Sunila Pradeep
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Extracellular vesicles in disease 9
- Angiogenesis and VEGF in Cancer 7
- RNA modifications and cancer 6
- Circular RNAs in diseases 5
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- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 11
- Cancer, Lipids, and Metabolism 6
- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Anil K. Sood (36 shared papers)Gabriel Lopez‐Berestein (20 shared papers)Cristian Rodriguez‐Aguayo (16 shared papers)Cristina Ivan (11 shared papers)Lingegowda S. Mangala (13 shared papers)Pradeep Chaluvally–Raghavan (15 shared papers)Rajesha Rupaimoole (12 shared papers)Guillermo N. Armaiz-Peña (7 shared papers)
- Journals
- Cancer Research (17 papers)Molecular Cancer Therapeutics (6 papers)Oncotarget (5 papers)Oncogene (5 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Sunila Pradeep
57 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 622
- Reproductive Medicine 167
- Oncology 499
- Immunology and Allergy 106
- Immunology 361
Countries citing papers authored by Sunila Pradeep
This map shows the geographic impact of Sunila Pradeep'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 Sunila Pradeep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunila Pradeep more than expected).
Fields of papers citing papers by Sunila Pradeep
This network shows the impact of papers produced by Sunila Pradeep. 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 Sunila Pradeep. The network helps show where Sunila Pradeep may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunila Pradeep, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 165 | |
| 2 | 2013 | 156 | |
| 3 | 2014 | 97 | |
| 4 | 2015 | 94 | |
| 5 | 2017 | 91 | |
| 6 | 2016 | 78 | |
| 7 | 2016 | 75 | |
| 8 | 2014 | 73 | |
| 9 | 2014 | 71 | |
| 10 | 2017 | 63 | |
| 11 | 2015 | 63 | |
| 12 | 2016 | 61 | |
| 13 | 2016 | 58 | |
| 14 | 2022 | 55 | |
| 15 | 2020 | 50 | |
| 16 | 2016 | 46 | |
| 17 | 2016 | 42 | |
| 18 | 2017 | 40 | |
| 19 | 2017 | 39 | |
| 20 | 2024 | 38 |
About Sunila Pradeep
Sunila Pradeep is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (11 papers), Extracellular vesicles in disease (9 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer, Lipids, and Metabolism (6 papers), RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (622 citations), Reproductive Medicine (167 citations), Oncology (499 citations), Immunology and Allergy (106 citations) and Immunology (361 citations). Sunila Pradeep has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Anil K. Sood, Gabriel Lopez‐Berestein, Cristian Rodriguez‐Aguayo, Cristina Ivan, Lingegowda S. Mangala, Pradeep Chaluvally–Raghavan, Rajesha Rupaimoole, Guillermo N. Armaiz-Peña, Min Soon Cho and Sherry Y. Wu. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Oncotarget, Oncogene and Clinical Cancer Research.
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.