Kakoli Banerjee
- Oncology top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Epidemiology
- Immunology
- Co-authors
- Farukh ArjmandMala ChauhanAjay K. YadavAnjana KalitaSuzanne M. de la MonteJack R. WandsLynn AckersonNeema Ganju
- Topics
- Hepatitis B Virus Studies (9 papers)Hepatitis C virus research (6 papers)Liver Disease Diagnosis and Treatment (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Kakoli Banerjee
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 160
- Oncology 465
- Molecular Biology 397
- Organic Chemistry 185
- Epidemiology 163
- Immunology 114
Countries citing papers authored by Kakoli Banerjee
This map shows the geographic impact of Kakoli 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 Kakoli Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kakoli Banerjee more than expected).
Fields of papers citing papers by Kakoli Banerjee
This network shows the impact of papers produced by Kakoli 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 Kakoli Banerjee. The network helps show where Kakoli Banerjee may publish in the future.
Co-authorship network of co-authors of Kakoli Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Kakoli Banerjee. A scholar is included among the top collaborators of Kakoli 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 Kakoli Banerjee. Kakoli 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 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | An Evaluation of Machine Learning Techniques in Predicting Depression using Motion and Facial Expressions | 2 |
| 7 | 10 | |
| 8 | 36 | |
| 9 | 9 | |
| 10 | Concentration of heavy metals in fish juveniles of Gangetic Delta of West Bengal, India. | 19 |
| 11 | 26 | |
| 12 | 115 | |
| 13 | 41 | |
| 14 | 40 | |
| 15 | 47 | |
| 16 | 48 | |
| 17 | 14 | |
| 18 | 33 | |
| 19 | Some new hosts of Cuscuta sp. | 2 |
| 20 | 3 |
About Kakoli Banerjee
Kakoli Banerjee is a scholar working on Hepatology, Human-Computer Interaction and Epidemiology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Oncology (465 citations), Hepatology (91 citations) and Developmental Neuroscience (46 citations). Kakoli Banerjee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Farukh Arjmand, Mala Chauhan, Ajay K. Yadav, Anjana Kalita, Suzanne M. de la Monte, Jack R. Wands, Lynn Ackerson, Neema Ganju, Shiv Kumar Sarin and Kanchan Mishra. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.