Sudeep Pushpakom
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS drug development and treatment
Papers in
- Virology 5
- HIV Research and Treatment 5
-
- Pharmacogenetics and Drug Metabolism 5
- Co-authors
- Munir PirmohamedAndrew J. DoigKatherine J. EscottChristine J. McNameePhilippe SanséauAlan NorrisDavid CavallaShirley Hopper
- Journals
- Pharmacogenetics and Genomics (3 papers)British Journal of Clinical Pharmacology (2 papers)Diabetes and Vascular Disease Research (1 paper)Health Technology Assessment (1 paper)Blood (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Sudeep Pushpakom
25 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computational Theory and Mathematics 898
- Infectious Diseases 753
- Pharmacology 284
- Virology 109
- Molecular Biology 1.6k
Countries citing papers authored by Sudeep Pushpakom
This map shows the geographic impact of Sudeep Pushpakom'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 Sudeep Pushpakom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeep Pushpakom more than expected).
Fields of papers citing papers by Sudeep Pushpakom
This network shows the impact of papers produced by Sudeep Pushpakom. 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 Sudeep Pushpakom. The network helps show where Sudeep Pushpakom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sudeep Pushpakom, 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 | 1 | |
| 2 | 2022 | 11 | |
| 3 | 2021 | 13 | |
| 4 | Drug repurposing: progress, challenges and recommendations Hit paper breakdown → | 2018 | 2940 |
| 5 | 2018 | 4 | |
| 6 | 2016 | 4 | |
| 7 | 2015 | 7 | |
| 8 | 2013 | 24 | |
| 9 | 2013 | 4 | |
| 10 | 2012 | 189 | |
| 11 | 2012 | 52 | |
| 12 | 2011 | 82 | |
| 13 | 2011 | 31 | |
| 14 | 2010 | 53 | |
| 15 | 2010 | 7 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 87 | |
| 18 | 2010 | 15 | |
| 19 | Polymorphisms in COL15 gene are not associated with systemic sclerosis. | 2008 | 3 |
| 20 | 2007 | 21 |
About Sudeep Pushpakom
Sudeep Pushpakom is a scholar working on Virology, Pharmacology, Infectious Diseases, Emergency Medicine and Neurology, having authored 25 papers that have together received 3.7k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), HIV Research and Treatment (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), HIV-related health complications and treatments (5 papers), COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (898 citations), Infectious Diseases (753 citations), Pharmacology (284 citations), Virology (109 citations) and Molecular Biology (1.6k citations). Sudeep Pushpakom has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Munir Pirmohamed, Andrew J. Doig, Katherine J. Escott, Christine J. McNamee, Philippe Sanséau, Alan Norris, David Cavalla, Shirley Hopper, Tim Guilliams and Patrick A. Eyers. Their work appears in journals such as Pharmacogenetics and Genomics, British Journal of Clinical Pharmacology, Diabetes and Vascular Disease Research, Health Technology Assessment and Blood.
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.