Mahesh Parmar
- Pulmonary and Respiratory Medicine top 0.05%
- Oncology top 0.1%
- Surgery top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Statistics and Probability top 0.05%
- Co-authors
- Lesley StewartValter TorriPatrick RoystonRichard StephensMatthew R. SydesLaurence S. FreedmanDavid J. SpiegelhalterRichard Kaplan
- Topics
- Statistical Methods in Clinical Trials (82 papers)Prostate Cancer Treatment and Research (59 papers)Ovarian cancer diagnosis and treatment (40 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Mahesh Parmar
288 papers receiving 26.3k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Pulmonary and Respiratory Medicine 11.0k
- Oncology 8.3k
- Surgery 6.7k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Statistics and Probability 2.6k
Countries citing papers authored by Mahesh Parmar
This map shows the geographic impact of Mahesh Parmar'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 Mahesh Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Parmar more than expected).
Fields of papers citing papers by Mahesh Parmar
This network shows the impact of papers produced by Mahesh Parmar. 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 Mahesh Parmar. The network helps show where Mahesh Parmar may publish in the future.
Co-authorship network of co-authors of Mahesh Parmar
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Parmar. A scholar is included among the top collaborators of Mahesh Parmar 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 Mahesh Parmar. Mahesh Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 19 | |
| 12 | 18 | |
| 13 | 30 | |
| 14 | 39 | |
| 15 | 52 | |
| 16 | 4 | |
| 17 | 72 | |
| 18 | 46 | |
| 19 | 205 | |
| 20 | Neoadjuvant chemotherapy for locally advanced cervical cancer: a systematic review and meta-analysis of individual patient data from 21 randomised trials | 6 |
About Mahesh Parmar
Mahesh Parmar is a scholar working on Statistics and Probability, Reproductive Medicine and Statistics, Probability and Uncertainty, having authored 299 papers that have together received 27.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (82 papers), Prostate Cancer Treatment and Research (59 papers) and Ovarian cancer diagnosis and treatment (40 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (11.0k citations), Statistics and Probability (2.6k citations) and Oncology (8.3k citations). Mahesh Parmar has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Lesley Stewart, Valter Torri, Patrick Royston, Richard Stephens, Matthew R. Sydes, Laurence S. Freedman, David J. Spiegelhalter, Richard Kaplan, Stanley Dische and A Harvey. Their work appears in journals such as The Lancet, Nature Medicine and Journal of Clinical Oncology.
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.