Bikash Debnath
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Nouri NeamatiHelen HaShili XuKuntal MannaTarun JhaSoma SamantaWaikhom Somraj SinghAntonio Garofalo
- Topics
- Computational Drug Discovery Methods (10 papers)HIV/AIDS drug development and treatment (10 papers)Biochemical and Molecular Research (7 papers)
- Cited by
- OncologyImmunologyVirology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Bikash Debnath
65 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 948
- Oncology 657
- Immunology 498
- Organic Chemistry 422
- Computational Theory and Mathematics 239
Countries citing papers authored by Bikash Debnath
This map shows the geographic impact of Bikash Debnath'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 Bikash Debnath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bikash Debnath more than expected).
Fields of papers citing papers by Bikash Debnath
This network shows the impact of papers produced by Bikash Debnath. 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 Bikash Debnath. The network helps show where Bikash Debnath may publish in the future.
Co-authorship network of co-authors of Bikash Debnath
This figure shows the co-authorship network connecting the top 25 collaborators of Bikash Debnath. A scholar is included among the top collaborators of Bikash Debnath 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 Bikash Debnath. Bikash Debnath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 78 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | Role of plant alkaloids on human health: A review of biological activitiesbreakdown → | 261 |
| 9 | 2 | |
| 10 | 9 | |
| 11 | Nanoparticle (NP) as a Targeting Drug Delivery System to Blood-Brain Barrier (BBB): A Review | 1 |
| 12 | ESTIMATION OF ALKALOIDS AND PHENOLICS OF FIVE EDIBLE CUCURBITACEOUS PLANTS AND THEIR ANTIBACTERIAL ACTIVITY | 14 |
| 13 | 216 | |
| 14 | 38 | |
| 15 | 19 | |
| 16 | 28 | |
| 17 | 18 | |
| 18 | 23 | |
| 19 | Enhanced regression of tumors in mice with combined chemotherapy and immunotherapy | 8 |
| 20 | 31 |
About Bikash Debnath
Bikash Debnath is a scholar working on Drug Discovery, Virology and Infectious Diseases, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), HIV/AIDS drug development and treatment (10 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Oncology (657 citations), Immunology (498 citations) and Virology (98 citations). Bikash Debnath has collaborated with scholars based in India, United States and China. Frequent co-authors include Nouri Neamati, Helen Ha, Shili Xu, Nouri Neamati, Kuntal Manna, Tarun Jha, Soma Samanta, Waikhom Somraj Singh, Antonio Garofalo and Fedora Grande. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.