Iftikhar J. Kullo

25.7k total citations · 1 hit paper
289 papers, 9.3k citations indexed

About

Iftikhar J. Kullo is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Iftikhar J. Kullo has authored 289 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Surgery, 87 papers in Cardiology and Cardiovascular Medicine and 86 papers in Genetics. Recurrent topics in Iftikhar J. Kullo's work include Genetic Associations and Epidemiology (56 papers), Lipoproteins and Cardiovascular Health (48 papers) and Peripheral Artery Disease Management (46 papers). Iftikhar J. Kullo is often cited by papers focused on Genetic Associations and Epidemiology (56 papers), Lipoproteins and Cardiovascular Health (48 papers) and Peripheral Artery Disease Management (46 papers). Iftikhar J. Kullo collaborates with scholars based in United States, Canada and China. Iftikhar J. Kullo's co-authors include Stephen T. Turner, Kent R. Bailey, Keyue Ding, Thomas H. Mosley, Thais Coutinho, Thom W. Rooke, Christopher G. Chute, George G. Klee, A. Rauoof Malik and Allison A. Ellington and has published in prestigious journals such as New England Journal of Medicine, Circulation and Nature Communications.

In The Last Decade

Iftikhar J. Kullo

279 papers receiving 9.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Principles and methods for transferring polygenic risk scores across global populations

2023 103 citations Linda Kachuri, Nilanjan Chatterjee et al. Nature Reviews Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Iftikhar J. Kullo United States	53	2.6k	2.3k	1.9k	1.6k	1.2k	289	9.3k
Martin Landray United Kingdom	37	2.1k 0.8×	1.5k 0.7×	1.4k 0.7×	2.1k 1.4×	920 0.8×	124	11.4k
Folkert W. Asselbergs Netherlands	47	5.1k 2.0×	1.7k 0.7×	2.8k 1.5×	1.2k 0.8×	779 0.6×	470	10.9k
Gail P. Jarvik United States	60	1.4k 0.5×	1.3k 0.6×	2.1k 1.1×	3.1k 2.0×	2.1k 1.7×	264	11.1k
David L. DeMets United States	52	3.9k 1.5×	1.9k 0.8×	1.2k 0.6×	1.2k 0.7×	1.5k 1.3×	163	14.3k
Amit V. Khera United States	34	3.3k 1.2×	2.2k 1.0×	2.3k 1.2×	3.4k 2.2×	524 0.4×	104	11.5k
Pim van der Harst Netherlands	54	5.4k 2.0×	1.8k 0.8×	2.6k 1.3×	1.1k 0.7×	851 0.7×	385	12.5k
Laurel A. Habel United States	47	764 0.3×	2.0k 0.9×	3.2k 1.7×	902 0.6×	1.8k 1.5×	200	9.9k
Marianne Ewertz Denmark	51	1.9k 0.7×	1.8k 0.8×	1.5k 0.8×	1.4k 0.9×	2.7k 2.3×	171	14.6k
Jon Godwin United Kingdom	24	4.0k 1.5×	2.5k 1.1×	732 0.4×	986 0.6×	2.2k 1.8×	78	15.5k
Carlos Iribarren United States	63	3.2k 1.2×	1.8k 0.8×	1.4k 0.7×	889 0.6×	3.0k 2.5×	227	13.0k

Countries citing papers authored by Iftikhar J. Kullo

Since Specialization

Citations

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

Fields of papers citing papers by Iftikhar J. Kullo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iftikhar J. Kullo. 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 Iftikhar J. Kullo. The network helps show where Iftikhar J. Kullo may publish in the future.

