Sekar Kathiresan
- Genetics top 0.1%
- Molecular Biology top 2%
- Surgery top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Amit V. KheraConnor A. EmdinPradeep NatarajanPatrick T. EllinorKrishna G. AragamMary E. HaasMark ChaffinEric S. Lander
- Topics
- Genetic Associations and Epidemiology (42 papers)Lipoproteins and Cardiovascular Health (19 papers)Lipid metabolism and disorders (16 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sekar Kathiresan
104 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Genetics 4.7k
- Molecular Biology 3.2k
- Surgery 3.2k
- Cardiology and Cardiovascular Medicine 3.2k
- Endocrinology, Diabetes and Metabolism 2.3k
Countries citing papers authored by Sekar Kathiresan
This map shows the geographic impact of Sekar Kathiresan'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 Sekar Kathiresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sekar Kathiresan more than expected).
Fields of papers citing papers by Sekar Kathiresan
This network shows the impact of papers produced by Sekar Kathiresan. 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 Sekar Kathiresan. The network helps show where Sekar Kathiresan may publish in the future.
Co-authorship network of co-authors of Sekar Kathiresan
This figure shows the co-authorship network connecting the top 25 collaborators of Sekar Kathiresan. A scholar is included among the top collaborators of Sekar Kathiresan 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 Sekar Kathiresan. Sekar Kathiresan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 129 | |
| 4 | Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Diseasebreakdown → | 295 |
| 5 | Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditionsbreakdown → | 252 |
| 6 | 3 | |
| 7 | Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutationsbreakdown → | 1631 |
| 8 | 11 | |
| 9 | 150 | |
| 10 | 189 | |
| 11 | 110 | |
| 12 | 89 | |
| 13 | 327 | |
| 14 | 209 | |
| 15 | 79 | |
| 16 | 5 | |
| 17 | 494 | |
| 18 | 71 | |
| 19 | 44 | |
| 20 | 25 |
About Sekar Kathiresan
Sekar Kathiresan is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 106 papers that have together received 13.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (42 papers), Lipoproteins and Cardiovascular Health (19 papers) and Lipid metabolism and disorders (16 papers). The work is most often cited by research in Genetics (4.7k citations), Cardiology and Cardiovascular Medicine (3.2k citations) and Endocrinology, Diabetes and Metabolism (2.3k citations). Sekar Kathiresan has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Amit V. Khera, Connor A. Emdin, Pradeep Natarajan, Patrick T. Ellinor, Krishna G. Aragam, Mary E. Haas, Mark Chaffin, Eric S. Lander, Kiran Musunuru and Deepak Srivastava. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.