Debarka Sengupta
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
-
- MicroRNA in disease regulation 7
- Cancer Genomics and Diagnostics 6
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- Single-cell and spatial transcriptomics 18
- Gene expression and cancer classification 7
- Co-authors
- Sanghamitra Bandyopadhyay (15 shared papers)Angshul Majumdar (6 shared papers)Aanchal Mongia (3 shared papers)Say Li Kong (3 shared papers)Clarinda Wei Ling Chua (1 shared paper)Huipeng Li (1 shared paper)Iain Beehuat Tan (1 shared paper)Lawrence JK Wee (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Bioinformatics (3 papers)IEEE Transactions on Computational Biology and Bioinformatics (2 papers)Journal of Computational Biology (2 papers)Molecular BioSystems (2 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Debarka Sengupta
59 papers receiving 2.2k citations
Debarka Sengupta's Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 542
- Sensory Systems 181
- Biophysics 127
- Oncology 478
- Molecular Biology 1.1k
Countries citing papers authored by Debarka Sengupta
This map shows the geographic impact of Debarka Sengupta'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 Debarka Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debarka Sengupta more than expected).
Fields of papers citing papers by Debarka Sengupta
This network shows the impact of papers produced by Debarka Sengupta. 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 Debarka Sengupta. The network helps show where Debarka Sengupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Debarka Sengupta, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors Hit paper breakdown → | 2017 | 829 |
| 2 | 2021 | 130 | |
| 3 | 2020 | 129 | |
| 4 | 2018 | 123 | |
| 5 | 2016 | 104 | |
| 6 | 2018 | 94 | |
| 7 | 2022 | 92 | |
| 8 | 2018 | 88 | |
| 9 | 2019 | 55 | |
| 10 | 2021 | 52 | |
| 11 | 2020 | 50 | |
| 12 | 2020 | 43 | |
| 13 | 2018 | 41 | |
| 14 | 2018 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2021 | 28 | |
| 17 | 2015 | 27 | |
| 18 | 2013 | 26 | |
| 19 | 2020 | 23 | |
| 20 | 2021 | 22 |
About Debarka Sengupta
Debarka Sengupta is a scholar working on Cancer Research, Molecular Biology, Sensory Systems, Biophysics and Artificial Intelligence, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Gene expression and cancer classification (7 papers), MicroRNA in disease regulation (7 papers), Cancer Genomics and Diagnostics (6 papers), Cell Image Analysis Techniques (6 papers), Olfactory and Sensory Function Studies (6 papers), Advanced Chemical Sensor Technologies (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Cancer Research (542 citations), Sensory Systems (181 citations), Biophysics (127 citations), Oncology (478 citations) and Molecular Biology (1.1k citations). Debarka Sengupta has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Sanghamitra Bandyopadhyay, Angshul Majumdar, Aanchal Mongia, Say Li Kong, Clarinda Wei Ling Chua, Huipeng Li, Iain Beehuat Tan, Lawrence JK Wee, Elise T. Courtois and Shyam Prabhakar. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, IEEE Transactions on Computational Biology and Bioinformatics, Journal of Computational Biology and Molecular BioSystems.
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.