University, Subject, Country, Region, World

National Institute on Aging Scientists Rankings 2024

AD Scientific Index analyzes academic studies from 1 countries, 1 universities/institutions, and 51 scientists by using H index, i10 index and citation count criteria to present results to be used for the evaluation of productivity and efficiency by individuals and institutions. In addition to the ranking by "total H-index", you can also see the ranking and analysis by "last 6 years H-index", "total i10 index", "last 6 years i10 index", "total citations", and “last 6 years citations”. Please see the methodology for "Limitations and Possible Reasons for Not Including a Scientist in this List". Click for individual or institutional registration.

Country

Total 51 scientist, 1 country, 1 university

List without CERN, Statistical Data etc.

Sort by last 6 years H Index

				AD Scientific Index - World Scientists Rankings - 2024				H INDEX			i10 INDEX			CITATION
University / Institution	Country	Region	World	Name	Country	University / Institution	Subject	Total	Last 6 year	Last 6 year/total	Total	Last 6 year	Last 6 year/total	Total	Last 6 year	Last 6 year/total
1	21	23	45	Luigi Ferrucci ⁱ	United States	National Institute on Aging	National Institute on Aging, NIH Geriatrics and Gerontology \|	254	175	0.689	1,530	1,341	0.876	358,510	181,662	0.507
2	1,896	2,040	4,007	Myriam Gorospe	United States	National Institute on Aging	National Institute on Aging Aging \| RNA stability \| gene regulation \| molecular biology \| RNA \|	118	73	0.619	372	323	0.868	50,027	21,401	0.428
3	2,226	2,391	4,696	Rafael Carlos De Cabo	United States	National Institute on Aging	Translational Gerontology Branch, National Institute on Aging Aging and Caloric Restriction \|	113	85	0.752	303	271	0.894	55,146	28,289	0.513
4	2,538	2,735	5,375	Mark Cookson ⁱ	United States	National Institute on Aging	Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health Parkinson's disease \|	109	70	0.642	270	224	0.830	59,177	27,917	0.472
5	5,096	5,548	10,922	Bryan Traynor	United States	National Institute on Aging	Laboratory of Neurogenetics, National Institute on Aging amyotrophic lateral sclerosis \| frontotemporal dementia \| myasthenia gravis \| neuromuscular disorders \|	90	63	0.700	200	171	0.855	41,967	21,367	0.509
6	8,996	9,854	19,986	Weidong Wang	United States	National Institute on Aging	National Institute on Aging Biomedical science \|	76	49	0.645	265	222	0.838	26,771	9,231	0.345
7	9,282	10,177	20,726	J Raphael Gibbs	United States	National Institute on Aging	Laboratory of Neurogenetics, NIA, NIH	75	63	0.840	149	140	0.940	35,471	19,683	0.555
8	21,011	23,391	51,328	Michel Bernier	United States	National Institute on Aging	Staff Scientist, National Institute on Aging, NIH metabolism \| inflammation \| cancer \| aging \|	56	41	0.732	145	92	0.634	13,505	6,934	0.513
9	21,027	23,407	51,382	Qing-Rong Liu	United States	National Institute on Aging	National Institute on Aging, NIH Molecular Neuroscience and Genetics \|	56	35	0.625	95	76	0.800	13,299	4,582	0.345
10	22,354	24,916	55,116	Victor A Maltsev	United States	National Institute on Aging	National Institute on Aging, National Institutes of Health biophysics \| arrhythmia \| Calcium \| electrophysiology \| excitation-contraction coupling \|	55	29	0.527	95	71	0.747	10,218	2,812	0.275
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11	23,098	25,747	57,128	Dimitrios Kapogiannis	United States	National Institute on Aging	National Institute on Aging (NIA NIH) Alzheimer's disease \| dementia \| biomarkers \| exosomes \| MRS \|	54	53	0.981	118	116	0.983	11,639	9,507	0.817
12	27,104	30,336	68,949	Richard G Spencer	United States	National Institute on Aging	National Institute on Aging, NIH	50	30	0.600	163	94	0.577	13,903	4,355	0.313
13	30,953	34,735	80,704	Arya Biragyn	United States	National Institute on Aging	National Institute on Aging Cancer \| autoimmunity \| aging \| immunotherapy \|	47	29	0.617	88	59	0.670	12,498	5,175	0.414
