Swati Varshney
Impact in
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- melanin and skin pigmentation
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Fungal and yeast genetics research 2
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Shantanu Sengupta (16 shared papers)Trayambak Basak (6 shared papers)Niranjan Chakraborty (3 shared papers)Subhra Chakraborty (3 shared papers)Dipak Gayen (3 shared papers)Nicholas A. Williamson (8 shared papers)Shamima Akhtar (1 shared paper)Sourav Ghosh (2 shared papers)
In The Last Decade
Swati Varshney
32 papers receiving 339 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 42
- Obstetrics and Gynecology 14
- Immunology 37
- Molecular Biology 121
- Spectroscopy 30
Countries citing papers authored by Swati Varshney
This map shows the geographic impact of Swati Varshney'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 Swati Varshney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Varshney more than expected).
Fields of papers citing papers by Swati Varshney
This network shows the impact of papers produced by Swati Varshney. 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 Swati Varshney. The network helps show where Swati Varshney may publish in the future.
Co-authors
The 25 scholars most cited alongside Swati Varshney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 33 | |
| 2 | 2019 | 33 | |
| 3 | 2015 | 27 | |
| 4 | 2020 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2019 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2002 | 5 |
About Swati Varshney
Swati Varshney is a scholar working on Molecular Biology, Spectroscopy, Plant Science, Surgery and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Folate and B Vitamins Research (3 papers), Pregnancy and preeclampsia studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Reproductive System and Pregnancy (2 papers), Air Quality Monitoring and Forecasting (2 papers), Metabolism and Genetic Disorders (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cell Biology (42 citations), Obstetrics and Gynecology (14 citations), Immunology (37 citations), Molecular Biology (121 citations) and Spectroscopy (30 citations). Swati Varshney has collaborated with scholars based in India, Australia and Italy. Frequent co-authors include Shantanu Sengupta, Trayambak Basak, Niranjan Chakraborty, Subhra Chakraborty, Dipak Gayen, Nicholas A. Williamson, Shamima Akhtar, Sourav Ghosh, Sandeep Seth and Pradeep Kumar Verma. Their work appears in journals such as Journal of Proteomics, Cell Death Discovery, Bioinformatics, Physiology and Molecular Biology of Plants and Sleep Medicine.
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.