Khalid Farooqui
Impact in
-
- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Diabetes Management and Research 3
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Ambrish Mithal (9 shared papers)Mohammad Shafi Kuchay (6 shared papers)Ganesh Jevalikar (8 shared papers)Sunil Kumar Mishra (3 shared papers)Jasjeet Singh Wasir (3 shared papers)Parjeet Kaur (3 shared papers)Narendra S. Choudhary (2 shared papers)Sonal Krishan (2 shared papers)
In The Last Decade
Khalid Farooqui
27 papers receiving 923 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 572
- Epidemiology 507
- Hepatology 90
- Surgery 280
- Infectious Diseases 113
Countries citing papers authored by Khalid Farooqui
This map shows the geographic impact of Khalid Farooqui'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 Khalid Farooqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Farooqui more than expected).
Fields of papers citing papers by Khalid Farooqui
This network shows the impact of papers produced by Khalid Farooqui. 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 Khalid Farooqui. The network helps show where Khalid Farooqui may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Farooqui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of Empagliflozin on Liver Fat in Patients With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease: A Randomized Controlled Trial (E-LIFT Trial) Hit paper breakdown → | 2018 | 456 |
| 2 | 2020 | 169 | |
| 3 | 2021 | 62 | |
| 4 | 2020 | 50 | |
| 5 | 2004 | 48 | |
| 6 | 2017 | 42 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 19 | |
| 9 | 2023 | 11 | |
| 10 | 2018 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2008 | 3 | |
| 20 | 2017 | 3 |
About Khalid Farooqui
Khalid Farooqui is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery, Genetics and Pathology and Forensic Medicine, having authored 29 papers that have together received 952 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Vitamin D Research Studies (5 papers), COVID-19 Clinical Research Studies (4 papers), Bone health and treatments (4 papers), Pancreatic function and diabetes (3 papers), Bone health and osteoporosis research (3 papers), Diabetes Management and Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (572 citations), Epidemiology (507 citations), Hepatology (90 citations), Surgery (280 citations) and Infectious Diseases (113 citations). Khalid Farooqui has collaborated with scholars based in India, Qatar and Pakistan. Frequent co-authors include Ambrish Mithal, Mohammad Shafi Kuchay, Ganesh Jevalikar, Sunil Kumar Mishra, Jasjeet Singh Wasir, Parjeet Kaur, Narendra S. Choudhary, Sonal Krishan, Manish Kumar Singh and Beena Bansal. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Archives of Osteoporosis, Scientific Reports, Diabetic Medicine and Disease Markers.
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.