Sandip Kumar Baidya
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Oncology
- Cancer Research
- Co-authors
- Tarun JhaNilanjan AdhikariSuvankar BanerjeeBalaram GhoshSk. Abdul AminShovanlal GayenSanjib DasTarun Patel
- Topics
- Peptidase Inhibition and Analysis (17 papers)Protease and Inhibitor Mechanisms (16 papers)Computational Drug Discovery Methods (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryEuropean Journal of Medicinal Chemistry
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Sandip Kumar Baidya
31 papers receiving 346 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 159
- Computational Theory and Mathematics 127
- Organic Chemistry 104
- Oncology 94
- Cancer Research 72
Countries citing papers authored by Sandip Kumar Baidya
This map shows the geographic impact of Sandip Kumar 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 Sandip Kumar Baidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandip Kumar Baidya more than expected).
Fields of papers citing papers by Sandip Kumar Baidya
This network shows the impact of papers produced by Sandip Kumar 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 Sandip Kumar Baidya. The network helps show where Sandip Kumar Baidya may publish in the future.
Co-authorship network of co-authors of Sandip Kumar Baidya
This figure shows the co-authorship network connecting the top 25 collaborators of Sandip Kumar Baidya. A scholar is included among the top collaborators of Sandip Kumar Baidya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandip Kumar Baidya. Sandip Kumar Baidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 36 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 22 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 21 | |
| 19 | 11 | |
| 20 | 13 |
About Sandip Kumar Baidya
Sandip Kumar Baidya is a scholar working on Cancer Research, Computational Theory and Mathematics and Oncology, having authored 32 papers that have together received 350 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (17 papers), Protease and Inhibitor Mechanisms (16 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Computational Theory and Mathematics (127 citations), Cancer Research (72 citations) and Organic Chemistry (104 citations). Sandip Kumar Baidya has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Tarun Jha, Nilanjan Adhikari, Suvankar Banerjee, Balaram Ghosh, Sk. Abdul Amin, Shovanlal Gayen, Sanjib Das, Tarun Patel, Mahitosh Mandal and Vinod Kumar Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.
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.