Debjit Ray
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Ubiquitin and proteasome pathways 2
- Gene Regulatory Network Analysis 1
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- Research in Cotton Cultivation 2
- Chromosomal and Genetic Variations 2
- Co-authors
- Jamie Sherman (1 shared paper)Ping Ye (3 shared papers)JOHN E. ENDRIZZI (2 shared papers)Ping Ye (1 shared paper)Ping Ye (2 shared papers)Allen C. Gathman (2 shared papers)Bhaswar B. Bhattacharya (1 shared paper)Venkatachalam S. Giri (1 shared paper)
- Journals
- Journal of Heredity (4 papers)Cell (2 papers)Biology Open (1 paper)Biology of Reproduction (1 paper)Journal of Earth System Science (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Debjit Ray
15 papers receiving 966 citations
Debjit Ray's Hit Papers
Peers
Comparison fields: 5 of 97
- Spectroscopy 248
- Cancer Research 199
- Reproductive Medicine 71
- Molecular Biology 583
- Oncology 132
Countries citing papers authored by Debjit Ray
This map shows the geographic impact of Debjit 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 Debjit Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debjit Ray more than expected).
Fields of papers citing papers by Debjit Ray
This network shows the impact of papers produced by Debjit 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 Debjit Ray. The network helps show where Debjit Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Debjit 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
| # | Work | ||
|---|---|---|---|
| 1 | Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer Hit paper breakdown → | 2016 | 798 |
| 2 | 2007 | 40 | |
| 3 | 2013 | 29 | |
| 4 | 2014 | 21 | |
| 5 | 1988 | 18 | |
| 6 | 2005 | 18 | |
| 7 | 2013 | 16 | |
| 8 | 2013 | 11 | |
| 9 | 1991 | 9 | |
| 10 | 1987 | 8 | |
| 11 | 1991 | 6 | |
| 12 | 2013 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 1989 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Debjit Ray
Debjit Ray is a scholar working on Molecular Biology, Plant Science, Public Health, Environmental and Occupational Health, Genetics and Oral Surgery, having authored 17 papers that have together received 989 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (2 papers), Research in Cotton Cultivation (2 papers), Chromosomal and Genetic Variations (2 papers), Ubiquitin and proteasome pathways (2 papers), Gene Regulatory Network Analysis (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Prenatal Screening and Diagnostics (1 paper) and Geological and Geochemical Analysis (1 paper). The work is most often cited by research in Spectroscopy (248 citations), Cancer Research (199 citations), Reproductive Medicine (71 citations), Molecular Biology (583 citations) and Oncology (132 citations). Debjit Ray has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Jamie Sherman, Ping Ye, JOHN E. ENDRIZZI, Ping Ye, Ping Ye, Allen C. Gathman, Bhaswar B. Bhattacharya, Venkatachalam S. Giri, Yunfei Li and Parasuraman Jaisankar. Their work appears in journals such as Journal of Heredity, Cell, Biology Open, Biology of Reproduction and Journal of Earth System Science.
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.