Deepti J Kundu
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
- Molecular Biology Techniques and Applications 2
- Machine Learning in Bioinformatics 1
- Metabolomics and Mass Spectrometry Studies 1
- Cell Biology top 5%
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 6
- Aging top 5%
- Immunology top 5%
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- Genomics and Rare Diseases 1
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- Research Data Management Practices 1
- Co-authors
- Juan Antonio VizcaínoYasset Pérez‐RiverolShengbo WangAnanth PrakashSelvakumar KamatchinathanChakradhar BandlaSuresh HewapathiranaMathias Walzer
- Journals
- Nucleic Acids Research (3 papers)PLoS Computational Biology (1 paper)Journal of Proteome Research (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Deepti J Kundu
7 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.7k
- Cell Biology 456
- Spectroscopy 452
- Aging 43
- Immunology 473
Countries citing papers authored by Deepti J Kundu
This map shows the geographic impact of Deepti J Kundu'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 Deepti J Kundu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti J Kundu more than expected).
Fields of papers citing papers by Deepti J Kundu
This network shows the impact of papers produced by Deepti J Kundu. 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 Deepti J Kundu. The network helps show where Deepti J Kundu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepti J Kundu, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | The PRIDE database at 20 years: 2025 updatebreakdown → | 2024 | 375 |
| 4 | 2024 | 8 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 37 | |
| 9 | The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidencesbreakdown → | 2021 | 3918 |
About Deepti J Kundu
Deepti J Kundu is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 9 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Rare Diseases (1 paper), Machine Learning in Bioinformatics (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Molecular Biology (2.7k citations), Cell Biology (456 citations) and Spectroscopy (452 citations). Deepti J Kundu has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Juan Antonio Vizcaíno, Yasset Pérez‐Riverol, Shengbo Wang, Ananth Prakash, Selvakumar Kamatchinathan, Chakradhar Bandla, Suresh Hewapathirana, Mathias Walzer, Jingwen Bai and Alvis Brāzma. Their work appears in journals such as Nucleic Acids Research, PLoS Computational Biology and Journal of Proteome Research.
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.