14	38,343	43,198	104,488	Marta González-Freire	United States	National Institute on Aging	National Institute on Aging, Baltimore Aging \| mitochondrial dysfunction \| skeletal muscle \| energetics \|	43	34	0.791	62	57	0.919	5,362	4,092	0.763
15	38,684	43,564	105,406	Roy Cutler	United States	National Institute on Aging	National Institute on Aging brain evolution \| chromosomal remodeling \| development \| aging \|	42	29	0.690	54	48	0.889	11,927	4,929	0.413
16	41,271	46,457	113,371	Cornelis Blauwendraat	United States	National Institute on Aging	NIH NIA	41	39	0.951	90	88	0.978	6,892	6,739	0.978
17	44,150	49,810	123,674	Eric Shiroma	United States	National Institute on Aging	NIH National Institute on Aging	39	36	0.923	64	63	0.984	17,788	12,608	0.709
18	50,986	57,557	146,914	Nicole Noren Hooten	United States	National Institute on Aging	Staff Scientist, National Institute on Aging, National Institutes of Health aging \| senescence \| noncoding RNAs \| microRNAs \| extracellular vesicles \|	36	30	0.833	49	48	0.980	13,637	9,895	0.726
19	63,446	71,694	189,709	Sara Bandres Ciga	United States	National Institute on Aging	Postdoctoral Research Fellow, NIA, NIH	32	31	0.969	56	56	1.000	4,526	4,444	0.982
20	68,843	77,824	210,267	Jennifer Pacheco	United States	National Institute on Aging	Postdoctoral Fellow, National Institute on Aging neuroimaging \| fMRI \| cognitive aging \| Alzheimer's disease \|	30	24	0.800	33	30	0.909	7,919	3,717	0.469
21	69,941	79,051	213,282	Christopher A Dunn	United States	National Institute on Aging	NIA NIH	30	17	0.567	45	25	0.556	4,305	1,529	0.355
22	72,229	81,724	223,198	Nathan L Price	United States	National Institute on Aging	Staff Scientist, Experimental Gerontology Section, NIA	29	28	0.966	39	39	1.000	12,087	5,280	0.437
23	89,752	101,518	288,867	Maire Doyle	United States	National Institute on Aging	NIA Diabetes \| Metabolism \| Aging \| Taste Organoids \| Effect of SARS-CoV-2 in taste \|	25	19	0.760	36	28	0.778	4,561	1,333	0.292
24	90,469	102,309	290,724	Jaime Iranzo	United States	National Institute on Aging	Centre for Plant Biotechnology and Genomics, UPM-INIA Evolutionary Biology \| Theoretical Biology \| Game Theory \|	25	19	0.760	30	27	0.900	3,477	3,007	0.865
25	96,232	108,832	312,478	Murat Bilgel	United States	National Institute on Aging	Laboratory of Behavioral Neuroscience, National Institute on Aging Medical image analysis \| longitudinal statistical modeling \|	24	24	1.000	39	39	1.000	2,793	2,114	0.757
26	96,383	109,003	312,996	Changyoun Kim	United States	National Institute on Aging	National Institute on Aging NIH Neurodegenerative diseases \|	24	24	1.000	31	30	0.968	2,712	2,199	0.811
27	100,168	113,297	329,096	Monica Bodogai	United States	National Institute on Aging	National Institute on Aging, NIH Immune regulation \| homeostasis \|	23	18	0.783	27	24	0.889	4,460	3,302	0.740
28	101,998	115,340	334,369	Ismayil Ahmet	United States	National Institute on Aging	National Institute on Aging, NIH Aging and Cardiovascular Diseases \|	23	16	0.696	27	20	0.741	2,519	874	0.347
29	102,628	116,044	336,617	Ross Mcdevitt	United States	National Institute on Aging	National Institute on Aging Aging \| Alzheimer's \| serotonin \| reward \| optogenetics \|	23	18	0.783	26	23	0.885	2,274	1,330	0.585
30	142,673	160,944	495,899	Dan Benjamini	United States	National Institute on Aging	Stadtman Tenure-Track Investigator, NIA, NIH Multidimensional MRI \| diffusion-relaxation \| brain microstructure \| astrogliosis \| aging \|	18	16	0.889	25	22	0.880	878	770	0.877
31	160,585	180,905	563,128	Andrea T Shafer	United States	National Institute on Aging	Laboratory of Behavioral Neuroscience, National Institute on Aging aging \| emotion \| memory \|	16	15	0.938	19	17	0.895	911	724	0.795
32	182,015	204,584	645,099	Louis Rezanka	United States	National Institute on Aging	NIA	14	6	0.429	15	3	0.200	815	108	0.133
