Arushi Varshney
Impact in
Papers in
- Genetics 13
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 5
- Diabetes and associated disorders 3
- Genetics and Physical Performance 2
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- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 5
- Bioinformatics and Genomic Networks 3
- Co-authors
- Stephen C.J. Parker (7 shared papers)Francisca M. Acosta (1 shared paper)Cory J. Berkland (1 shared paper)Saman Modaresi (1 shared paper)Settimio Pacelli (1 shared paper)Jonathan Whitlow (1 shared paper)Aparna R. Chakravarti (1 shared paper)A Grieco Paul (1 shared paper)
- Journals
- Diabetes (4 papers)Cell Reports (2 papers)Nature Communications (2 papers)Nature Genetics (2 papers)Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Arushi Varshney
22 papers receiving 1.2k citations
Arushi Varshney's Hit Papers
Peers
Comparison fields: 5 of 101
- Genetics 433
- Surgery 291
- Molecular Biology 469
- Endocrinology, Diabetes and Metabolism 92
- Cancer Research 65
Countries citing papers authored by Arushi Varshney
This map shows the geographic impact of Arushi 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 Arushi Varshney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arushi Varshney more than expected).
Fields of papers citing papers by Arushi Varshney
This network shows the impact of papers produced by Arushi 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 Arushi Varshney. The network helps show where Arushi Varshney may publish in the future.
Co-authors
The 25 scholars most cited alongside Arushi 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The trans-ancestral genomic architecture of glycemic traits Hit paper breakdown → | 2021 | 490 |
| 2 | 2017 | 148 | |
| 3 | 2017 | 136 | |
| 4 | 2020 | 94 | |
| 5 | 2015 | 59 | |
| 6 | 2019 | 54 | |
| 7 | 2017 | 46 | |
| 8 | 2023 | 41 | |
| 9 | 2018 | 37 | |
| 10 | 2021 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 19 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 3 |
About Arushi Varshney
Arushi Varshney is a scholar working on Genetics, Molecular Biology, Surgery, Software and Sensory Systems, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Pancreatic function and diabetes (8 papers), Genetic Associations and Epidemiology (6 papers), Genomics and Chromatin Dynamics (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Diabetes and associated disorders (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genetics and Physical Performance (2 papers). The work is most often cited by research in Genetics (433 citations), Surgery (291 citations), Molecular Biology (469 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Cancer Research (65 citations). Arushi Varshney has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Stephen C.J. Parker, Francisca M. Acosta, Cory J. Berkland, Saman Modaresi, Settimio Pacelli, Jonathan Whitlow, Aparna R. Chakravarti, A Grieco Paul, Sayantani Basu and Donna M. Martin. Their work appears in journals such as Diabetes, Cell Reports, Nature Communications, Nature Genetics and Genetics.
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.