Irfan Khan

1.5k total citations
40 papers, 1.0k citations indexed

About

Irfan Khan is a scholar working on Surgery, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Irfan Khan has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 16 papers in Economics and Econometrics and 10 papers in Artificial Intelligence. Recurrent topics in Irfan Khan's work include Lipoproteins and Cardiovascular Health (16 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Irfan Khan is often cited by papers focused on Lipoproteins and Cardiovascular Health (16 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Irfan Khan collaborates with scholars based in United States, United Kingdom and Italy. Irfan Khan's co-authors include Robert J. Sanchez, Dylan Steen, Robert P. Giugliano, JoAnne M. Foody, Rishi K. Wadhera, Christopher P. Cannon, William J. Sasiela, Matthew R. Reynolds, Michael Pencina and Eric D. Peterson and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The American Journal of Medicine.

In The Last Decade

Irfan Khan

37 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Irfan Khan United States	14	580	289	233	201	85	40	1.0k
Benjamin Neely United States	9	512 0.9×	257 0.9×	373 1.6×	198 1.0×	57 0.7×	20	1.0k
Željko Reiner Croatia	11	655 1.1×	192 0.7×	265 1.1×	347 1.7×	129 1.5×	28	990
Sondra M. DePalma United States	6	733 1.3×	359 1.2×	282 1.2×	267 1.3×	107 1.3×	13	986
David Colquhoun Australia	11	631 1.1×	129 0.4×	341 1.5×	341 1.7×	143 1.7×	16	1.1k
Fritha Morrison United States	8	391 0.7×	243 0.8×	140 0.6×	155 0.8×	52 0.6×	13	685
Michael J. Blaha United States	18	521 0.9×	93 0.3×	210 0.9×	349 1.7×	128 1.5×	44	881
Farhad Zangeneh United States	10	491 0.8×	122 0.4×	250 1.1×	452 2.2×	84 1.0×	17	994
Michael Pacanowski United States	21	349 0.6×	144 0.5×	290 1.2×	190 0.9×	75 0.9×	66	1.3k
Don Luo United States	11	500 0.9×	266 0.9×	172 0.7×	184 0.9×	77 0.9×	23	817
Binh An P. Phan United States	14	469 0.8×	98 0.3×	307 1.3×	165 0.8×	124 1.5×	24	938

Countries citing papers authored by Irfan Khan

Since Specialization

Citations

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

Fields of papers citing papers by Irfan Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irfan Khan. 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 Irfan Khan. The network helps show where Irfan Khan may publish in the future.

Co-authorship network of co-authors of Irfan Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Irfan Khan. A scholar is included among the top collaborators of Irfan Khan 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 Irfan Khan. Irfan Khan 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

Samnaliev, Mihail, et al.. (2025). Treatment adherence, persistence, and effectiveness of fixed dose combination versus free combination therapy of rosuvastatin–ezetimibe as a lipid-lowering therapy. Frontiers in Cardiovascular Medicine. 12. 1461416–1461416. 2 indexed citations

Amin, Imran, et al.. (2025). Optimizing economic and environmental objectives in sustainable machining processes. Cleaner Engineering and Technology. 28. 101067–101067.

Coca, António, et al.. (2024). Estimated impact of guidelines-based initiation of dual antihypertensive therapy on long-term cardiovascular outcomes in 1.1 million individuals. European Heart Journal - Cardiovascular Pharmacotherapy. 10(8). 697–707. 2 indexed citations

Khan, Irfan, et al.. (2024). Machine learning for high-performance solar radiation prediction. Energy Reports. 12. 4794–4804. 3 indexed citations

Khan, Irfan, et al.. (2023). Comparative Analysis for Machine-Learning-Based Optimal Control of Upper Extremity Rehabilitation Robots. SHILAP Revista de lepidopterología. 34–34. 1 indexed citations

Gal, Grégoire Le, Giancarlo Agnelli, Harald Darius, et al.. (2023). Event rates and risk factors for venous thromboembolism and major bleeding in a population of hospitalized adult patients with acute medical illness receiving enoxaparin thromboprophylaxis. European Journal of Internal Medicine. 121. 48–55. 3 indexed citations

