Swati Varshney
Impact in
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- melanin and skin pigmentation
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- Pregnancy and preeclampsia studies
Papers in
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- Metabolomics and Mass Spectrometry Studies 5
- Fungal and yeast genetics research 2
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- Advanced Proteomics Techniques and Applications 8
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Shantanu Sengupta (15 shared papers)Trayambak Basak (6 shared papers)Niranjan Chakraborty (3 shared papers)Dipak Gayen (3 shared papers)Subhra Chakraborty (3 shared papers)Sourav Ghosh (2 shared papers)Shamima Akhtar (1 shared paper)Nicholas A. Williamson (8 shared papers)
In The Last Decade
Swati Varshney
30 papers receiving 318 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 46
- Obstetrics and Gynecology 16
- Immunology 43
- Molecular Biology 131
- 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 32 | |
| 2 | 2019 | 29 | |
| 3 | 2015 | 27 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2013 | 5 |
About Swati Varshney
Swati Varshney is a scholar working on Molecular Biology, Spectroscopy, Surgery, Pulmonary and Respiratory Medicine and Plant Science, having authored 34 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Folate and B Vitamins Research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Fungal and yeast genetics research (2 papers), Antifungal resistance and susceptibility (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Cell Biology (46 citations), Obstetrics and Gynecology (16 citations), Immunology (43 citations), Molecular Biology (131 citations) and Spectroscopy (30 citations). Swati Varshney has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Shantanu Sengupta, Trayambak Basak, Niranjan Chakraborty, Dipak Gayen, Subhra Chakraborty, Sourav Ghosh, Shamima Akhtar, Nicholas A. Williamson, Sandeep Seth and Sagartirtha Sarkar. Their work appears in journals such as Journal of Proteomics, Sleep Medicine, Scientific Reports, Cell Death Discovery and Physiology and Molecular Biology of Plants.
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.