Amit V. Khera

30.2k total citations · 13 hit papers
104 papers, 11.5k citations indexed

About

Amit V. Khera is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Surgery. According to data from OpenAlex, Amit V. Khera has authored 104 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 35 papers in Genetics and 23 papers in Surgery. Recurrent topics in Amit V. Khera's work include Genetic Associations and Epidemiology (32 papers), Lipoproteins and Cardiovascular Health (22 papers) and Cardiovascular Disease and Adiposity (12 papers). Amit V. Khera is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Lipoproteins and Cardiovascular Health (22 papers) and Cardiovascular Disease and Adiposity (12 papers). Amit V. Khera collaborates with scholars based in United States, South Korea and United Kingdom. Amit V. Khera's 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 and has published in prestigious journals such as New England Journal of Medicine, Cell and The Lancet.

In The Last Decade

Amit V. Khera

95 papers receiving 11.3k citations

Hit Papers

5 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.

Forecasting the Future of Cardiovascular Disease in the United States

2011 2.4k citations Amit V. Khera et al. Circulation profile →
Mendelian Randomization

2017 2.0k citations Connor A. Emdin, Amit V. Khera et al. profile →
Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

2018 1.6k citations Amit V. Khera, Mark Chaffin et al. Nature Genetics profile →
Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease

2016 857 citations Amit V. Khera, Connor A. Emdin et al. profile →
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood

2019 432 citations Amit V. Khera, Mark Chaffin et al. profile →
Genetics of coronary artery disease: discovery, biology and clinical translation

2017 401 citations Amit V. Khera, Sekar Kathiresan profile →
Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease

2020 295 citations Aniruddh P. Patel, Minxian Wang et al. Arteriosclerosis Thrombosis and Vascular Biology profile →
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions

2020 252 citations Akl C. Fahed, Minxian Wang et al. Nature Communications profile →
Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease

2022 232 citations Mary E. Haas, Minxian Wang et al. profile →
Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studies

2021 210 citations Min Seo Kim, Won Jun Kim et al. European Heart Journal profile →
Efficacy and Safety of an Investigational Single-Course CRISPR Base-Editing Therapy Targeting PCSK9 in Nonhuman Primate and Mouse Models

2022 132 citations Sekar Kathiresan, Amit V. Khera et al. Circulation profile →
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease

2023 98 citations Aniruddh P. Patel, Minxian Wang et al. profile →
GalNAc-Lipid nanoparticles enable non-LDLR dependent hepatic delivery of a CRISPR base editing therapy

2023 93 citations Amit V. Khera, Sekar Kathiresan et al. Nature Communications profile →

Peers

Amit V. Khera

GENET

CCM

SURGE

EPIDE

Erik Ingelsson Sweden

Claudia Langenberg United Kingdom

Sekar Kathiresan United States

Adam S. Butterworth United Kingdom

Michael V. Holmes United Kingdom

Barry I. Freedman United States

Martin Landray United Kingdom

Iftikhar J. Kullo United States

Alexandre C. Pereira Brazil

Gail P. Jarvik United States

Erik Ingelsson Sweden

Amit V. Khera

2.3k ×0.7

GENET

3.3k ×1.0

CCM

2.9k ×1.3

1.5k ×0.7

SURGE

2.1k ×1.4

EPIDE

Citations per year, relative to Amit V. Khera Amit V. Khera (= 1×) peers Erik Ingelsson

Countries citing papers authored by Amit V. Khera

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Amit V. Khera

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bardach, Shoshana H., Laurence Sperling, Benjamin L. S. Furman, et al.. (2025). Novel strategies to FIND people living with genetic dyslipidemias: The family heart foundation flag, identify, network, and deliver (FIND) familial hypercholesterolemia collaborative learning network. American Journal of Preventive Cardiology. 23. 101275–101275.

Dong, Weilai, Yuan Lu, Shu‐Xia Li, et al.. (2025). Coronary Artery Disease–Based Polygenic Risk Score in Early-Onset Acute Myocardial Infarction Subtypes. JACC Advances. 4(8). 101994–101994.

