Dipayan Gupta
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Information Systems top 5%
- Research Data Management Practices
Papers in
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- Research Data Management Practices 10
-
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Mélanie Courtot (1 shared paper)Tony Burdett (2 shared papers)Isuru Udara Liyanage (2 shared papers)Senthilnathan Vijayaraja (1 shared paper)Uğis Sarkans (1 shared paper)Yasset Pérez‐Riverol (1 shared paper)Antton Alberdi (1 shared paper)Jacob Agerbo Rasmussen (1 shared paper)
- Journals
- Nucleic Acids Research (8 papers)Nature (1 paper)Database (1 paper)Microbial Genomics (1 paper)Cell Genomics (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Dipayan Gupta
11 papers receiving 617 citations
Dipayan Gupta's Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 29
- Information Systems 172
- Information Systems and Management 53
- Molecular Biology 278
- Genetics 87
Countries citing papers authored by Dipayan Gupta
This map shows the geographic impact of Dipayan Gupta'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 Dipayan Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipayan Gupta more than expected).
Fields of papers citing papers by Dipayan Gupta
This network shows the impact of papers produced by Dipayan Gupta. 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 Dipayan Gupta. The network helps show where Dipayan Gupta may publish in the future.
Co-authors
The 18 scholars most cited alongside Dipayan Gupta, 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 | GA4GH: International policies and standards for data sharing across genomic research and healthcare Hit paper breakdown → | 2021 | 203 |
| 2 | 2020 | 110 | |
| 3 | 2022 | 76 | |
| 4 | 2021 | 75 | |
| 5 | 2023 | 75 | |
| 6 | 2021 | 47 | |
| 7 | 2024 | 30 | |
| 8 | 2025 | 9 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 0 |
About Dipayan Gupta
Dipayan Gupta is a scholar working on Information Systems, Molecular Biology, Health Information Management, Animal Science and Zoology and Information Systems and Management, having authored 12 papers that have together received 637 indexed citations. Recurring topics across this work include Research Data Management Practices (10 papers), Genomics and Phylogenetic Studies (3 papers), Electronic Health Records Systems (1 paper), Bioinformatics and Genomic Networks (1 paper), Ethics in Clinical Research (1 paper), Genomics and Rare Diseases (1 paper), CRISPR and Genetic Engineering (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health Informatics (29 citations), Information Systems (172 citations), Information Systems and Management (53 citations), Molecular Biology (278 citations) and Genetics (87 citations). Dipayan Gupta has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Mélanie Courtot, Tony Burdett, Isuru Udara Liyanage, Senthilnathan Vijayaraja, Uğis Sarkans, Yasset Pérez‐Riverol, Antton Alberdi, Jacob Agerbo Rasmussen, Morten T. Limborg and Tim Van Den Bossche. Their work appears in journals such as Nucleic Acids Research, Nature, Database, Microbial Genomics and Cell Genomics.
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.