Mithu Baidya
Impact in
- Spectroscopy top 2%
- Molecular Sensors and Ion Detection
- Mass Spectrometry Techniques and Applications
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
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- Receptor Mechanisms and Signaling 19
- Protein Kinase Regulation and GTPase Signaling 3
- Advanced biosensing and bioanalysis techniques 2
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- Neuropeptides and Animal Physiology 10
- Co-authors
- Sudip Kumar Ghosh (11 shared papers)Amitava Das (7 shared papers)Arun K. Shukla (17 shared papers)Sukdeb Saha (4 shared papers)Upendar Reddy Gandra (3 shared papers)Priyadip Das (4 shared papers)Eringathodi Suresh (3 shared papers)Prasenjit Mahato (2 shared papers)
In The Last Decade
Mithu Baidya
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Spectroscopy 548
- Biochemistry 155
- Cellular and Molecular Neuroscience 310
- Electrochemistry 73
- Molecular Biology 729
Countries citing papers authored by Mithu Baidya
This map shows the geographic impact of Mithu Baidya'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 Mithu Baidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mithu Baidya more than expected).
Fields of papers citing papers by Mithu Baidya
This network shows the impact of papers produced by Mithu Baidya. 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 Mithu Baidya. The network helps show where Mithu Baidya may publish in the future.
Co-authors
The 25 scholars most cited alongside Mithu Baidya, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 159 | |
| 2 | 2012 | 100 | |
| 3 | 2012 | 79 | |
| 4 | 2017 | 78 | |
| 5 | 2018 | 75 | |
| 6 | 2012 | 65 | |
| 7 | 2021 | 62 | |
| 8 | 2012 | 60 | |
| 9 | 2020 | 57 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 43 | |
| 12 | 2013 | 43 | |
| 13 | 2019 | 42 | |
| 14 | 2023 | 38 | |
| 15 | 2017 | 36 | |
| 16 | 2019 | 29 | |
| 17 | 2013 | 27 | |
| 18 | 2012 | 25 | |
| 19 | 2020 | 22 | |
| 20 | 2013 | 22 |
About Mithu Baidya
Mithu Baidya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Materials Chemistry, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Molecular Sensors and Ion Detection (7 papers), Luminescence and Fluorescent Materials (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Spectroscopy (548 citations), Biochemistry (155 citations), Cellular and Molecular Neuroscience (310 citations), Electrochemistry (73 citations) and Molecular Biology (729 citations). Mithu Baidya has collaborated with scholars based in India, Canada and Spain. Frequent co-authors include Sudip Kumar Ghosh, Amitava Das, Arun K. Shukla, Sukdeb Saha, Upendar Reddy Gandra, Priyadip Das, Eringathodi Suresh, Prasenjit Mahato, Hemlata Dwivedi and Amal Kumar Mandal. Their work appears in journals such as Nature Structural & Molecular Biology, Chemical Communications, Journal of Biological Chemistry, Dalton Transactions and Organic Letters.
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.