Aswin Sekar
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
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- Gout, Hyperuricemia, Uric Acid 1
- Co-authors
- Timothy R. Hammond (1 shared paper)Michael C. Carroll (1 shared paper)Steven A McCarroll (1 shared paper)Robert E. Handsaker (1 shared paper)Giulio Genovese (2 shared papers)Heather de Rivera (1 shared paper)Vanessa Van Doren (1 shared paper)Matthew L. Baum (1 shared paper)
- Journals
- Nature (3 papers)Blood (2 papers)Blood Cancer Journal (2 papers)Blood Advances (2 papers)Circulation Heart Failure (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Aswin Sekar
16 papers receiving 2.9k citations
Aswin Sekar's Hit Papers
Peers
Comparison fields: 5 of 87
- Biological Psychiatry 148
- Neurology 186
- Psychiatry and Mental health 527
- Hematology 264
- Genetics 285
Countries citing papers authored by Aswin Sekar
This map shows the geographic impact of Aswin Sekar'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 Aswin Sekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aswin Sekar more than expected).
Fields of papers citing papers by Aswin Sekar
This network shows the impact of papers produced by Aswin Sekar. 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 Aswin Sekar. The network helps show where Aswin Sekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aswin Sekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Schizophrenia risk from complex variation of complement component 4 Hit paper breakdown → | 2016 | 1852 |
| 2 | 2008 | 249 | |
| 3 | Distinction of lymphoid and myeloid clonal hematopoiesis Hit paper breakdown → | 2021 | 218 |
| 4 | 2020 | 178 | |
| 5 | 2019 | 147 | |
| 6 | 2021 | 120 | |
| 7 | 2022 | 117 | |
| 8 | 2008 | 40 | |
| 9 | 2024 | 34 | |
| 10 | 2008 | 24 | |
| 11 | 2023 | 21 | |
| 12 | 2025 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 |
About Aswin Sekar
Aswin Sekar is a scholar working on Genetics, Nephrology, Hematology, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Schizophrenia research and treatment (1 paper), Acute Myeloid Leukemia Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Bone Metabolism and Diseases (1 paper), Heart Failure Treatment and Management (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Biological Psychiatry (148 citations), Neurology (186 citations), Psychiatry and Mental health (527 citations), Hematology (264 citations) and Genetics (285 citations). Aswin Sekar has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Timothy R. Hammond, Michael C. Carroll, Steven A McCarroll, Robert E. Handsaker, Giulio Genovese, Heather de Rivera, Vanessa Van Doren, Matthew L. Baum, Mark Daly and Katherine Tooley. Their work appears in journals such as Nature, Blood, Blood Cancer Journal, Blood Advances and Circulation Heart Failure.
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.