Irfan Khan

420 citations
49 papers · 270 indexed · h-index 9

Irfan Khan

35 papers receiving 262 citations

Peers

Irfan Khan
Comparison fields: 5 of 85
  • Virology 28
  • Hematology 44
  • Nephrology 23
  • Biological Psychiatry 6
  • Neurology 19
Replace Gowtham K. Annarapu with:
Gowtham K. Annarapu United States
Marc Langweiler United States
Kriti Verma United Kingdom
Amanpreet Singh Chawla United States
Fábio Arruda-Silva Italy
David Jetton United States
Ángela M. Álvarez Colombia
Karen Bobadilla Mexico
Tianci Wang China
Irfan Khan relative to Gowtham K. Annarapu United States Gowtham K. Annarapu's profile →
Citations per field
00.5×2.7×
Gowtham K. Annarapu · 1×
Citations per year

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

The 25 scholars most cited alongside Irfan Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irfan Khan Line = papers co-authored together Irfan Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20245
5 20242
6 20231
7 20231
8 20235
9
Abstract 12904: Assessing Low-Density Lipoprotein Cholesterol Risk in Secondary Prevention Patients Within The PINNACLE National Outpatient Registry
20198
10
Sodium valproate induced cataract: A case report
20180
11 20172
12 20170
13 201612
14 20153
15 20151
16 20140
17
Evaluation of left ventricular diastolic function by tissue doppler imaging after acute myocardial infarction
20120
18
Abstract 10485: Low Density Lipoprotein Cholesterol (LDL-C) Lowering in a Population Represented in a Meta-Analysis of Major Randomized Trials is Associated with a Positive Health-Economic Benefit
20110
19 20083
20 200731

About Irfan Khan

Irfan Khan is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Virology, having authored 49 papers that have together received 270 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (5 papers), Animal Diversity and Health Studies (3 papers), Reproductive Physiology in Livestock (3 papers), Organizational and Employee Performance (2 papers), Neonatal Health and Biochemistry (2 papers), Vitamin D Research Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Virology (28 citations), Hematology (44 citations) and Nephrology (23 citations). Irfan Khan has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Richard A. Watts, M. M. Hussein, William R. Tyor, William C. Griffin, Lawrence D. Middaugh, Rahat Ali Khan, David McGoldrick, Chris Cotter, Balendu C. Vasavada and Aung M. Tun. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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