Tang, W.H. Wilson, Quan M. Bui, Allison L. Cirino, et al.. (2025). Cardiologists' Perceptions of Cardiogenetic Testing and Management. JACC Advances. 4(8). 101910–101910. 1 indexed citations

Kim, Min Seo, Soyeon Kim, Beomsu Kim, et al.. (2023). Causal effect of adiposity on the risk of 19 gastrointestinal diseases: a Mendelian randomization study. Obesity. 31(5). 1436–1444. 22 indexed citations

Reeskamp, Laurens F., Injeong Shim, Jacqueline S. Dron, et al.. (2023). Polygenic Background Modifies Risk of Coronary Artery Disease Among Individuals With Heterozygous Familial Hypercholesterolemia. JACC Advances. 2(9). 100662–100662. 7 indexed citations

Shim, Injeong, Hiroyuki Kuwahara, Mais Hashem, et al.. (2023). Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nature Communications. 14(1). 6535–6535. 5 indexed citations

Klarqvist, Marcus D. R., Saaket Agrawal, Nathaniel Diamant, et al.. (2022). Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. npj Digital Medicine. 5(1). 105–105. 8 indexed citations

Agrawal, Saaket, Minxian Wang, Marcus D. R. Klarqvist, et al.. (2022). Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots. Nature Communications. 13(1). 3771–3771. 75 indexed citations

Shi, Mengyao, Wei Chen, Xiao Sun, et al.. (2022). Association of Genome-Wide Polygenic Risk Score for Body Mass Index With Cardiometabolic Health From Childhood Through Midlife. Circulation Genomic and Precision Medicine. 15(4). e003375–e003375. 5 indexed citations

10.

Kim, Min Seo, Won Jun Kim, Amit V. Khera, et al.. (2021). Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studies. European Heart Journal. 42(34). 3388–3403. 210 indexed citations breakdown →

11.

Haas, Mary E., James P. Pirruccello, Sam Friedman, et al.. (2021). Machine learning enables new insights into genetic contributions to liver fat accumulation. Cell Genomics. 1(3). 100066–100066. 55 indexed citations

12.

Agrawal, Saaket, Marcus D. R. Klarqvist, Connor A. Emdin, et al.. (2021). Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns. 2(12). 100364–100364. 29 indexed citations

13.

Patel, Aniruddh P., Minxian Wang, Uri Kartoun, Kenney Ng, & Amit V. Khera. (2021). Quantifying and Understanding the Higher Risk of Atherosclerotic Cardiovascular Disease Among South Asian Individuals. Circulation. 144(6). 410–422. 101 indexed citations

14.

Wang, Minxian, Vivian S. Lee, Deepak Atri, et al.. (2021). Rare, Damaging DNA Variants in CORIN and Risk of Coronary Artery Disease: Insights From Functional Genomics and Large-Scale Sequencing Analyses. Circulation Genomic and Precision Medicine. 14(5). e003399–e003399. 9 indexed citations

15.

Pirruccello, James P., Alexander G. Bick, Minxian Wang, et al.. (2020). Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy. Nature Communications. 11(1). 129 indexed citations

16.

Patel, Aniruddh P., Minxian Wang, James P. Pirruccello, et al.. (2020). Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 41(1). 465–474. 295 indexed citations breakdown →

17.

Zekavat, Seyedeh M., Krishna G. Aragam, Connor A. Emdin, et al.. (2019). Genetic Association of Finger Photoplethysmography-Derived Arterial Stiffness Index With Blood Pressure and Coronary Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 39(6). 1253–1261. 27 indexed citations

18.

Khera, Amit V., Mark Chaffin, Krishna G. Aragam, et al.. (2018). Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nature Genetics. 50(9). 1219–1224. 1631 indexed citations breakdown →

19.

Aronow, Wilbert S., Amit V. Khera, Stephen L. Kopecky, et al.. (2017). The American Society for Preventive Cardiology Abstracts. Clinical Cardiology. 40(S1). 4–15. 1 indexed citations

20.

Klarin, Derek, Qiuyu Zhu, Connor A. Emdin, et al.. (2017). Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease. Nature Genetics. 49(9). 1392–1397. 150 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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