33	188,129	211,370	673,222	Konstantinos Avgerinos	United States	National Institute on Aging	Human Neuroscience Section, National Institute on Aging, NIH Brain Metabolism \| Alzheimer's disease \| Stroke \|	13	13	1.000	14	14	1.000	1,609	1,602	0.996
34	190,097	213,516	678,283	Hagai Yanai	United States	National Institute on Aging	National Institute on Aging Aging \| Stem Cells \| Molecular Biology \|	13	10	0.769	15	11	0.733	1,114	681	0.611
35	193,096	216,842	688,477	Cristina Banuelos	United States	National Institute on Aging	Postdoctoral Fellow, National Institute on Aging neurocognitive aging \| inhibitory networks \| basal forebrain \|	13	10	0.769	14	11	0.786	804	401	0.499
36	198,488	222,927	719,095	Elliot Glotfelty	United States	National Institute on Aging	Graduate Student at National Institute on Aging (NIH) Karolinska Institutet Neurodegeneration \| microglia \| drug development \| neuroinflammation \|	13	13	1.000	16	16	1.000	378	353	0.934
37	203,874	228,751	732,976	Beverly Baptiste	United States	National Institute on Aging	National Institute on Aging	12	10	0.833	13	10	0.769	843	706	0.837
38	205,132	230,131	737,404	Amalendu Ghosh	United States	National Institute on Aging	National Institute on Aging National Institute of Health B and T cell development \|	12	10	0.833	13	10	0.769	741	246	0.332
39	206,105	231,229	741,347	Qiong Meng	United States	National Institute on Aging	NIA Microbiology \| Microbiome \| Extracellular vesicles \| NGS \|	12	11	0.917	14	11	0.786	677	478	0.706
40	208,361	233,754	752,296	Erden Eren	United States	National Institute on Aging	National Institute on Aging Neurodegenerative Diseases \| Biomarkers \| Extracellular Vesicles \| Assay Development \|	12	12	1.000	13	12	0.923	553	531	0.960
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41	215,435	241,526	781,556	Palchamy Elango	United States	National Institute on Aging	Translational Gerontology Branch, National Institute on Aging, NIH (Kelly Services) Informatics Big data Clinical data Bioinformatics NGS SAS \|	11	9	0.818	11	9	0.818	875	590	0.674
42	221,527	248,306	805,527	Fulya Akçimen	United States	National Institute on Aging	National Institute on Aging	11	11	1.000	16	16	1.000	471	464	0.985
43	223,886	250,922	821,224	Wenshu Qian	United States	National Institute on Aging	National Institute on Aging MRI \| Neuroimaging \| Aging \|	11	10	0.909	11	10	0.909	341	249	0.730
44	244,944	273,958	903,531	Ahsan Habib	United States	National Institute on Aging	Postdoctoral Fellow, National Institute on Aging Striatum \| Learning \| Dopamine \| Parkinson's disease \|	9	9	1.000	9	9	1.000	432	376	0.870
45	245,812	274,911	907,468	Yoonseo Kim	United States	National Institute on Aging	National Institute on Aging, National Institutes of Health Inflammation \| Aging \| miRNAs \|	9	8	0.889	9	7	0.778	390	248	0.636
46	247,120	276,341	914,601	Ravi Tharakan	United States	National Institute on Aging	Postdoctoral Fellow, NIA Biology of aging \|	9	8	0.889	9	7	0.778	334	256	0.766
47	247,594	276,863	917,604	Srijita Dhar	United States	National Institute on Aging	NIH NIA, Postdoctoral Fellow Helicase \| Molecular biology \| DNA damage repair response \| physiology \| vascular biology \|	9	8	0.889	9	7	0.778	315	179	0.568
48	270,819	302,242	1,049,737	Amy M Spiegel (Stocker)	United States	National Institute on Aging	Postdoctoral Fellow, National Institute on Aging Neurobiology of age-related memory impairment \|	6	6	1.000	6	6	1.000	404	210	0.520
49	271,445	302,899	1,051,607	Geoffrey Lovely	United States	National Institute on Aging	National Institute on Aging Physical Biology/Immunology \|	6	6	1.000	4	4	1.000	353	218	0.618
50	277,227	309,265	1,101,231	Cedric Belair	United States	National Institute on Aging	National Institute on Aging RNA decay \|	5	5	1.000	5	5	1.000	286	143	0.500
51	280,308	312,746	1,147,705	Dario Dieguez Jr, Mph	United States	National Institute on Aging	National Institute on Aging	4	4	1.000	4	3	0.750	387	152	0.393