Vivek Das
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 2
- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 2
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- Diabetes Treatment and Management 3
- Co-authors
- Biswapriya B. Misra (2 shared papers)S. Sahu (1 shared paper)Michał Krassowski (1 shared paper)Rajat K. De (4 shared papers)Saptarsi Goswami (1 shared paper)Pasquale Laise (2 shared papers)Giuseppe Testa (2 shared papers)Antonio Adamo (1 shared paper)
- Journals
- Frontiers in Neuroscience (1 paper)Plant Science (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Applied Intelligence (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesDenmarkIndia
In The Last Decade
Vivek Das
15 papers receiving 344 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 238
- Cancer Research 46
- Biological Psychiatry 5
- Biophysics 10
- Aging 3
Countries citing papers authored by Vivek Das
This map shows the geographic impact of Vivek Das'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 Vivek Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Das more than expected).
Fields of papers citing papers by Vivek Das
This network shows the impact of papers produced by Vivek Das. 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 Vivek Das. The network helps show where Vivek Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivek Das, 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 | 2020 | 196 | |
| 2 | 2020 | 40 | |
| 3 | 2016 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 19 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2024 | 0 |
About Vivek Das
Vivek Das is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Cancer Research, having authored 19 papers that have together received 352 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Diabetes Treatment and Management (3 papers), Epigenetics and DNA Methylation (2 papers), Bioinformatics and Genomic Networks (2 papers), Cancer-related molecular mechanisms research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Molecular Biology (238 citations), Cancer Research (46 citations), Biological Psychiatry (5 citations), Biophysics (10 citations) and Aging (3 citations). Vivek Das has collaborated with scholars based in United States, Denmark and India. Frequent co-authors include Biswapriya B. Misra, S. Sahu, Michał Krassowski, Rajat K. De, Saptarsi Goswami, Pasquale Laise, Giuseppe Testa, Antonio Adamo, Fabrizio Araniti and Alessandro Vitriolo. Their work appears in journals such as Frontiers in Neuroscience, Plant Science, American Journal of Physiology-Renal Physiology, Applied Intelligence and BMC 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.