Susmita Datta
Impact in
- Molecular Biology top 5%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Biological Psychiatry top 10%
Papers in
- Genetics 29
- Genetic Mapping and Diversity in Plants and Animals 8
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- Gene expression and cancer classification 32
- Bioinformatics and Genomic Networks 23
- Gene Regulatory Network Analysis 9
- Single-cell and spatial transcriptomics 7
- Genomics and Phylogenetic Studies 7
- Metabolomics and Mass Spectrometry Studies 6
- Co-authors
- Somnath DattaVasyl PihurGuy BrockGerrit J. SchutMichael W. W. AdamsIra M. LonginiJonathan FlintNorman D. Henderson
- Journals
- Biology Direct (6 papers)BMC Bioinformatics (6 papers)Frontiers in Genetics (5 papers)Biometrics (4 papers)Bioinformatics (4 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Susmita Datta
97 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Molecular Biology 1.4k
- Biological Psychiatry 39
- Genetics 385
- Cancer Research 188
- Artificial Intelligence 351
Countries citing papers authored by Susmita Datta
This map shows the geographic impact of Susmita Datta'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 Susmita Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susmita Datta more than expected).
Fields of papers citing papers by Susmita Datta
This network shows the impact of papers produced by Susmita Datta. 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 Susmita Datta. The network helps show where Susmita Datta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susmita Datta, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 11 | |
| 15 | 2017 | 3 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 12 | |
| 18 | 2010 | 58 | |
| 19 | 2009 | 228 | |
| 20 | 2006 | 49 |
About Susmita Datta
Susmita Datta is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Geriatrics and Gerontology and Spectroscopy, having authored 107 papers that have together received 3.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (23 papers), Gene Regulatory Network Analysis (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biological Psychiatry (39 citations), Genetics (385 citations), Cancer Research (188 citations) and Artificial Intelligence (351 citations). Susmita Datta has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Somnath Datta, Vasyl Pihur, Guy Brock, Gerrit J. Schut, Michael W. W. Adams, Ira M. Longini, Jonathan Flint, Norman D. Henderson, Maria Grazia Turri and Alejandro R. Walker. Their work appears in journals such as Biology Direct, BMC Bioinformatics, Frontiers in Genetics, Biometrics and Bioinformatics.
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.