Jit Chatterjee
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Neurofibromatosis and Schwannoma Cases
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Genetics 9
- Glioma Diagnosis and Treatment 9
-
- Neurofibromatosis and Schwannoma Cases 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- David H. Gutmann (13 shared papers)Olivia M. Cobb (7 shared papers)Mohammed Shafiul Mustak (3 shared papers)Suzanne M. Scheaffer (3 shared papers)Shilpa Sanapala (3 shared papers)Prakash P. Pillai (2 shared papers)Corina Anastasaki (4 shared papers)Ji‐Kang Chen (2 shared papers)
- Journals
- Neuro-Oncology (4 papers)Nature Communications (3 papers)Neuro-Oncology Advances (2 papers)Acta Neuropathologica Communications (2 papers)Disease Models & Mechanisms (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Jit Chatterjee
18 papers receiving 292 citations
Peers
Comparison fields: 5 of 52
- Genetics 97
- Neurology 43
- Neurology 21
- Oncology 38
- Developmental Neuroscience 5
Countries citing papers authored by Jit Chatterjee
This map shows the geographic impact of Jit 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 Jit Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jit Chatterjee more than expected).
Fields of papers citing papers by Jit Chatterjee
This network shows the impact of papers produced by Jit 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 Jit Chatterjee. The network helps show where Jit Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jit 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2021 | 37 | |
| 3 | 2017 | 29 | |
| 4 | 2021 | 27 | |
| 5 | 2018 | 24 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2024 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2025 | 9 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 1 |
About Jit Chatterjee
Jit Chatterjee is a scholar working on Genetics, Neurology, Neurology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 294 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Effects of Radiation Exposure (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Glaucoma and retinal disorders (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Genetics (97 citations), Neurology (43 citations), Neurology (21 citations), Oncology (38 citations) and Developmental Neuroscience (5 citations). Jit Chatterjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include David H. Gutmann, Olivia M. Cobb, Mohammed Shafiul Mustak, Suzanne M. Scheaffer, Shilpa Sanapala, Prakash P. Pillai, Corina Anastasaki, Ji‐Kang Chen, Michelle Monje and Yuan Xiang Pan. Their work appears in journals such as Neuro-Oncology, Nature Communications, Neuro-Oncology Advances, Acta Neuropathologica Communications and Disease Models & Mechanisms.
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.