Esha Jain
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 4
- MicroRNA in disease regulation 2
-
- Musculoskeletal pain and rehabilitation 2
- Cannabis and Cannabinoid Research 1
- Co-authors
- Nikhil Wagle (5 shared papers)Nancy U. Lin (3 shared papers)Romualdo Barroso‐Sousa (2 shared papers)Jorge E. Buendia-Buendia (3 shared papers)Sara Tolaney (2 shared papers)Eric P. Winer (1 shared paper)Ofir Cohen (1 shared paper)Ruslan I. Sadreyev (4 shared papers)
- Journals
- Current Pain and Headache Reports (2 papers)Cell (2 papers)Current Problems in Cardiology (2 papers)Clinical Cancer Research (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Esha Jain
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 138
- Geriatrics and Gerontology 107
- Cancer Research 363
- Oncology 556
- Hematology 128
- Molecular Biology 709
Countries citing papers authored by Esha Jain
This map shows the geographic impact of Esha 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 Esha Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esha Jain more than expected).
Fields of papers citing papers by Esha Jain
This network shows the impact of papers produced by Esha 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 Esha Jain. The network helps show where Esha Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Esha 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 385 | |
| 2 | 2020 | 284 | |
| 3 | 2016 | 229 | |
| 4 | 2020 | 218 | |
| 5 | 2020 | 146 | |
| 6 | 2021 | 93 | |
| 7 | 2016 | 85 | |
| 8 | 2016 | 59 | |
| 9 | 2017 | 56 | |
| 10 | 2021 | 39 | |
| 11 | 2020 | 35 | |
| 12 | 2023 | 35 | |
| 13 | 2016 | 24 | |
| 14 | 2024 | 24 | |
| 15 | 2024 | 21 | |
| 16 | 2022 | 19 | |
| 17 | 2023 | 19 | |
| 18 | 2023 | 16 | |
| 19 | 2015 | 12 | |
| 20 | 2023 | 8 |
About Esha Jain
Esha Jain is a scholar working on Cancer Research, Pharmacology, Anesthesiology and Pain Medicine, Oncology and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pain Management and Treatment (2 papers), MicroRNA in disease regulation (2 papers), Cannabis and Cannabinoid Research (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Geriatrics and Gerontology (107 citations), Cancer Research (363 citations), Oncology (556 citations), Hematology (128 citations) and Molecular Biology (709 citations). Esha Jain has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Nikhil Wagle, Nancy U. Lin, Romualdo Barroso‐Sousa, Jorge E. Buendia-Buendia, Sara Tolaney, Eric P. Winer, Ofir Cohen, Ruslan I. Sadreyev, Simarjeet Singh and Nidhi Walia. Their work appears in journals such as Current Pain and Headache Reports, Cell, Current Problems in Cardiology, Clinical Cancer Research and Nature Communications.
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.