Madhav Thambisetty

14.2k total citations · 1 hit paper
115 papers, 6.7k citations indexed

About

Madhav Thambisetty is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Madhav Thambisetty has authored 115 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Physiology, 51 papers in Molecular Biology and 39 papers in Psychiatry and Mental health. Recurrent topics in Madhav Thambisetty's work include Alzheimer's disease research and treatments (54 papers), Dementia and Cognitive Impairment Research (37 papers) and Metabolomics and Mass Spectrometry Studies (19 papers). Madhav Thambisetty is often cited by papers focused on Alzheimer's disease research and treatments (54 papers), Dementia and Cognitive Impairment Research (37 papers) and Metabolomics and Mass Spectrometry Studies (19 papers). Madhav Thambisetty collaborates with scholars based in United States, United Kingdom and Sweden. Madhav Thambisetty's co-authors include Yang An, Simon Lovestone, Susan M. Resnick, Juan C. Troncoso, Cristina Legido‐Quigley, Luigi Ferrucci, Richard O’Brien, Allan I. Levey, James J. Lah and Nicholas T. Seyfried and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Madhav Thambisetty

113 papers receiving 6.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence for brain glucose dysregulation in Alzheimer's disease

2017 360 citations Yang An, Vijay R. Varma et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Madhav Thambisetty United States	43	3.4k	2.8k	1.3k	917	599	115	6.7k
Kwasi G. Mawuenyega United States	24	3.9k 1.2×	1.7k 0.6×	1.6k 1.2×	1.2k 1.3×	511 0.9×	34	5.9k
Christiane Reitz United States	40	3.7k 1.1×	1.9k 0.7×	2.4k 1.8×	1.3k 1.4×	537 0.9×	113	8.1k
Kevin Taddei Australia	40	3.0k 0.9×	1.3k 0.4×	1.6k 1.2×	796 0.9×	388 0.6×	123	5.7k
Christine A. F. Von Arnim Germany	46	3.3k 1.0×	2.2k 0.8×	923 0.7×	963 1.1×	1.2k 2.0×	176	6.3k
Simone Lista France	40	2.5k 0.7×	1.4k 0.5×	1.6k 1.2×	771 0.8×	430 0.7×	126	4.7k
Hans Basun Sweden	50	4.2k 1.2×	1.6k 0.6×	2.1k 1.6×	1.1k 1.1×	736 1.2×	133	7.4k
James J. Lah United States	59	4.5k 1.3×	4.1k 1.5×	1.2k 0.9×	1.7k 1.8×	1.0k 1.7×	204	9.4k
Wei Qiao Qiu United States	36	2.9k 0.9×	1.9k 0.7×	821 0.6×	749 0.8×	278 0.5×	114	5.8k
Carlos Cruchaga United States	45	4.0k 1.2×	2.6k 0.9×	1.2k 0.9×	2.7k 3.0×	1.3k 2.1×	214	8.0k
Lin Tan China	31	1.6k 0.5×	1.5k 0.5×	1.2k 0.9×	836 0.9×	334 0.6×	85	4.6k

Countries citing papers authored by Madhav Thambisetty

Since Specialization

Citations

This map shows the geographic impact of Madhav Thambisetty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Madhav Thambisetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhav Thambisetty more than expected).

Fields of papers citing papers by Madhav Thambisetty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhav Thambisetty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Madhav Thambisetty. The network helps show where Madhav Thambisetty may publish in the future.

Co-authorship network of co-authors of Madhav Thambisetty

This figure shows the co-authorship network connecting the top 25 collaborators of Madhav Thambisetty. A scholar is included among the top collaborators of Madhav Thambisetty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhav Thambisetty. Madhav Thambisetty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kepp, Kasper P., Poul Flemming Høilund‐Carlsen, Ioana A. Cristea, et al.. (2025). Communicating scientific evidence: drugs for Alzheimer’s disease as a case study. PubMed. 41(2). 347–354. 1 indexed citations

Terracciano, Antonio, Keenan A. Walker, Yang An, et al.. (2025). Loneliness and Biomarkers of Alzheimer’s Disease, Axonal Damage, and Astrogliosis: A Coordinated Analysis of Two Longitudinal Cohorts. The Journals of Gerontology Series B. 80(4). 1 indexed citations

