Sudha Seshadri

99.2k citations
481 papers · 31.0k indexed · 13 hit papers · h-index 94
Topics
Dementia and Cognitive Impairment Research (122 papers)Alzheimer's disease research and treatments (70 papers)Cerebrovascular and Carotid Artery Diseases (55 papers)

In The Last Decade

Sudha Seshadri

445 papers receiving 30.3k citations

Hit Papers

Plasma Homocysteine as a Risk Factor for Dementia and Alz...20002026200820172002200020152002201050010001.5k2.0k2.5k

Peers

Sudha Seshadri
Comparison fields: 5 of 191
  • Physiology 7.6k
  • Cardiology and Cardiovascular Medicine 7.0k
  • Psychiatry and Mental health 6.9k
  • Epidemiology 4.4k
  • Molecular Biology 4.0k
Replace Alexa Beiser with:
Alexa Beiser United States
M. Arfan Ikram Netherlands
Lenore J. Launer United States
Charles DeCarli United States
Miia Kivipelto Sweden
Rhoda Au United States
Christopher Chen Singapore
Ingmar Skoog Sweden
Lon R. White United States
Denis A. Evans United States
Sudha Seshadri relative to Alexa Beiser United States Alexa Beiser's profile →
Citations per field
00.5×1.5×
Alexa Beiser · 1×
Citations per year

Countries citing papers authored by Sudha Seshadri

Since Specialization
Citations

This map shows the geographic impact of Sudha Seshadri'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 Sudha Seshadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha Seshadri more than expected).

Fields of papers citing papers by Sudha Seshadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudha Seshadri. 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 Sudha Seshadri. The network helps show where Sudha Seshadri may publish in the future.

Co-authorship network of co-authors of Sudha Seshadri

This figure shows the co-authorship network connecting the top 25 collaborators of Sudha Seshadri. A scholar is included among the top collaborators of Sudha Seshadri 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 Sudha Seshadri. Sudha Seshadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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#WorkIndexed citations
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Association of Serum Neurofilament Light Chain Concentration and MRI Findings in Older Adults:The Cardiovascular Health Study
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About Sudha Seshadri

Sudha Seshadri is a scholar working on Psychiatry and Mental health, Physiology and Cardiology and Cardiovascular Medicine, having authored 481 papers that have together received 31.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (122 papers), Alzheimer's disease research and treatments (70 papers) and Cerebrovascular and Carotid Artery Diseases (55 papers). The work is most often cited by research in Psychiatry and Mental health (6.9k citations), Neurology (3.6k citations) and Cardiology and Cardiovascular Medicine (7.0k citations). Sudha Seshadri has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Alexa Beiser, Philip A. Wolf, Rhoda Au, Ralph B. D’Agostino, Ramachandran S. Vasan, Charles DeCarli, Jayandra J. Himali, Carlos S. Kase, Paul F. Jacques and Margaret Kelly‐Hayes. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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