John Badger
Impact in
- Structural Biology top 5%
-
- Computational Drug Discovery Methods
Papers in
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- Enzyme Structure and Function 34
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- Protein Structure and Dynamics 10
- RNA and protein synthesis mechanisms 2
- Phosphodiesterase function and regulation 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Donald L. D. Caspar (7 shared papers)Thomas J. Smith (5 shared papers)Michael George Rossmann (5 shared papers)Vicki L. Nienaber (9 shared papers)Iwona Minor (2 shared papers)Olga Gursky (3 shared papers)Vandana Sridhar (8 shared papers)Jörg Hendle (6 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (7 papers)Biophysical Journal (5 papers)Proceedings of the National Academy of Sciences (4 papers)SLAS DISCOVERY (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John Badger
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Structural Biology 27
- Computational Theory and Mathematics 193
- Materials Chemistry 464
- Molecular Biology 653
- Biochemistry 50
Countries citing papers authored by John Badger
This map shows the geographic impact of John Badger'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 John Badger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Badger more than expected).
Fields of papers citing papers by John Badger
This network shows the impact of papers produced by John Badger. 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 John Badger. The network helps show where John Badger may publish in the future.
Co-authors
The 25 scholars most cited alongside John Badger, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 213 | |
| 2 | 2004 | 175 | |
| 3 | 1988 | 170 | |
| 4 | 1989 | 115 | |
| 5 | 2002 | 68 | |
| 6 | 1991 | 60 | |
| 7 | 1992 | 60 | |
| 8 | 1991 | 59 | |
| 9 | 2014 | 57 | |
| 10 | 1986 | 55 | |
| 11 | 1989 | 49 | |
| 12 | 1992 | 38 | |
| 13 | 2010 | 38 | |
| 14 | 1993 | 32 | |
| 15 | 1989 | 31 | |
| 16 | 1999 | 30 | |
| 17 | 2013 | 27 | |
| 18 | 2016 | 27 | |
| 19 | 1989 | 26 | |
| 20 | 1997 | 23 |
About John Badger
John Badger is a scholar working on Materials Chemistry, Molecular Biology, Physical and Theoretical Chemistry, Cardiology and Cardiovascular Medicine and Inorganic Chemistry, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (34 papers), Protein Structure and Dynamics (10 papers), Viral Infections and Immunology Research (3 papers), RNA and protein synthesis mechanisms (2 papers), Respiratory viral infections research (2 papers), Crystal structures of chemical compounds (2 papers), Phosphodiesterase function and regulation (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Structural Biology (27 citations), Computational Theory and Mathematics (193 citations), Materials Chemistry (464 citations), Molecular Biology (653 citations) and Biochemistry (50 citations). John Badger has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Donald L. D. Caspar, Thomas J. Smith, Michael George Rossmann, Vicki L. Nienaber, Iwona Minor, Olga Gursky, Vandana Sridhar, Jörg Hendle, Marcia J. Kremer and Sriram Krishnaswamy. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biophysical Journal, Proceedings of the National Academy of Sciences, SLAS DISCOVERY and Journal of Biological Chemistry.
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.