Debashree Ray
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Genetics 15
- Genetic Associations and Epidemiology 13
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 5
- Cleft Lip and Palate Research 3
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- COVID-19 epidemiological studies 8
- Co-authors
- Nilanjan Chatterjee (6 shared papers)Michael Boehnke (1 shared paper)Bhramar Mukherjee (9 shared papers)Saonli Basu (4 shared papers)Soumik Purkayastha (5 shared papers)Maxwell Salvatore (6 shared papers)Rupam Bhattacharyya (7 shared papers)James S. Pankow (3 shared papers)
- Journals
- Genetic Epidemiology (5 papers)Human Heredity (3 papers)PLoS Genetics (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Debashree Ray
28 papers receiving 502 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 134
- Medical Terminology 2
- Genetics 202
- Infectious Diseases 74
- Economics and Econometrics 64
Countries citing papers authored by Debashree Ray
This map shows the geographic impact of Debashree Ray'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 Debashree Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debashree Ray more than expected).
Fields of papers citing papers by Debashree Ray
This network shows the impact of papers produced by Debashree Ray. 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 Debashree Ray. The network helps show where Debashree Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Debashree Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2020 | 76 | |
| 3 | 2017 | 46 | |
| 4 | 2020 | 43 | |
| 5 | 2015 | 33 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2013 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2024 | 4 |
About Debashree Ray
Debashree Ray is a scholar working on Genetics, Modeling and Simulation, Infectious Diseases, Economics and Econometrics and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 508 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), COVID-19 epidemiological studies (8 papers), Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), COVID-19 Clinical Research Studies (3 papers), Cleft Lip and Palate Research (3 papers), COVID-19 Pandemic Impacts (3 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Medical Terminology (2 citations), Genetics (202 citations), Infectious Diseases (74 citations) and Economics and Econometrics (64 citations). Debashree Ray has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Nilanjan Chatterjee, Michael Boehnke, Bhramar Mukherjee, Saonli Basu, Soumik Purkayastha, Maxwell Salvatore, Rupam Bhattacharyya, James S. Pankow, Michael Kleinsasser and Daniel Barker. Their work appears in journals such as Genetic Epidemiology, Human Heredity, PLoS Genetics, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.