Atul Sethi
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Oncology 7
- Cancer Cells and Metastasis 2
- Cancer-related Molecular Pathways 2
-
- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Mohamed Bentires‐Alj (5 shared papers)Marie‐May Coissieux (4 shared papers)Ruedi Aebersold (3 shared papers)Joana Pinto Couto (3 shared papers)Milan M. S. Obradović (3 shared papers)Baptiste Hamelin (4 shared papers)Alexander Schmidt (2 shared papers)Simone Münst (2 shared papers)
- Journals
- Journal of Mammary Gland Biology and Neoplasia (3 papers)Science Translational Medicine (1 paper)The EMBO Journal (1 paper)Molecular & Cellular Proteomics (1 paper)Cell Reports (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Atul Sethi
11 papers receiving 861 citations
Atul Sethi's Hit Papers
Peers
Comparison fields: 5 of 102
- Spectroscopy 281
- Behavioral Neuroscience 29
- Cancer Research 100
- Oncology 165
- Molecular Biology 430
Countries citing papers authored by Atul Sethi
This map shows the geographic impact of Atul Sethi'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 Atul Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Sethi more than expected).
Fields of papers citing papers by Atul Sethi
This network shows the impact of papers produced by Atul Sethi. 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 Atul Sethi. The network helps show where Atul Sethi may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul Sethi, 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 | Glucocorticoids promote breast cancer metastasis Hit paper breakdown → | 2019 | 350 |
| 2 | 2012 | 225 | |
| 3 | 2014 | 170 | |
| 4 | 2021 | 37 | |
| 5 | 2018 | 35 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2019 | 4 | |
| 12 | 2021 | 0 |
About Atul Sethi
Atul Sethi is a scholar working on Oncology, Spectroscopy, Molecular Biology, Information Systems and Political Science and International Relations, having authored 12 papers that have together received 877 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Cancer Cells and Metastasis (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers), Information and Cyber Security (2 papers), Cybersecurity and Cyber Warfare Studies (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cybercrime and Law Enforcement Studies (2 papers). The work is most often cited by research in Spectroscopy (281 citations), Behavioral Neuroscience (29 citations), Cancer Research (100 citations), Oncology (165 citations) and Molecular Biology (430 citations). Atul Sethi has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Mohamed Bentires‐Alj, Marie‐May Coissieux, Ruedi Aebersold, Joana Pinto Couto, Milan M. S. Obradović, Baptiste Hamelin, Alexander Schmidt, Simone Münst, Hubertus Kohler and Nenad Manevski. Their work appears in journals such as Journal of Mammary Gland Biology and Neoplasia, Science Translational Medicine, The EMBO Journal, Molecular & Cellular Proteomics 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.