Aditya Mithal
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
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- Curcumin's Biomedical Applications
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 detection and testing 3
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- Pluripotent Stem Cells Research 2
- Co-authors
- Labchan Rajbhandari (2 shared papers)Suneil Hosmane (2 shared papers)Million Adane Tegenge (2 shared papers)Arun Venkatesan (2 shared papers)Carlos Villacorta-Martín (4 shared papers)Gustavo Mostoslavsky (6 shared papers)Nishant Ganesh Kumar (1 shared paper)Adeel Malik (1 shared paper)
- Journals
- Stem Cell Reports (3 papers)Experimental Neurology (1 paper)PLoS Pathogens (1 paper)Glia (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Aditya Mithal
12 papers receiving 248 citations
Peers
Comparison fields: 5 of 67
- Neurology 58
- Molecular Medicine 29
- Developmental Neuroscience 10
- Biological Psychiatry 6
- Immunology 42
Countries citing papers authored by Aditya Mithal
This map shows the geographic impact of Aditya Mithal'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 Aditya Mithal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Mithal more than expected).
Fields of papers citing papers by Aditya Mithal
This network shows the impact of papers produced by Aditya Mithal. 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 Aditya Mithal. The network helps show where Aditya Mithal may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Mithal, 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 | 2020 | 84 | |
| 2 | 2014 | 64 | |
| 3 | 2014 | 56 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 9 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Aditya Mithal
Aditya Mithal is a scholar working on Infectious Diseases, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 13 papers that have together received 252 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Nerve injury and regeneration (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced Neural Network Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Neurology (58 citations), Molecular Medicine (29 citations), Developmental Neuroscience (10 citations), Biological Psychiatry (6 citations) and Immunology (42 citations). Aditya Mithal has collaborated with scholars based in United States and India. Frequent co-authors include Labchan Rajbhandari, Suneil Hosmane, Million Adane Tegenge, Arun Venkatesan, Carlos Villacorta-Martín, Gustavo Mostoslavsky, Nishant Ganesh Kumar, Adeel Malik, Andrew Berical and Anjali Jacob. Their work appears in journals such as Stem Cell Reports, Experimental Neurology, PLoS Pathogens, Glia and Journal of Clinical Medicine.
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.