Rishi Bedi
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- Protein Structure and Dynamics 2
- vaccines and immunoinformatics approaches 1
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- Machine Learning in Materials Science 2
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- Computational Drug Discovery Methods 2
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- Machine Learning and Data Classification 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Influenza Virus Research Studies 1
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- Sparse and Compressive Sensing Techniques 1
- Co-authors
- Vui PhamAtul BediIvan BorrelloDavid SidranskyRajani RaviKimberly NoonanRanee MehraAlex Zhavoronkov
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Molecular Cancer Therapeutics (1 paper)Nature Communications (1 paper)Disability and Rehabilitation (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Rishi Bedi
10 papers receiving 365 citations
Peers
Comparison fields: 5 of 80
- Oncology 222
- Immunology 130
- Cancer Research 38
- Molecular Biology 153
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Rishi Bedi
This map shows the geographic impact of Rishi Bedi'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 Rishi Bedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishi Bedi more than expected).
Fields of papers citing papers by Rishi Bedi
This network shows the impact of papers produced by Rishi Bedi. 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 Rishi Bedi. The network helps show where Rishi Bedi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rishi Bedi, 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 | 2025 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 2 | |
| 5 | Generalizable Protein Interface Prediction with End-to-End Learning. | 2018 | 3 |
| 6 | 2018 | 250 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2012 | 59 | |
| 10 | 2010 | 9 |
About Rishi Bedi
Rishi Bedi is a scholar working on Software, Biophysics and Computational Theory and Mathematics, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers), Machine Learning and Data Classification (2 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Influenza Virus Research Studies (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Oncology (222 citations), Immunology (130 citations) and Cancer Research (38 citations). Rishi Bedi has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Vui Pham, Atul Bedi, Ivan Borrello, David Sidransky, Rajani Ravi, Kimberly Noonan, Ranee Mehra, Alex Zhavoronkov, Sridhar Nimmagadda and Artem V. Artemov. Their work appears in journals such as Molecular Cancer Therapeutics, Nature Communications, Disability and Rehabilitation, Cell and Patterns.
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.