Preethi Ravindranathan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
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- Ubiquitin and proteasome pathways 2
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- Prostate Cancer Treatment and Research 6
- Co-authors
- Ajay Goel (5 shared papers)Ganesh V. Raj (10 shared papers)Shusuke Toden (4 shared papers)Kazuhiro Yoshida (1 shared paper)Haiyong Han (1 shared paper)Jinghua Gu (3 shared papers)Jacob Cardenas (3 shared papers)Jer‐Tsong Hsieh (3 shared papers)
- Journals
- Carcinogenesis (3 papers)Molecular Endocrinology (2 papers)Scientific Reports (2 papers)Molecular Oncology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Preethi Ravindranathan
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 222
- Molecular Medicine 61
- Oncology 238
- Reproductive Medicine 63
- Pulmonary and Respiratory Medicine 229
Countries citing papers authored by Preethi Ravindranathan
This map shows the geographic impact of Preethi Ravindranathan'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 Preethi Ravindranathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Ravindranathan more than expected).
Fields of papers citing papers by Preethi Ravindranathan
This network shows the impact of papers produced by Preethi Ravindranathan. 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 Preethi Ravindranathan. The network helps show where Preethi Ravindranathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Preethi Ravindranathan, 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 | 173 | |
| 2 | 2013 | 130 | |
| 3 | 2014 | 107 | |
| 4 | 2014 | 104 | |
| 5 | 2018 | 88 | |
| 6 | 2015 | 82 | |
| 7 | 2018 | 66 | |
| 8 | 2018 | 62 | |
| 9 | 2015 | 58 | |
| 10 | 2018 | 47 | |
| 11 | 2012 | 38 | |
| 12 | 2018 | 31 | |
| 13 | 2015 | 21 | |
| 14 | 2014 | 19 | |
| 15 | 2023 | 10 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 2 | |
| 18 | 2015 | 0 |
About Preethi Ravindranathan
Preethi Ravindranathan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Estrogen and related hormone effects (5 papers), Hormonal and reproductive studies (3 papers), Cancer, Lipids, and Metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Cells and Metastasis (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (222 citations), Molecular Medicine (61 citations), Oncology (238 citations), Reproductive Medicine (63 citations) and Pulmonary and Respiratory Medicine (229 citations). Preethi Ravindranathan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ajay Goel, Ganesh V. Raj, Shusuke Toden, Kazuhiro Yoshida, Haiyong Han, Jinghua Gu, Jacob Cardenas, Jer‐Tsong Hsieh, Jung‐Mo Ahn and Tae-Kyung Lee. Their work appears in journals such as Carcinogenesis, Molecular Endocrinology, Scientific Reports, Molecular Oncology 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.