Apurva A. Desai
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 0.5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Walter M. StadlerMartin GoreTim EisenBrian SchwartzRonit SimantovRonald M. BukowskiFrédéric RollandBernard Escudier
- Topics
- Cancer therapeutics and mechanisms (10 papers)Renal cell carcinoma treatment (9 papers)Pharmacogenetics and Drug Metabolism (7 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Apurva A. Desai
36 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Pulmonary and Respiratory Medicine 4.0k
- Molecular Biology 3.9k
- Oncology 2.5k
- Cancer Research 2.2k
- Pathology and Forensic Medicine 505
Countries citing papers authored by Apurva A. Desai
This map shows the geographic impact of Apurva A. Desai'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 Apurva A. Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurva A. Desai more than expected).
Fields of papers citing papers by Apurva A. Desai
This network shows the impact of papers produced by Apurva A. Desai. 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 Apurva A. Desai. The network helps show where Apurva A. Desai may publish in the future.
Co-authorship network of co-authors of Apurva A. Desai
This figure shows the co-authorship network connecting the top 25 collaborators of Apurva A. Desai. A scholar is included among the top collaborators of Apurva A. Desai 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 Apurva A. Desai. Apurva A. Desai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 20 | |
| 3 | Sorafenib for Treatment of Renal Cell Carcinoma: Final Efficacy and Safety Results of the Phase III Treatment Approaches in Renal Cancer Global Evaluation Trialbreakdown → | 864 |
| 4 | 54 | |
| 5 | 186 | |
| 6 | 18 | |
| 7 | Sorafenib in Advanced Clear-Cell Renal-Cell Carcinomabreakdown → | 3804 |
| 8 | 22 | |
| 9 | Phase II Placebo-Controlled Randomized Discontinuation Trial of Sorafenib in Patients With Metastatic Renal Cell Carcinomabreakdown → | 794 |
| 10 | 54 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 90 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 140 | |
| 17 | 6 | |
| 18 | 41 | |
| 19 | 30 | |
| 20 | 87 |
About Apurva A. Desai
Apurva A. Desai is a scholar working on Pharmacology, Oncology and Internal Medicine, having authored 36 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (10 papers), Renal cell carcinoma treatment (9 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Cancer Research (2.2k citations), Pulmonary and Respiratory Medicine (4.0k citations) and Oncology (2.5k citations). Apurva A. Desai has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Walter M. Stadler, Martin Gore, Tim Eisen, Brian Schwartz, Ronit Simantov, Ronald M. Bukowski, Frédéric Rolland, Bernard Escudier, Cezary Szczylik and Minghua Shan. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer.
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.