Amit V. Khera
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- Cardiovascular Disease and Adiposity 12
- Cardiovascular Function and Risk Factors 7
- Genetics top 0.2%
- Genetic Associations and Epidemiology 32
- BRCA gene mutations in cancer 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Cancer Research top 2%
- Surgery top 1%
- Lipoproteins and Cardiovascular Health 22
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- Liver Disease Diagnosis and Treatment 10
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- Health Systems, Economic Evaluations, Quality of Life 8
- Co-authors
- Sekar KathiresanConnor A. EmdinPatrick T. EllinorPradeep NatarajanKrishna G. AragamMary E. HaasMark ChaffinEric S. Lander
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Amit V. Khera
95 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cardiology and Cardiovascular Medicine 3.3k
- Genetics 3.4k
- Endocrinology, Diabetes and Metabolism 1.3k
- Cancer Research 808
- Surgery 2.2k
Countries citing papers authored by Amit V. Khera
This map shows the geographic impact of Amit V. Khera'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 Amit V. Khera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit V. Khera more than expected).
Fields of papers citing papers by Amit V. Khera
This network shows the impact of papers produced by Amit V. Khera. 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 Amit V. Khera. The network helps show where Amit V. Khera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit V. Khera, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 75 | |
| 9 | 2022 | 5 | |
| 10 | Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studiesbreakdown → | 2021 | 210 |
| 11 | 2021 | 55 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 101 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 129 | |
| 16 | Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Diseasebreakdown → | 2020 | 295 |
| 17 | 2019 | 27 | |
| 18 | Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutationsbreakdown → | 2018 | 1631 |
| 19 | 2017 | 1 | |
| 20 | 2017 | 150 |
About Amit V. Khera
Amit V. Khera is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 104 papers that have together received 11.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (32 papers), Lipoproteins and Cardiovascular Health (22 papers), Cardiovascular Disease and Adiposity (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), BRCA gene mutations in cancer (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Cardiovascular Function and Risk Factors (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.3k citations), Genetics (3.4k citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). Amit V. Khera has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Sekar Kathiresan, Connor A. Emdin, Sekar Kathiresan, Patrick T. Ellinor, Pradeep Natarajan, Krishna G. Aragam, Mary E. Haas, Mark Chaffin, Eric S. Lander and Steven A. Lubitz. Their work appears in journals such as New England Journal of Medicine, Cell 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.