Anindya Bhattacharya
- Physiology top 0.1%
- Adenosine and Purinergic Signaling 32
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 17
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Behavioral Neuroscience top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 9
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- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 7
- Gene expression and cancer classification 6
- Co-authors
- Yan CuiJesse D. ZiebarthMichael A. LetavicKnut BiberWayne C. DrevetsNatalie TaylorYingbo HeTimothy W. Lovenberg
- Journals
- Nucleic Acids Research (5 papers)Journal of Clinical Investigation (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
Anindya Bhattacharya
78 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 134
- Physiology 1.2k
- Biological Psychiatry 612
- Neurology 629
- Behavioral Neuroscience 166
- Cancer Research 577
Countries citing papers authored by Anindya Bhattacharya
This map shows the geographic impact of Anindya Bhattacharya'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 Anindya Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindya Bhattacharya more than expected).
Fields of papers citing papers by Anindya Bhattacharya
This network shows the impact of papers produced by Anindya Bhattacharya. 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 Anindya Bhattacharya. The network helps show where Anindya Bhattacharya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anindya Bhattacharya, 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 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 44 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 83 | |
| 11 | 2016 | 168 | |
| 12 | 2016 | 131 | |
| 13 | 2016 | 43 | |
| 14 | 2016 | 54 | |
| 15 | 2015 | 30 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 45 | |
| 18 | 2014 | 65 | |
| 19 | 2013 | 23 | |
| 20 | 2012 | 65 |
About Anindya Bhattacharya
Anindya Bhattacharya is a scholar working on Physiology, Biological Psychiatry and Neurology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (32 papers), Tryptophan and brain disorders (17 papers), MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Bioinformatics and Genomic Networks (7 papers), RNA modifications and cancer (7 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Physiology (1.2k citations), Biological Psychiatry (612 citations) and Neurology (629 citations). Anindya Bhattacharya has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Yan Cui, Jesse D. Ziebarth, Michael A. Letavic, Knut Biber, Wayne C. Drevets, Natalie Taylor, Yingbo He, Timothy W. Lovenberg, Rajat K. De and Brian Lord. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Neuroscience.
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.