Bernard Munos
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pharmaceutical Economics and Policy 10
- Health Systems, Economic Evaluations, Quality of Life 2
- Innovation Policy and R&D 1
-
- Biotechnology and Related Fields 7
- Co-authors
- Steven M. Paul (1 shared paper)Aaron L. Schacht (1 shared paper)Daniel S. Mytelka (1 shared paper)Christopher T. Dunwiddie (1 shared paper)Stacy Lindborg (1 shared paper)William W. Chin (2 shared papers)Pei Wang (1 shared paper)Brian M. Bot (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (3 papers)Science Translational Medicine (3 papers)Clinical Pharmacology & Therapeutics (2 papers)Drug Resistance Updates (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Bernard Munos
12 papers receiving 3.6k citations
Bernard Munos's Hit Papers
Peers
Comparison fields: 5 of 168
- Computational Theory and Mathematics 1.1k
- Pharmacology 278
- Management of Technology and Innovation 235
- Economics and Econometrics 808
- Applied Microbiology and Biotechnology 43
Countries citing papers authored by Bernard Munos
This map shows the geographic impact of Bernard Munos'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 Bernard Munos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Munos more than expected).
Fields of papers citing papers by Bernard Munos
This network shows the impact of papers produced by Bernard Munos. 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 Bernard Munos. The network helps show where Bernard Munos may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard Munos, 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 | How to improve R&D productivity: the pharmaceutical industry's grand challenge Hit paper breakdown → | 2010 | 2601 |
| 2 | Lessons from 60 years of pharmaceutical innovation Hit paper breakdown → | 2009 | 898 |
| 3 | 2016 | 81 | |
| 4 | 2006 | 76 | |
| 5 | 2011 | 72 | |
| 6 | 2011 | 58 | |
| 7 | 2010 | 47 | |
| 8 | 2020 | 37 | |
| 9 | 2009 | 30 | |
| 10 | 2013 | 15 | |
| 11 | 2016 | 8 | |
| 12 | 2015 | 2 |
About Bernard Munos
Bernard Munos is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health, Immunology, Reproductive Medicine and Information Systems, having authored 12 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (10 papers), Biotechnology and Related Fields (7 papers), Biosimilars and Bioanalytical Methods (3 papers), Science, Research, and Medicine (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Intellectual Property and Patents (1 paper), Pharmaceutical industry and healthcare (1 paper) and Innovation Policy and R&D (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Pharmacology (278 citations), Management of Technology and Innovation (235 citations), Economics and Econometrics (808 citations) and Applied Microbiology and Biotechnology (43 citations). Bernard Munos has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Steven M. Paul, Aaron L. Schacht, Daniel S. Mytelka, Christopher T. Dunwiddie, Stacy Lindborg, William W. Chin, Pei Wang, Brian M. Bot, John J. Mastrototaro and Veena Misra. Their work appears in journals such as Nature Reviews Drug Discovery, Science Translational Medicine, Clinical Pharmacology & Therapeutics, Drug Resistance Updates and Annals of the New York Academy of Sciences.
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.