Devanshi Jain
Impact in
- Aging top 5%
-
- RNA modifications and cancer
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
-
- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- Advanced biosensing and bioanalysis techniques 3
- Epigenetics and DNA Methylation 2
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Julia Promisel Cooper (4 shared papers)Scott Keeney (6 shared papers)Cem Meydan (2 shared papers)Nathalie Lailler (3 shared papers)Kathryn V. Anderson (2 shared papers)Christopher E. Mason (2 shared papers)M Rhyan Puno (2 shared papers)Christopher D. Lima (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Genes & Development (2 papers)eLife (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Devanshi Jain
13 papers receiving 613 citations
Peers
Comparison fields: 5 of 50
- Aging 53
- Molecular Biology 549
- Physiology 161
- Cancer Research 87
- Plant Science 131
Countries citing papers authored by Devanshi Jain
This map shows the geographic impact of Devanshi Jain'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 Devanshi Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devanshi Jain more than expected).
Fields of papers citing papers by Devanshi Jain
This network shows the impact of papers produced by Devanshi Jain. 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 Devanshi Jain. The network helps show where Devanshi Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Devanshi Jain, 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 | 2010 | 162 | |
| 2 | 2018 | 125 | |
| 3 | 2010 | 77 | |
| 4 | 2017 | 63 | |
| 5 | 2009 | 51 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 32 | |
| 8 | 2018 | 28 | |
| 9 | 2014 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2025 | 2 |
About Devanshi Jain
Devanshi Jain is a scholar working on Molecular Biology, Plant Science, Physiology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 13 papers that have together received 616 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Epigenetics and DNA Methylation (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (53 citations), Molecular Biology (549 citations), Physiology (161 citations), Cancer Research (87 citations) and Plant Science (131 citations). Devanshi Jain has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Julia Promisel Cooper, Scott Keeney, Cem Meydan, Nathalie Lailler, Kathryn V. Anderson, Christopher E. Mason, M Rhyan Puno, Christopher D. Lima, Kyle M. Miller and Toru Nakamura. Their work appears in journals such as PLoS Genetics, Genes & Development, eLife, Nature Communications and Cell Reports.
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.