Moumita Datta
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Marco Prinz (4 shared papers)Ori Staszewski (3 shared papers)Steffen Jung (2 shared papers)Peter Wieghofer (1 shared paper)Tobias Goldmann (1 shared paper)Tom Luedde (1 shared paper)Mathias Heikenwälder (1 shared paper)Simon Yona (1 shared paper)
In The Last Decade
Moumita Datta
15 papers receiving 1.2k citations
Moumita Datta's Hit Papers
Peers
Comparison fields: 5 of 85
- Neurology 839
- Developmental Neuroscience 149
- Biological Psychiatry 77
- Immunology 610
- Cellular and Molecular Neuroscience 147
Countries citing papers authored by Moumita Datta
This map shows the geographic impact of Moumita Datta'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 Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moumita Datta more than expected).
Fields of papers citing papers by Moumita Datta
This network shows the impact of papers produced by Moumita Datta. 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 Datta. The network helps show where Moumita Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Moumita Datta, 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 | A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation Hit paper breakdown → | 2013 | 526 |
| 2 | 2017 | 427 | |
| 3 | 2018 | 145 | |
| 4 | 2019 | 31 | |
| 5 | 2018 | 19 | |
| 6 | 2011 | 18 | |
| 7 | 2019 | 15 | |
| 8 | 2011 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2009 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2017 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Moumita Datta
Moumita Datta is a scholar working on Immunology, Molecular Biology, Oncology, Cellular and Molecular Neuroscience and Neurology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Genetic Neurodegenerative Diseases (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Neurology (839 citations), Developmental Neuroscience (149 citations), Biological Psychiatry (77 citations), Immunology (610 citations) and Cellular and Molecular Neuroscience (147 citations). Moumita Datta has collaborated with scholars based in Germany, India and Israel. Frequent co-authors include Marco Prinz, Ori Staszewski, Steffen Jung, Peter Wieghofer, Tobias Goldmann, Tom Luedde, Mathias Heikenwälder, Simon Yona, Diana Varol and Katrin Kierdorf. Their work appears in journals such as Nature Neuroscience, The Journal of Immunology, International Journal of Molecular Sciences, The International Journal of Biochemistry & Cell Biology and Cancers.
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.