Sujay Datta
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
Papers in
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- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 2
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- Probability and Risk Models 2
- Co-authors
- D. H. Keisler (2 shared papers)Thomas E. Spencer (2 shared papers)Timothy A. Cudd (2 shared papers)M. Carey Satterfield (2 shared papers)Guoyao Wu (2 shared papers)Arantzatzu Lassala (2 shared papers)Fuller W. Bazer (2 shared papers)Nitis Mukhopadhyay (4 shared papers)
- Journals
- Journal of Nutrition (2 papers)Future Oncology (1 paper)Nitric Oxide (1 paper)Amino Acids (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Sujay Datta
17 papers receiving 475 citations
Peers
Comparison fields: 5 of 98
- Obstetrics and Gynecology 78
- Agronomy and Crop Science 115
- Statistics and Probability 77
- Pediatrics, Perinatology and Child Health 107
- Statistics, Probability and Uncertainty 44
Countries citing papers authored by Sujay Datta
This map shows the geographic impact of Sujay 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 Sujay Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujay Datta more than expected).
Fields of papers citing papers by Sujay Datta
This network shows the impact of papers produced by Sujay 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 Sujay Datta. The network helps show where Sujay Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujay 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 | 2010 | 132 | |
| 2 | 2011 | 114 | |
| 3 | 2008 | 57 | |
| 4 | 2004 | 48 | |
| 5 | 2008 | 30 | |
| 6 | 2008 | 29 | |
| 7 | Applied Sequential Methodologies: Real- World Examples with Data Analysis | 2004 | 14 |
| 8 | 2018 | 12 | |
| 9 | 2010 | 11 | |
| 10 | 1996 | 10 | |
| 11 | 2005 | 10 | |
| 12 | 1998 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 0 |
About Sujay Datta
Sujay Datta is a scholar working on Molecular Biology, Management Science and Operations Research, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 18 papers that have together received 484 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Statistical Distribution Estimation and Applications (2 papers), Pregnancy and preeclampsia studies (2 papers), Probability and Risk Models (2 papers), Bioinformatics and Genomic Networks (2 papers), Birth, Development, and Health (2 papers), Bayesian Methods and Mixture Models (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (78 citations), Agronomy and Crop Science (115 citations), Statistics and Probability (77 citations), Pediatrics, Perinatology and Child Health (107 citations) and Statistics, Probability and Uncertainty (44 citations). Sujay Datta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include D. H. Keisler, Thomas E. Spencer, Timothy A. Cudd, M. Carey Satterfield, Guoyao Wu, Arantzatzu Lassala, Fuller W. Bazer, Nitis Mukhopadhyay, Wilson G. Pond and Guoyao Wu. Their work appears in journals such as Journal of Nutrition, Future Oncology, Nitric Oxide, Amino Acids and Journal of the American Statistical Association.
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.