Kiran Patel
- Molecular Biology top 10%
- Oncology top 5%
- Computational Theory and Mathematics top 5%
- Pathology and Forensic Medicine top 10%
- Immunology
- Co-authors
- René GonzálezJ. Michael WhiteSanjiv S. AgarwalaChenghua XiaJohn M. KirkwoodJeffrey A. SosmanKarl D. LewisAdil Daud
- Topics
- Melanoma and MAPK Pathways (12 papers)Synthesis and biological activity (6 papers)HIV/AIDS drug development and treatment (5 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Kiran Patel
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 920
- Oncology 814
- Computational Theory and Mathematics 182
- Pathology and Forensic Medicine 160
- Immunology 158
Countries citing papers authored by Kiran Patel
This map shows the geographic impact of Kiran Patel'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 Kiran Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Patel more than expected).
Fields of papers citing papers by Kiran Patel
This network shows the impact of papers produced by Kiran Patel. 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 Kiran Patel. The network helps show where Kiran Patel may publish in the future.
Co-authorship network of co-authors of Kiran Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Patel. A scholar is included among the top collaborators of Kiran Patel 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 Kiran Patel. Kiran Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Dupilumab in patients with chronic spontaneous urticaria (LIBERTY-CSU CUPID): Two randomized, double-blind, placebo-controlled, phase 3 trialsbreakdown → | 65 |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 35 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 6 | |
| 16 | 21 | |
| 17 | 52 | |
| 18 | 356 | |
| 19 | 8 | |
| 20 | 26 |
About Kiran Patel
Kiran Patel is a scholar working on Virology, Pharmaceutical Science and Oncology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Synthesis and biological activity (6 papers) and HIV/AIDS drug development and treatment (5 papers). The work is most often cited by research in Oncology (814 citations), Molecular Biology (920 citations) and Computational Theory and Mathematics (182 citations). Kiran Patel has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include René González, J. Michael White, Sanjiv S. Agarwala, Chenghua Xia, John M. Kirkwood, Jeffrey A. Sosman, Karl D. Lewis, Adil Daud, Claus Garbe and Jeffrey R. Infante. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.