Debasmita Das
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Genetically Modified Organisms Research 3
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- Effects and risks of endocrine disrupting chemicals 2
- Environmental Toxicology and Ecotoxicology 2
- Co-authors
- Chayna Sarkar (3 shared papers)Biswadeep Das (3 shared papers)Iadarilang Tiewsoh (1 shared paper)Arvind Nongpiur (1 shared paper)Vikram Singh Rawat (1 shared paper)Julie Birdie Wahlang (1 shared paper)Sujay Ghosh (8 shared papers)Palok Aich (1 shared paper)
- Journals
- Ethology Ecology & Evolution (1 paper)Tomography (1 paper)Therapeutic Advances in Infectious Disease (1 paper)Journal of Toxicology and Environmental Health (1 paper)Euphytica (1 paper)
- Partner nations
- India
In The Last Decade
Debasmita Das
12 papers receiving 288 citations
Debasmita Das's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 17
- Computational Theory and Mathematics 93
- Molecular Medicine 12
- Applied Microbiology and Biotechnology 4
- Health Information Management 8
Countries citing papers authored by Debasmita Das
This map shows the geographic impact of Debasmita Das'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 Debasmita Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasmita Das more than expected).
Fields of papers citing papers by Debasmita Das
This network shows the impact of papers produced by Debasmita Das. 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 Debasmita Das. The network helps show where Debasmita Das may publish in the future.
Co-authors
The 14 scholars most cited alongside Debasmita Das, 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 | Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development Hit paper breakdown → | 2023 | 171 |
| 2 | 2021 | 29 | |
| 3 | 2017 | 28 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2025 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2020 | 0 |
About Debasmita Das
Debasmita Das is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Molecular Biology, Pollution and Computational Theory and Mathematics, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (3 papers), Microplastics and Plastic Pollution (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Computational Drug Discovery Methods (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Health Informatics (17 citations), Computational Theory and Mathematics (93 citations), Molecular Medicine (12 citations), Applied Microbiology and Biotechnology (4 citations) and Health Information Management (8 citations). Debasmita Das has collaborated with scholars based in India. Frequent co-authors include Chayna Sarkar, Biswadeep Das, Iadarilang Tiewsoh, Arvind Nongpiur, Vikram Singh Rawat, Julie Birdie Wahlang, Sujay Ghosh, Palok Aich, Amit Gupta and Dipankar Bhattacharyay. Their work appears in journals such as Ethology Ecology & Evolution, Tomography, Therapeutic Advances in Infectious Disease, Journal of Toxicology and Environmental Health and Euphytica.
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.