Moumita Chatterjee
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
Papers in
-
- DNA Repair Mechanisms 4
- Oncology 11
- Co-authors
- Kaustav Chakraborty (4 shared papers)Terence M. Williams (10 shared papers)Arnab Chakravarti (3 shared papers)Edgar Ben‐Josef (2 shared papers)Ryan Robb (4 shared papers)Luc Van Kaer (2 shared papers)Rudra Prosad Goswami (7 shared papers)Krishnan Thirumoorthy (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Scientific Reports (2 papers)The Journal of Physical Chemistry B (2 papers)ACS Omega (2 papers)The Journal of Physical Chemistry A (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Moumita Chatterjee
56 papers receiving 811 citations
Peers
Comparison fields: 5 of 129
- Cell Biology 116
- Cancer Research 104
- Biomaterials 89
- Applied Psychology 34
- Oncology 174
Countries citing papers authored by Moumita Chatterjee
This map shows the geographic impact of Moumita Chatterjee'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 Moumita Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moumita Chatterjee more than expected).
Fields of papers citing papers by Moumita Chatterjee
This network shows the impact of papers produced by Moumita Chatterjee. 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 Moumita Chatterjee. The network helps show where Moumita Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Moumita Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2020 | 96 | |
| 3 | 2015 | 85 | |
| 4 | 2020 | 61 | |
| 5 | 2015 | 52 | |
| 6 | 2021 | 48 | |
| 7 | 2015 | 44 | |
| 8 | 2015 | 31 | |
| 9 | 2010 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2022 | 21 | |
| 12 | 2017 | 16 | |
| 13 | 2011 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2015 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2019 | 8 |
About Moumita Chatterjee
Moumita Chatterjee is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Computer Networks and Communications, having authored 62 papers that have together received 834 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (5 papers), Mental Health via Writing (5 papers), DNA Repair Mechanisms (4 papers), Supramolecular Self-Assembly in Materials (3 papers), Cloud Computing and Resource Management (3 papers), Caveolin-1 and cellular processes (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Cell Biology (116 citations), Cancer Research (104 citations), Biomaterials (89 citations), Applied Psychology (34 citations) and Oncology (174 citations). Moumita Chatterjee has collaborated with scholars based in India, United States and France. Frequent co-authors include Kaustav Chakraborty, Terence M. Williams, Arnab Chakravarti, Edgar Ben‐Josef, Ryan Robb, Luc Van Kaer, Rudra Prosad Goswami, Krishnan Thirumoorthy, Kamalakannan Palanichamy and Marall Vedaie. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, The Journal of Physical Chemistry B, ACS Omega and The Journal of Physical Chemistry A.
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.