Amit Kumar Banerjee
- Co-authors
- Neelima AroraVincent ChauUpadhyayula Suryanarayana MurtyLuisa GregoriYajun XuU. S. N. MurtyRaymond NovakSunil Palchaudhuri
- Topics
- Machine Learning in Bioinformatics (8 papers)Protein Structure and Dynamics (7 papers)Ubiquitin and proteasome pathways (5 papers)
- Journals
- Journal of Biological ChemistryThe EMBO JournalProteins Structure Function and Bioinformatics
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Amit Kumar Banerjee
46 papers receiving 628 citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 390
- Cell Biology 73
- Oncology 70
- Epidemiology 58
- Biotechnology 53
Countries citing papers authored by Amit Kumar Banerjee
This map shows the geographic impact of Amit Kumar 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 Amit Kumar Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Banerjee more than expected).
Fields of papers citing papers by Amit Kumar Banerjee
This network shows the impact of papers produced by Amit Kumar 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 Amit Kumar Banerjee. The network helps show where Amit Kumar Banerjee may publish in the future.
Co-authorship network of co-authors of Amit Kumar Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Banerjee. A scholar is included among the top collaborators of Amit Kumar 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 Amit Kumar Banerjee. Amit Kumar 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 | 2 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | Emerging Trends, Challenges and Prospects in Healthcare in India | 2 |
| 8 | Homology model of 2C-methyl-d-erythritol 2, 4-cyclodiphosphate (MECP) synthase of Plasmodiumfalciparum 3D7 | 1 |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | Classification and Regression Tree (CART) Analysis forDeriving Variable Importance of Parameters InfluencingAverage Flexibility of CaMK Kinase Family | 15 |
| 13 | 23 | |
| 14 | 6 | |
| 15 | 49 | |
| 16 | 4 | |
| 17 | 38 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 50 |
About Amit Kumar Banerjee
Amit Kumar Banerjee is a scholar working on Molecular Biology, Modeling and Simulation and Virology, having authored 51 papers that have together received 695 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (7 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Health Informatics (14 citations), Endocrinology (39 citations) and Biotechnology (53 citations). Amit Kumar Banerjee has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Neelima Arora, Vincent Chau, Upadhyayula Suryanarayana Murty, Luisa Gregori, Yajun Xu, U. S. N. Murty, Raymond Novak, Sunil Palchaudhuri, Myron A. Leon and Thomas A. Kocarek. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Proteins Structure Function and Bioinformatics.
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.