Suvo Chatterjee
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Periodontics top 5%
- Oral microbiology and periodontitis research
Papers in
-
- Gestational Diabetes Research and Management 6
- Pregnancy and preeclampsia studies 5
-
- Birth, Development, and Health 7
- Co-authors
- Ali Rahnavard (4 shared papers)Himel Mallick (3 shared papers)Joseph N. Paulson (1 shared paper)Héctor Corrada Bravo (1 shared paper)Eric A. Franzosa (1 shared paper)Yancong Zhang (1 shared paper)Jeremy E. Wilkinson (1 shared paper)Ayshwarya Subramanian (1 shared paper)
- Journals
- Epigenomics (2 papers)Diabetes (2 papers)Bioinformatics (1 paper)Frontiers in Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSingaporeEthiopia
In The Last Decade
Suvo Chatterjee
16 papers receiving 1.6k citations
Suvo Chatterjee's Hit Papers
Peers
Comparison fields: 5 of 127
- Biological Psychiatry 47
- Periodontics 75
- Molecular Biology 866
- Gastroenterology 43
- Infectious Diseases 145
Countries citing papers authored by Suvo Chatterjee
This map shows the geographic impact of Suvo 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 Suvo Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvo Chatterjee more than expected).
Fields of papers citing papers by Suvo Chatterjee
This network shows the impact of papers produced by Suvo 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 Suvo Chatterjee. The network helps show where Suvo Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Suvo 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 | Multivariable association discovery in population-scale meta-omics studies Hit paper breakdown → | 2021 | 1432 |
| 2 | 2022 | 40 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 |
About Suvo Chatterjee
Suvo Chatterjee is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Birth, Development, and Health (7 papers), Gestational Diabetes Research and Management (6 papers), Pregnancy and preeclampsia studies (5 papers), Epigenetics and DNA Methylation (3 papers), Genetic Associations and Epidemiology (2 papers), Adolescent and Pediatric Healthcare (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biological Psychiatry (47 citations), Periodontics (75 citations), Molecular Biology (866 citations), Gastroenterology (43 citations) and Infectious Diseases (145 citations). Suvo Chatterjee has collaborated with scholars based in United States, Singapore and Ethiopia. Frequent co-authors include Ali Rahnavard, Himel Mallick, Joseph N. Paulson, Héctor Corrada Bravo, Eric A. Franzosa, Yancong Zhang, Jeremy E. Wilkinson, Ayshwarya Subramanian, Timothy L. Tickle and Kelsey N. Thompson. Their work appears in journals such as Epigenomics, Diabetes, Bioinformatics, Frontiers in Genetics and Nature Communications.
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.