Nirmala Sharma
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 5%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- Berton ZbarMichael L. NickersonMichelle B. WarrenW. Marston LinehanLaura S. SchmidtJorge R. ToroMaria L. TurnerMaria J. Merino
- Topics
- Renal and related cancers (13 papers)Renal cell carcinoma treatment (10 papers)Genetic and Kidney Cyst Diseases (5 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Nirmala Sharma
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 1.4k
- Genetics 450
- Physiology 415
- Cancer Research 406
Countries citing papers authored by Nirmala Sharma
This map shows the geographic impact of Nirmala Sharma'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 Nirmala Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirmala Sharma more than expected).
Fields of papers citing papers by Nirmala Sharma
This network shows the impact of papers produced by Nirmala Sharma. 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 Nirmala Sharma. The network helps show where Nirmala Sharma may publish in the future.
Co-authorship network of co-authors of Nirmala Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Nirmala Sharma. A scholar is included among the top collaborators of Nirmala Sharma 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 Nirmala Sharma. Nirmala Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 64 | |
| 4 | 28 | |
| 5 | 37 | |
| 6 | 87 | |
| 7 | 24 | |
| 8 | 33 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 361 | |
| 13 | 274 | |
| 14 | 407 | |
| 15 | 157 | |
| 16 | Hepatic vascular tumors, angiectasis in multiple organs, and impaired spermatogenesis in mice with conditional inactivation of the VHL gene. | 104 |
| 17 | Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt-Hogg-Dubé syndromebreakdown → | 638 |
About Nirmala Sharma
Nirmala Sharma is a scholar working on Urology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal and related cancers (13 papers), Renal cell carcinoma treatment (10 papers) and Genetic and Kidney Cyst Diseases (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Cancer Research (406 citations) and Molecular Biology (1.5k citations). Nirmala Sharma has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Berton Zbar, Michael L. Nickerson, Michelle B. Warren, W. Marston Linehan, Laura S. Schmidt, Jorge R. Toro, Maria L. Turner, Maria J. Merino, G.M. Glenn and McClellan M. Walther. Their work appears in journals such as Proceedings of the National Academy of Sciences, Development and Cancer Cell.
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.