Co-authorship network of co-authors of Iftikhar J. Kullo

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

All Works

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20 of 20 papers shown

Kullo, Iftikhar J.. (2025). Clinical use of polygenic risk scores: current status, barriers and future directions. Nature Reviews Genetics. 27(3). 246–263. 1 indexed citations

Smith, Johanna L., Catherine Tcheandjieu, Ozan Dikilitas, et al.. (2024). Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circulation Genomic and Precision Medicine. 17(3). e004272–e004272. 8 indexed citations

Asatryan, Babken, Brittney Murray, Rafik Tadros, et al.. (2024). Promise and Peril of a Genotype‐First Approach to Mendelian Cardiovascular Disease. Journal of the American Heart Association. 13(21). e033557–e033557. 4 indexed citations

Norland, Kristján, Daniel J. Schaid, & Iftikhar J. Kullo. (2023). A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease. European Journal of Human Genetics. 32(2). 209–214. 3 indexed citations

Hui, Daniel, Scott Dudek, Krzysztof Kiryluk, et al.. (2023). Risk factors affecting polygenic score performance across diverse cohorts. eLife. 12.

Singhal, Pankhuri, Yogasudha Veturi, Scott Dudek, et al.. (2023). Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets. The American Journal of Human Genetics. 110(4). 575–591. 9 indexed citations

Kachuri, Linda, Nilanjan Chatterjee, Jibril Hirbo, et al.. (2023). Principles and methods for transferring polygenic risk scores across global populations. Nature Reviews Genetics. 25(1). 8–25. 103 indexed citations breakdown →

Bangash, Hana, Seyedmohammad Saadatagah, Joseph Sutton, et al.. (2023). Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia. Journal of Personalized Medicine. 13(6). 929–929. 1 indexed citations

Pividori, Milton, Sumei Lu, Binglan Li, et al.. (2023). Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14(1). 5562–5562. 9 indexed citations

10.

Saadatagah, Seyedmohammad, Alexandra Miller, Hana Bangash, et al.. (2022). Abstract 10360: Polygenic Risk Score, Rare Monogenic Variants, and Family History Have Independent and Additive Effects on the Risk of Coronary Heart Disease. Circulation. 146(Suppl_1). 1 indexed citations

11.

Wang, Chen, Atlas Khan, Ning Shang, et al.. (2021). Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digital Medicine. 4(1). 116–116. 10 indexed citations

12.

Bangash, Hana, et al.. (2021). Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation. JMIR Human Factors. 9(1). e32568–e32568. 12 indexed citations

13.

Kumar, Seema, Jobayer Hossain, Asma Javed, Iftikhar J. Kullo, & Prabhakaran Balagopal. (2017). Relationship of circulating spexin with markers of cardiovascular disease: a pilot study in adolescents with obesity. Pediatric Obesity. 13(6). 374–380. 57 indexed citations

14.

Brown, Sherry‐Ann, Hayan Jouni, & Iftikhar J. Kullo. (2016). Abstract 15090: Impact of Disclosure of Genetic Risk for Coronary Heart Disease on Physician Attitudes and Decision-Making: The MI-GENES Study. Circulation. 134. 1 indexed citations

15.

Safarova, Maya & Iftikhar J. Kullo. (2016). My Approach to the Patient With Familial Hypercholesterolemia. Mayo Clinic Proceedings. 91(6). 770–786. 27 indexed citations

16.

Kullo, Iftikhar J., Raad A. Haddad, Cynthia A. Prows, et al.. (2014). Return of results in the genomic medicine projects of the eMERGE network. Frontiers in Genetics. 5. 50–50. 36 indexed citations

17.

Fan, J, Adelaide M. Arruda‐Olson, Cynthia L. Leibson, et al.. (2013). Billing code algorithms to identify cases of peripheral artery disease from administrative data. Journal of the American Medical Informatics Association. 20(e2). e349–e354. 83 indexed citations

18.

Arain, Faisal A., Zi Ye, Kent R. Bailey, et al.. (2012). Survival in Patients With Poorly Compressible Leg Arteries. Journal of the American College of Cardiology. 59(4). 400–407. 60 indexed citations

19.

Smith, Jennifer A., Stephen T. Turner, Yan V. Sun, et al.. (2009). Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study. BMC Medical Genomics. 2(1). 16–16. 28 indexed citations

20.

Kondragunta, Venkateswarlu, et al.. (2009). Haemostatic markers are associated with measures of vascular disease in adults with hypertension. Journal of Human Hypertension. 23(8). 530–537. 16 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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