Paramita Chatterjee
Impact in
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Epigenetics and DNA Methylation 5
- Genetics 5
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Mesenchymal stem cell research 3
- Co-authors
- Soojin V. Yi (9 shared papers)Hyeonsoo Jeong (5 shared papers)Thomas Layman (5 shared papers)Connor Douglas (3 shared papers)Stefano Berto (3 shared papers)Noriyoshi Usui (3 shared papers)Todd M. Preuss (3 shared papers)Geneviève Konopka (3 shared papers)
- Journals
- Stem Cell Research & Therapy (1 paper)Blood (1 paper)Cytotherapy (1 paper)Genome Research (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Paramita Chatterjee
23 papers receiving 398 citations
Peers
Comparison fields: 5 of 97
- Developmental Neuroscience 24
- Biological Psychiatry 12
- Genetics 43
- Genetics 109
- Molecular Biology 195
Countries citing papers authored by Paramita Chatterjee
This map shows the geographic impact of Paramita 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 Paramita Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paramita Chatterjee more than expected).
Fields of papers citing papers by Paramita Chatterjee
This network shows the impact of papers produced by Paramita 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 Paramita Chatterjee. The network helps show where Paramita Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Paramita 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2021 | 68 | |
| 3 | 2023 | 63 | |
| 4 | 2019 | 51 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | Enhancing the Usability of Cloud based LMS Architecture in Covid Pandemic | 2021 | 1 |
About Paramita Chatterjee
Paramita Chatterjee is a scholar working on Molecular Biology, Genetics, Immunology, Genetics and Epidemiology, having authored 25 papers that have together received 407 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Immune cells in cancer (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Mesenchymal stem cell research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Bone fractures and treatments (2 papers), Network Security and Intrusion Detection (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Developmental Neuroscience (24 citations), Biological Psychiatry (12 citations), Genetics (43 citations), Genetics (109 citations) and Molecular Biology (195 citations). Paramita Chatterjee has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Soojin V. Yi, Hyeonsoo Jeong, Thomas Layman, Connor Douglas, Stefano Berto, Noriyoshi Usui, Todd M. Preuss, Geneviève Konopka, Isabel Mendizabal and Kazuya Toriumi. Their work appears in journals such as Stem Cell Research & Therapy, Blood, Cytotherapy, Genome Research and Wireless Personal Communications.
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.