Jit Chatterjee
Impact in
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- Glioma Diagnosis and Treatment
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- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neurofibromatosis and Schwannoma Cases 4
- Neuroblastoma Research and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Genetics 5
- Glioma Diagnosis and Treatment 5
- Co-authors
- David H. Gutmann (13 shared papers)Olivia Cobb (7 shared papers)Mohammed S. Mustak (5 shared papers)Suzanne M. Scheaffer (3 shared papers)Corina Anastasaki (4 shared papers)Ji‐Kang Chen (3 shared papers)Shilpa Sanapala (3 shared papers)Michelle Monje (1 shared paper)
- Journals
- Neuro-Oncology (4 papers)Nature Communications (3 papers)Acta Neuropathologica Communications (2 papers)Neuro-Oncology Advances (2 papers)Journal of Biochemical and Molecular Toxicology (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Jit Chatterjee
19 papers receiving 256 citations
Peers
Comparison fields: 5 of 68
- Genetics 57
- Neurology 59
- Neurology 27
- Developmental Neuroscience 12
- Immunology 39
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 | 58 | |
| 2 | 2021 | 33 | |
| 3 | 2017 | 28 | |
| 4 | 2018 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 9 | |
| 12 | 2025 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 1 |
About Jit Chatterjee
Jit Chatterjee is a scholar working on Neurology, Genetics, Epidemiology, Immunology and Neurology, having authored 19 papers that have together received 257 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Neuroblastoma Research and Treatments (4 papers), Meningioma and schwannoma management (3 papers), Immune cells in cancer (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Graphene and Nanomaterials Applications (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Genetics (57 citations), Neurology (59 citations), Neurology (27 citations), Developmental Neuroscience (12 citations) and Immunology (39 citations). Jit Chatterjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include David H. Gutmann, Olivia Cobb, Mohammed S. Mustak, Suzanne M. Scheaffer, Corina Anastasaki, Ji‐Kang Chen, Shilpa Sanapala, Michelle Monje, Juan Mo and Yuan Pan. Their work appears in journals such as Neuro-Oncology, Nature Communications, Acta Neuropathologica Communications, Neuro-Oncology Advances and Journal of Biochemical and Molecular Toxicology.
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.