Sudeepa Bhattacharyya
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 7
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection 12
- Pharmacogenetics and Drug Metabolism 7
- Behavioral Neuroscience top 10%
- Hepatology top 10%
- Emergency Medicine top 5%
- Poisoning and overdose treatments 5
-
- Metabolomics and Mass Spectrometry Studies 7
- Gut microbiota and health 6
-
- Diet and metabolism studies 7
-
- Drug Transport and Resistance Mechanisms 6
- Co-authors
- Larry J. SuvaRichard D. BegerLaura P. JamesPritmohinder S. GillEric R. SiegelRima Kaddurah‐DaoukLisa PenceOliver Fiehn
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Sudeepa Bhattacharyya
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 143
- Pharmacology 259
- Behavioral Neuroscience 44
- Hepatology 95
- Emergency Medicine 116
Countries citing papers authored by Sudeepa Bhattacharyya
This map shows the geographic impact of Sudeepa Bhattacharyya'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 Sudeepa Bhattacharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeepa Bhattacharyya more than expected).
Fields of papers citing papers by Sudeepa Bhattacharyya
This network shows the impact of papers produced by Sudeepa Bhattacharyya. 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 Sudeepa Bhattacharyya. The network helps show where Sudeepa Bhattacharyya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sudeepa Bhattacharyya, 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 | 2025 | 5 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 60 | |
| 8 | Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers | 2020 | 1 |
| 9 | 2020 | 3 | |
| 10 | 2020 | 65 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 62 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 17 | |
| 15 | 2017 | 46 | |
| 16 | 2017 | 34 | |
| 17 | 2015 | 60 | |
| 18 | 2015 | 21 | |
| 19 | 2015 | 55 | |
| 20 | Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer. | 2003 | 0 |
About Sudeepa Bhattacharyya
Sudeepa Bhattacharyya is a scholar working on Biological Psychiatry, Pharmacology and Behavioral Neuroscience, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Diet and metabolism studies (7 papers), Tryptophan and brain disorders (7 papers), Gut microbiota and health (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Poisoning and overdose treatments (5 papers). The work is most often cited by research in Biological Psychiatry (143 citations), Pharmacology (259 citations) and Behavioral Neuroscience (44 citations). Sudeepa Bhattacharyya has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Larry J. Suva, Richard D. Beger, Laura P. James, Pritmohinder S. Gill, Eric R. Siegel, Rima Kaddurah‐Daouk, Lisa Pence, Oliver Fiehn, Laura K. Schnackenberg and Jinchun Sun. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.
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.