Desai, Rishi, Vijay R. Varma, Mufaddal Mahesri, et al.. (2025). Population‐Based Validation Results From the Drug Repurposing for Effective Alzheimer's Medicines (DREAM) Study. Clinical Pharmacology & Therapeutics. 117(4). 1039–1050. 1 indexed citations

Varma, Vijay R., Yang An, Przemysław R. Kac, et al.. (2025). Longitudinal progression of blood biomarkers reveals a key role of reactive astrocytosis in preclinical Alzheimer’s disease. Med. 6(9). 100724–100724. 3 indexed citations

Thambisetty, Madhav & Robert Howard. (2024). Conveying Risks of Harm in Alzheimer Disease by Amyloid Lowering. JAMA. 331(23). 1985–1985. 4 indexed citations

Bilgel, Murat, Yang An, Abhay Moghekar, et al.. (2024). Sex differences in the trajectories of plasma biomarkers, brain atrophy, and cognitive decline relative to amyloid onset. Alzheimer s & Dementia. 21(1). e14405–e14405. 3 indexed citations

Tian, Qu, Manuel Montero‐Odasso, Aron S. Buchman, et al.. (2023). Dual cognitive and mobility impairments and future dementia ‐ Setting a research agenda. Alzheimer s & Dementia. 19(4). 1579–1586. 26 indexed citations

Bilgel, Murat, Yang An, Keenan A. Walker, et al.. (2023). Longitudinal changes in Alzheimer's‐related plasma biomarkers and brain amyloid. Alzheimer s & Dementia. 19(10). 4335–4345. 40 indexed citations

Liu, Kathy, Nicolas Villain, Scott Ayton, et al.. (2023). Key questions for the evaluation of anti-amyloid immunotherapies for Alzheimer’s disease. Brain Communications. 5(3). fcad175–fcad175. 32 indexed citations

10.

Wingo, Aliza P., Yue Liu, Ekaterina S. Gerasimov, et al.. (2023). Sex differences in brain protein expression and disease. Nature Medicine. 29(9). 2224–2232. 37 indexed citations

11.

Trumpff, Caroline, Edward Owusu-Ansah, Hans‐Ulrich Klein, et al.. (2022). Mitochondrial respiratory chain protein co-regulation in the human brain. Heliyon. 8(5). e09353–e09353. 5 indexed citations

12.

Chan, Kimberly L., et al.. (2021). Multimodal Imaging and Visual Evoked Potentials Reveal Key Structural and Functional Features That Distinguish Symptomatic From Presymptomatic Huntington's Disease Brain. Neurology India. 69(5). 1247–1258. 9 indexed citations

13.

Mahajan, Uma V., Vijay R. Varma, Michael Griswold, et al.. (2020). Dysregulation of multiple metabolic networks related to brain transmethylation and polyamine pathways in Alzheimer disease: A targeted metabolomic and transcriptomic study. PLoS Medicine. 17(1). e1003012–e1003012. 112 indexed citations

14.

Thambisetty, Madhav. (2020). Mild Cognitive Impairment: An Update For The Practicing Clinician. 7. 1 indexed citations

15.

Wingo, Aliza P., Wen Fan, Duc M. Duong, et al.. (2020). Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain. Nature Neuroscience. 23(6). 696–700. 100 indexed citations

16.

Wingo, Aliza P., Eric B. Dammer, Michael S. Breen, et al.. (2019). Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age. Nature Communications. 10(1). 1619–1619. 128 indexed citations

17.

Varma, Vijay R., Anup Mammen Oommen, Sudhir Varma, et al.. (2018). Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Medicine. 15(1). e1002482–e1002482. 344 indexed citations

18.

Khan, Wasim, Carlos Aguilar, Steven J. Kiddle, et al.. (2015). A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer’s Disease. PLoS ONE. 10(8). e0134368–e0134368. 26 indexed citations

19.

Gupta, Veer Bala, James D. Doecke, Eugene Hone, et al.. (2015). Plasma apolipoprotein J as a potential biomarker for Alzheimer's disease: Australian Imaging, Biomarkers and Lifestyle study of aging. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 3(1). 18–26. 30 indexed citations

20.

Thambisetty, Madhav, Patrick Lavin, Nancy J. Newman, & Valérie Biousse. (2007). Fulminant idiopathic intracranial hypertension. Neurology. 68(3). 229–232. 183 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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