Mukesh Varshney
Impact in
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- Stress Responses and Cortisol
Papers in
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- Pluripotent Stem Cells Research 4
- Genomics, phytochemicals, and oxidative stress 2
- Genetics 6
- Estrogen and related hormone effects 5
- Co-authors
- Ivan Nalvarte (17 shared papers)José Inzunza (14 shared papers)Joëlle Rüegg (4 shared papers)Bengt Mannervik (3 shared papers)Jan-Ακε Gustafsson (7 shared papers)Juan Segura‐Aguilar (4 shared papers)Patricia Muñoz (4 shared papers)Jonathan Arias (2 shared papers)
- Journals
- Vitamins and hormones (1 paper)Biochemical and Biophysical Research Communications (1 paper)Molecular Pharmacology (1 paper)Materials Today Advances (1 paper)Reproduction (1 paper)
- Partner nations
- SwedenUnited StatesIndia
In The Last Decade
Mukesh Varshney
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 69
- Behavioral Neuroscience 22
- Developmental Neuroscience 20
- Neurology 22
- Reproductive Medicine 22
- Immunology 50
Countries citing papers authored by Mukesh Varshney
This map shows the geographic impact of Mukesh 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 Mukesh Varshney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Varshney more than expected).
Fields of papers citing papers by Mukesh Varshney
This network shows the impact of papers produced by Mukesh 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 Mukesh Varshney. The network helps show where Mukesh Varshney may publish in the future.
Co-authors
The 25 scholars most cited alongside Mukesh 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2017 | 39 | |
| 3 | 2017 | 33 | |
| 4 | 2022 | 30 | |
| 5 | 2016 | 24 | |
| 6 | 2022 | 22 | |
| 7 | 2021 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2015 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2015 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2010 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Mukesh Varshney
Mukesh Varshney is a scholar working on Molecular Biology, Genetics, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 25 papers that have together received 307 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Pluripotent Stem Cells Research (4 papers), Reproductive System and Pregnancy (4 papers), Endometriosis Research and Treatment (3 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (22 citations), Developmental Neuroscience (20 citations), Neurology (22 citations), Reproductive Medicine (22 citations) and Immunology (50 citations). Mukesh Varshney has collaborated with scholars based in Sweden, United States and India. Frequent co-authors include Ivan Nalvarte, José Inzunza, Joëlle Rüegg, Bengt Mannervik, Jan-Ακε Gustafsson, Juan Segura‐Aguilar, Patricia Muñoz, Jonathan Arias, Jingwei Yu and Per Antonson. Their work appears in journals such as Vitamins and hormones, Biochemical and Biophysical Research Communications, Molecular Pharmacology, Materials Today Advances and Reproduction.
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.