Soumya Banerjee
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Clinical Psychology
- Artificial Intelligence
- Cell Biology
- Co-authors
- Melanie E. MosesRudolf N. CardinalHera VlamakisRamnik J. XavierHimel MallickAleksandar D. KosticClary B. ClishCurtis Huttenhower
- Topics
- COVID-19 epidemiological studies (6 papers)Machine Learning in Healthcare (6 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- Angewandte Chemie International EditionNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Soumya Banerjee
53 papers receiving 803 citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 264
- Public Health, Environmental and Occupational Health 99
- Clinical Psychology 86
- Artificial Intelligence 82
- Cell Biology 82
Countries citing papers authored by Soumya Banerjee
This map shows the geographic impact of Soumya Banerjee'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 Soumya Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumya Banerjee more than expected).
Fields of papers citing papers by Soumya Banerjee
This network shows the impact of papers produced by Soumya Banerjee. 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 Soumya Banerjee. The network helps show where Soumya Banerjee may publish in the future.
Co-authorship network of co-authors of Soumya Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Banerjee. A scholar is included among the top collaborators of Soumya Banerjee 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 Soumya Banerjee. Soumya Banerjee 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 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 37 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 94 | |
| 14 | 68 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 45 | |
| 19 | Digital Watermarking using Ant Colony Optimization in Fractional Fourier Domain. | 29 |
| 20 | OptiTest: Optimizing Test Case Using Hybrid Intelligence | 3 |
About Soumya Banerjee
Soumya Banerjee is a scholar working on Health Informatics, Modeling and Simulation and Artificial Intelligence, having authored 59 papers that have together received 833 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Machine Learning in Healthcare (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Health Informatics (43 citations), Modeling and Simulation (52 citations) and Cell Biology (82 citations). Soumya Banerjee has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Melanie E. Moses, Rudolf N. Cardinal, Hera Vlamakis, Ramnik J. Xavier, Himel Mallick, Aleksandar D. Kostic, Clary B. Clish, Curtis Huttenhower, Eric A. Franzosa and Alexandra Sirota‐Madi. Their work appears in journals such as Angewandte Chemie International Edition, 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.