V. Bansal
Impact in
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- Long-Term Effects of COVID-19
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 3
- RNA regulation and disease 2
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- Chromosomal and Genetic Variations 3
- Co-authors
- Manvendra Singh (3 shared papers)Cédric Feschotte (1 shared paper)Stefan Bonn (10 shared papers)Daniel Sumner Magruder (2 shared papers)Mohamed Marouf (1 shared paper)Christian F. Krebs (1 shared paper)Pierre Machart (1 shared paper)Rahul Deshmukh (1 shared paper)
- Journals
- PLoS Biology (3 papers)Nature Communications (2 papers)Journal of the American College of Cardiology (2 papers)PLoS ONE (2 papers)International Journal of Food Science & Technology (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
V. Bansal
38 papers receiving 815 citations
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 23
- Neurology 52
- Biophysics 35
- Infectious Diseases 113
- Neurology 92
Countries citing papers authored by V. Bansal
This map shows the geographic impact of V. Bansal'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 V. Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Bansal more than expected).
Fields of papers citing papers by V. Bansal
This network shows the impact of papers produced by V. Bansal. 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 V. Bansal. The network helps show where V. Bansal may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Bansal, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 175 | |
| 2 | 2020 | 135 | |
| 3 | 2016 | 77 | |
| 4 | 2018 | 58 | |
| 5 | 2017 | 44 | |
| 6 | 2021 | 42 | |
| 7 | 2019 | 41 | |
| 8 | 2013 | 32 | |
| 9 | 2017 | 23 | |
| 10 | 2014 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 10 | |
| 17 | A Simple Method for Interactive 3D Reconstruction, Camera Calibration from a Single View. | 2002 | 10 |
| 18 | 2017 | 10 | |
| 19 | 2014 | 9 | |
| 20 | 2024 | 9 |
About V. Bansal
V. Bansal is a scholar working on Molecular Biology, Plant Science, Food Science, Neurology and Nutrition and Dietetics, having authored 43 papers that have together received 820 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Food Science and Nutritional Studies (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Chromosomal and Genetic Variations (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Neurology (52 citations), Biophysics (35 citations), Infectious Diseases (113 citations) and Neurology (92 citations). V. Bansal has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Manvendra Singh, Cédric Feschotte, Stefan Bonn, Daniel Sumner Magruder, Mohamed Marouf, Christian F. Krebs, Pierre Machart, Rahul Deshmukh, Madhu Kaundal and Christoph Kilian. Their work appears in journals such as PLoS Biology, Nature Communications, Journal of the American College of Cardiology, PLoS ONE and International Journal of Food Science & Technology.
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.