Arushi Varshney
Impact in
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 5
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- Protein Degradation and Inhibitors 1
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Stephen C.J. Parker (8 shared papers)Jonathan Whitlow (1 shared paper)Cory Berkland (1 shared paper)Settimio Pacelli (1 shared paper)Arghya Paul (1 shared paper)Francisca M. Acosta (1 shared paper)Saman Modaresi (1 shared paper)Aparna R. Chakravarti (1 shared paper)
- Journals
- Diabetes (2 papers)Genome Research (2 papers)Nature Communications (1 paper)Advanced Drug Delivery Reviews (1 paper)Genetics (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Arushi Varshney
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 63
- Biomaterials 47
- Genetics 27
- Urology 13
- Molecular Biology 157
- Biomedical Engineering 75
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 135 | |
| 2 | 2015 | 53 | |
| 3 | 2021 | 36 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 15 | |
| 6 | 2018 | 8 | |
| 7 | 2021 | 4 | |
| 8 | 2015 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2018 | 1 |
About Arushi Varshney
Arushi Varshney is a scholar working on Molecular Biology, Genetics, Surgery, Information Systems and Biomaterials, having authored 10 papers that have together received 290 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Gene expression and cancer classification (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Biomaterials (47 citations), Genetics (27 citations), Urology (13 citations), Molecular Biology (157 citations) and Biomedical Engineering (75 citations). Arushi Varshney has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Stephen C.J. Parker, Jonathan Whitlow, Cory Berkland, Settimio Pacelli, Arghya Paul, Francisca M. Acosta, Saman Modaresi, Aparna R. Chakravarti, Sayantani Basu and Donna M. Martin. Their work appears in journals such as Diabetes, Genome Research, Nature Communications, Advanced Drug Delivery Reviews 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.