Meena Sukhwani
- Reproductive Medicine top 0.2%
- Public Health, Environmental and Occupational Health top 0.5%
- Molecular Biology top 5%
- Genetics top 2%
- Surgery
- Co-authors
- Kyle E. OrwigRobin M. HobbsPier Paolo PandolfiBrian P. HermannGiorgio CattorettiKatia ManovaDebra J. WolgemuthMaria Barna
- Topics
- Sperm and Testicular Function (27 papers)Reproductive Biology and Fertility (26 papers)Renal and related cancers (13 papers)
- Partner nations
- United StatesSwedenOman
In The Last Decade
Meena Sukhwani
42 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Reproductive Medicine 1.9k
- Public Health, Environmental and Occupational Health 1.7k
- Molecular Biology 1.5k
- Genetics 950
- Surgery 256
Countries citing papers authored by Meena Sukhwani
This map shows the geographic impact of Meena Sukhwani'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 Meena Sukhwani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Sukhwani more than expected).
Fields of papers citing papers by Meena Sukhwani
This network shows the impact of papers produced by Meena Sukhwani. 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 Meena Sukhwani. The network helps show where Meena Sukhwani may publish in the future.
Co-authorship network of co-authors of Meena Sukhwani
This figure shows the co-authorship network connecting the top 25 collaborators of Meena Sukhwani. A scholar is included among the top collaborators of Meena Sukhwani 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 Meena Sukhwani. Meena Sukhwani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | Single-cell analysis of human testis aging and correlation with elevated body mass indexbreakdown → | 105 |
| 4 | 36 | |
| 5 | 162 | |
| 6 | 31 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 42 | |
| 10 | 13 | |
| 11 | 55 | |
| 12 | 20 | |
| 13 | 45 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 47 | |
| 17 | 52 | |
| 18 | 7 | |
| 19 | 120 | |
| 20 | 169 |
About Meena Sukhwani
Meena Sukhwani is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sperm and Testicular Function (27 papers), Reproductive Biology and Fertility (26 papers) and Renal and related cancers (13 papers). The work is most often cited by research in Reproductive Medicine (1.9k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Genetics (950 citations). Meena Sukhwani has collaborated with scholars based in United States, Sweden and Oman. Frequent co-authors include Kyle E. Orwig, Robin M. Hobbs, Pier Paolo Pandolfi, Brian P. Hermann, Giorgio Cattoretti, Katia Manova, Debra J. Wolgemuth, Maria Barna, José A. Costoya and Tianjiao Chu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.