Ekta Agarwal
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
-
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
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- Mitochondrial Function and Pathology 8
- ATP Synthase and ATPases Research 4
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
- Cancer-related gene regulation 2
- Oncology 4
- Co-authors
- Michael G. Brattain (10 shared papers)Sanjib Chowdhury (10 shared papers)Dario C. Altieri (13 shared papers)Jae Ho Seo (8 shared papers)Premila D. Leiphrakpam (5 shared papers)Jagadish C. Ghosh (10 shared papers)David W. Speicher (8 shared papers)Andrew V. Kossenkov (9 shared papers)
- Journals
- Cancer Research (2 papers)Oncogene (2 papers)Journal of Biological Chemistry (2 papers)Oncotarget (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Ekta Agarwal
21 papers receiving 742 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 222
- Molecular Biology 503
- Immunology and Allergy 34
- Oncology 116
- Cell Biology 60
Countries citing papers authored by Ekta Agarwal
This map shows the geographic impact of Ekta Agarwal'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 Ekta Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekta Agarwal more than expected).
Fields of papers citing papers by Ekta Agarwal
This network shows the impact of papers produced by Ekta Agarwal. 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 Ekta Agarwal. The network helps show where Ekta Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ekta Agarwal, 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 | 2013 | 146 | |
| 2 | 2014 | 64 | |
| 3 | 2020 | 59 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2018 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2014 | 37 | |
| 9 | 2017 | 33 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2013 | 27 | |
| 14 | 2017 | 27 | |
| 15 | 2019 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2013 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Ekta Agarwal
Ekta Agarwal is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 750 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Advanced Breast Cancer Therapies (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (222 citations), Molecular Biology (503 citations), Immunology and Allergy (34 citations), Oncology (116 citations) and Cell Biology (60 citations). Ekta Agarwal has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Michael G. Brattain, Sanjib Chowdhury, Dario C. Altieri, Jae Ho Seo, Premila D. Leiphrakpam, Jagadish C. Ghosh, David W. Speicher, Andrew V. Kossenkov, Hsin‐Yao Tang and Lucia R. Languino. Their work appears in journals such as Cancer Research, Oncogene, Journal of Biological Chemistry, Oncotarget and Journal of Clinical Investigation.
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.