Subhrajit Saha
Impact in
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- Effects of Radiation Exposure
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 4
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- Effects of Radiation Exposure 10
- Co-authors
- Payel Bhanja (17 shared papers)Chandan Guha (10 shared papers)Laibin Liu (5 shared papers)Alan Alfieri (4 shared papers)Rafi Kabarriti (3 shared papers)Elena Peeva (4 shared papers)Juana Gonzalez (3 shared papers)Wolfgang A. Tomé (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (5 papers)PLoS ONE (3 papers)Cells (2 papers)Stem Cell Research & Therapy (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Subhrajit Saha
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 329
- Cancer Research 175
- Oncology 249
- Immunology 161
- Molecular Biology 493
Countries citing papers authored by Subhrajit Saha
This map shows the geographic impact of Subhrajit Saha'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 Subhrajit Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhrajit Saha more than expected).
Fields of papers citing papers by Subhrajit Saha
This network shows the impact of papers produced by Subhrajit Saha. 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 Subhrajit Saha. The network helps show where Subhrajit Saha may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhrajit Saha, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 194 | |
| 2 | 2011 | 109 | |
| 3 | 2009 | 100 | |
| 4 | 2015 | 86 | |
| 5 | 2009 | 60 | |
| 6 | 2012 | 59 | |
| 7 | 2018 | 49 | |
| 8 | 2015 | 46 | |
| 9 | 2019 | 42 | |
| 10 | 2022 | 39 | |
| 11 | 2009 | 33 | |
| 12 | 1986 | 32 | |
| 13 | 2016 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2017 | 27 | |
| 16 | 2014 | 24 | |
| 17 | 2010 | 15 | |
| 18 | 2007 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 12 |
About Subhrajit Saha
Subhrajit Saha is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (10 papers), Cancer Cells and Metastasis (5 papers), Extracellular vesicles in disease (4 papers), Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (3 papers), Radiation Therapy and Dosimetry (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (329 citations), Cancer Research (175 citations), Oncology (249 citations), Immunology (161 citations) and Molecular Biology (493 citations). Subhrajit Saha has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Payel Bhanja, Chandan Guha, Laibin Liu, Alan Alfieri, Rafi Kabarriti, Elena Peeva, Juana Gonzalez, Wolfgang A. Tomé, Kalpana Chakraburtty and Gabriel Rosenfeld. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, PLoS ONE, Cells, Stem Cell Research & Therapy 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.