Coca, António, Claudio Borghi, George S. Stergiou, et al.. (2023). LONG-TERM EVENT RATES, RISK FACTORS, AND TREATMENT PATTERN IN PATIENTS QUALIFYING FOR DUAL BLOOD PRESSURE-LOWERING THERAPY: AN OBSERVATIONAL STUDY IN 1.4 MILLION INDIVIDUALS. Journal of Hypertension. 41(Suppl 3). e29–e30. 1 indexed citations

Farnier, Michel, Raúl D. Santos, Juan Cosı́n-Sales, et al.. (2022). Projected impact of treatment intensification with statin, ezetimibe, and statin plus ezetimibe fixed-dose combination on MACE across six countries. European Journal of Preventive Cardiology. 29(17). 2264–2271. 11 indexed citations

Khan, Irfan, et al.. (2022). Systematic Machine Translation of Social Network Data Privacy Policies. Applied Sciences. 12(20). 10499–10499. 1 indexed citations

10.

Tao, Chenyang, Chunyuan Li, Irfan Khan, et al.. (2020). Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1666–1680. 8 indexed citations

11.

Khan, Irfan, et al.. (2020). A Lexicon Based Approach to Detect Extreme Sentiments. 1–6. 1 indexed citations

12.

Khan, Irfan, et al.. (2020). Language-Independent Approaches to Detect Extremism and Collective Radicalisation Online. 7–14. 1 indexed citations

13.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, et al.. (2019). Risk of Cardiovascular Events in Patients With Type 2 Diabetes and Metabolic Dyslipidemia Without Prevalent Atherosclerotic Cardiovascular Disease. The American Journal of Medicine. 133(2). 200–206. 5 indexed citations

14.

Cannon, Christopher P., Irfan Khan, Robert J. Sanchez, et al.. (2019). Simulation of impact on cardiovascular events due to lipid-lowering therapy intensification in a population with atherosclerotic cardiovascular disease. American Heart Journal. 216. 30–41. 14 indexed citations

15.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, et al.. (2018). Risk of Incident Atherosclerotic Cardiovascular DiseaseEvents by Achieved Atherogenic Lipid Levels Among62,428 Statin-Treated Individuals With Diabetes Mellitus. The American Journal of Cardiology. 122(5). 762–767. 5 indexed citations

16.

Steen, Dylan, Irfan Khan, David Ansell, Robert J. Sanchez, & Kausik K. Ray. (2017). Retrospective examination of lipid-lowering treatment patterns in a real-world high-risk cohort in the UK in 2014: comparison with the National Institute for Health and Care Excellence (NICE) 2014 lipid modification guidelines. BMJ Open. 7(2). e013255–e013255. 33 indexed citations

17.

Teramoto, Tamio, Kiyoko Uno, Izuru Miyoshi, et al.. (2016). Low-density lipoprotein cholesterol levels and lipid-modifying therapy prescription patterns in the real world: An analysis of more than 33,000 high cardiovascular risk patients in Japan. Atherosclerosis. 251. 248–254. 52 indexed citations

18.

Wong, Nathan D., et al.. (2016). Prevalence of the American College of Cardiology/American Heart Association statin eligibility groups, statin use, and low-density lipoprotein cholesterol control in US adults using the National Health and Nutrition Examination Survey 2011–2012. Journal of clinical lipidology. 10(5). 1109–1118. 67 indexed citations

19.

Grant, Laura, John A. Spertus, Irfan Khan, et al.. (2015). Development and Content Validity Testing of a Patient-Reported Treatment Acceptance Measure for Use in Patients Receiving Treatment via Subcutaneous Injection. Value in Health. 18(8). 1000–1007. 9 indexed citations

20.

Spiegel, David M., Irfan Khan, Mahesh Krishnan, & Tracy J. Mayne. (2009). Changes in Hemoglobin Level Distribution in US Dialysis Patients From June 2006 to November 2008. American Journal of Kidney Diseases. 55(1). 113–120. 14 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.

Explore authors with similar magnitude of impact