Bidesh Mahata
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
Papers in
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- Mitochondrial Function and Pathology 4
- ATP Synthase and ATPases Research 3
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 2
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Jhuma Pramanik (8 shared papers)Sarah A. Teichmann (7 shared papers)Dimitris P. Xirodimas (2 shared papers)Gozde Kar (3 shared papers)Xi Chen (3 shared papers)Valentina Proserpio (2 shared papers)Samit Adhya (5 shared papers)Angela Riedel (2 shared papers)
- Journals
- Cell Reports (3 papers)iScience (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (2 papers)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomIndiaSwitzerland
In The Last Decade
Bidesh Mahata
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Immunology 312
- Oncology 249
- Molecular Biology 642
- Cancer Research 120
- Clinical Biochemistry 50
Countries citing papers authored by Bidesh Mahata
This map shows the geographic impact of Bidesh Mahata'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 Bidesh Mahata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bidesh Mahata more than expected).
Fields of papers citing papers by Bidesh Mahata
This network shows the impact of papers produced by Bidesh Mahata. 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 Bidesh Mahata. The network helps show where Bidesh Mahata may publish in the future.
Co-authors
The 25 scholars most cited alongside Bidesh Mahata, 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 | 2020 | 275 | |
| 2 | 2020 | 216 | |
| 3 | 2014 | 167 | |
| 4 | 2012 | 103 | |
| 5 | 2006 | 84 | |
| 6 | 2021 | 72 | |
| 7 | 2011 | 66 | |
| 8 | 2018 | 64 | |
| 9 | 2015 | 58 | |
| 10 | 2015 | 48 | |
| 11 | 2004 | 33 | |
| 12 | 2008 | 27 | |
| 13 | 2006 | 18 | |
| 14 | 2021 | 8 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2003 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Bidesh Mahata
Bidesh Mahata is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cancer Research, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Immune Cell Function and Interaction (3 papers), ATP Synthase and ATPases Research (3 papers), Estrogen and related hormone effects (3 papers), Trypanosoma species research and implications (2 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Immunology (312 citations), Oncology (249 citations), Molecular Biology (642 citations), Cancer Research (120 citations) and Clinical Biochemistry (50 citations). Bidesh Mahata has collaborated with scholars based in United Kingdom, India and Switzerland. Frequent co-authors include Jhuma Pramanik, Sarah A. Teichmann, Dimitris P. Xirodimas, Gozde Kar, Xi Chen, Valentina Proserpio, Samit Adhya, Angela Riedel, Jacqueline D. Shields and Saikat Mukherjee. Their work appears in journals such as Cell Reports, iScience, Journal of Biological Chemistry, Nature Communications and Human Molecular Genetics.
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.