Mukesh Varshney
Impact in
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- Stress Responses and Cortisol
Papers in
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- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 2
- Genetics 10
- Estrogen and related hormone effects 8
- Co-authors
- Ivan Nalvarte (17 shared papers)José Inzunza (14 shared papers)Joëlle Rüegg (4 shared papers)Jan-Ακε Gustafsson (7 shared papers)Patricia Muñoz (4 shared papers)Juan Segura‐Aguilar (4 shared papers)Bengt Mannervik (3 shared papers)Jingwei Yu (1 shared paper)
- Journals
- Alzheimer s & Dementia (1 paper)Stem Cells Translational Medicine (1 paper)Stem Cell Research (1 paper)International Journal of Molecular Sciences (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- SwedenUnited StatesChile
In The Last Decade
Mukesh Varshney
23 papers receiving 271 citations
Peers
Comparison fields: 5 of 71
- Developmental Neuroscience 25
- Behavioral Neuroscience 21
- Reproductive Medicine 24
- Physiology 11
- 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2017 | 37 | |
| 3 | 2017 | 30 | |
| 4 | 2022 | 25 | |
| 5 | 2016 | 24 | |
| 6 | 2022 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2024 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2010 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Mukesh Varshney
Mukesh Varshney is a scholar working on Molecular Biology, Genetics, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 24 papers that have together received 275 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Reproductive System and Pregnancy (5 papers), Pluripotent Stem Cells Research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Endometriosis Research and Treatment (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (25 citations), Behavioral Neuroscience (21 citations), Reproductive Medicine (24 citations), Physiology (11 citations) and Immunology (50 citations). Mukesh Varshney has collaborated with scholars based in Sweden, United States and Chile. Frequent co-authors include Ivan Nalvarte, José Inzunza, Joëlle Rüegg, Jan-Ακε Gustafsson, Patricia Muñoz, Juan Segura‐Aguilar, Bengt Mannervik, Jingwei Yu, Jonathan Arias and Per Antonson. Their work appears in journals such as Alzheimer s & Dementia, Stem Cells Translational Medicine, Stem Cell Research, International Journal of Molecular Sciences and Molecular Pharmacology.
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.