Farhad Kamali
- Pharmacology top 0.05%
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- General Health Professions top 2%
- Pharmacology top 2%
- Co-authors
- Hilary WynneDorothy Newbury‐BirchPeter AveryAnn K. DalyC. H. AshtonTayyaba KhanPatrick KestevenElizabeth Sconce
- Topics
- Pharmacogenetics and Drug Metabolism (40 papers)Atrial Fibrillation Management and Outcomes (25 papers)Hormonal Regulation and Hypertension (17 papers)
- Partner nations
- United KingdomSwedenNetherlands
In The Last Decade
Farhad Kamali
97 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Pharmacology 2.1k
- Cardiology and Cardiovascular Medicine 939
- Endocrinology, Diabetes and Metabolism 779
- General Health Professions 705
- Pharmacology 537
Countries citing papers authored by Farhad Kamali
This map shows the geographic impact of Farhad Kamali'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 Farhad Kamali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farhad Kamali more than expected).
Fields of papers citing papers by Farhad Kamali
This network shows the impact of papers produced by Farhad Kamali. 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 Farhad Kamali. The network helps show where Farhad Kamali may publish in the future.
Co-authorship network of co-authors of Farhad Kamali
This figure shows the co-authorship network connecting the top 25 collaborators of Farhad Kamali. A scholar is included among the top collaborators of Farhad Kamali 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 Farhad Kamali. Farhad Kamali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | Effect of Statins on Functional Expression of Membrane Transporters in L6 Rat Skeletal Muscle Cells | 1 |
| 4 | 9 | |
| 5 | 58 | |
| 6 | 7 | |
| 7 | 60 | |
| 8 | 55 | |
| 9 | 34 | |
| 10 | 41 | |
| 11 | 73 | |
| 12 | 80 | |
| 13 | 13 | |
| 14 | 147 | |
| 15 | 158 | |
| 16 | 44 | |
| 17 | 29 | |
| 18 | 12 | |
| 19 | Lack of interaction between zidovudine and 4-methyl-amino-antipyrine, the active metabolite of metamizole, in human liver in vitro. | 2 |
| 20 | 11 |
About Farhad Kamali
Farhad Kamali is a scholar working on Pharmacology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 99 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (40 papers), Atrial Fibrillation Management and Outcomes (25 papers) and Hormonal Regulation and Hypertension (17 papers). The work is most often cited by research in Pharmacology (2.1k citations), Internal Medicine (293 citations) and Biochemistry (437 citations). Farhad Kamali has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Hilary Wynne, Dorothy Newbury‐Birch, Peter Avery, Ann K. Daly, C. H. Ashton, Tayyaba Khan, Patrick Kesteven, Elizabeth Sconce, Peter J. Kelly and Peter Wood. Their work appears in journals such as New England Journal of Medicine, The Lancet and Blood.
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.