Christopher T. Walsh
Impact in
- Pharmacology top 0.01%
- Microbial Natural Products and Biosynthesis
- Biotechnology top 0.01%
Papers in
- Pharmacology 261
- Microbial Natural Products and Biosynthesis 255
- Biochemistry 76
- Amino Acid Enzymes and Metabolism 65
- Co-authors
- Michael A. FischbachSylvie Garneau‐TsodikovaJon ClardyBrian K. HubbardGregory J. GattoFrédéric H. VaillancourtNeil L. KelleherChaitan Khosla
- Journals
- Biochemistry (199 papers)Journal of the American Chemical Society (89 papers)Proceedings of the National Academy of Sciences (61 papers)Journal of Biological Chemistry (59 papers)Nature (14 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Christopher T. Walsh
709 papers receiving 59.8k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Pharmacology 19.1k
- Biotechnology 5.5k
- Molecular Biology 39.0k
- Molecular Medicine 2.8k
- Biochemistry 3.4k
Countries citing papers authored by Christopher T. Walsh
This map shows the geographic impact of Christopher T. Walsh'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 Christopher T. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Walsh more than expected).
Fields of papers citing papers by Christopher T. Walsh
This network shows the impact of papers produced by Christopher T. Walsh. 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 Christopher T. Walsh. The network helps show where Christopher T. Walsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher T. Walsh, 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 | 2024 | 1 | |
| 2 | 2021 | 66 | |
| 3 | 2017 | 41 | |
| 4 | 2014 | 81 | |
| 5 | 2010 | 274 | |
| 6 | 2008 | 80 | |
| 7 | 2007 | 66 | |
| 8 | 2007 | 126 | |
| 9 | 2007 | 1 | |
| 10 | 2006 | 147 | |
| 11 | 2005 | 306 | |
| 12 | 2004 | 142 | |
| 13 | 2003 | 70 | |
| 14 | 2001 | 83 | |
| 15 | 1999 | 52 | |
| 16 | 1994 | 11 | |
| 17 | 1993 | 3 | |
| 18 | 1989 | 8 | |
| 19 | 1987 | 59 | |
| 20 | 1983 | 39 |
About Christopher T. Walsh
Christopher T. Walsh is a scholar working on Pharmacology, Biochemistry, Molecular Biology, Biotechnology and Molecular Medicine, having authored 718 papers that have together received 61.7k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (255 papers), Enzyme Structure and Function (91 papers), Biochemical and Molecular Research (68 papers), Amino Acid Enzymes and Metabolism (65 papers), Biochemical and Structural Characterization (64 papers), Carbohydrate Chemistry and Synthesis (63 papers), Chemical Synthesis and Analysis (62 papers) and Bacterial Genetics and Biotechnology (56 papers). The work is most often cited by research in Pharmacology (19.1k citations), Biotechnology (5.5k citations), Molecular Biology (39.0k citations), Molecular Medicine (2.8k citations) and Biochemistry (3.4k citations). Christopher T. Walsh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael A. Fischbach, Sylvie Garneau‐Tsodikova, Jon Clardy, Brian K. Hubbard, Gregory J. Gatto, Frédéric H. Vaillancourt, Neil L. Kelleher, Chaitan Khosla, J. Martin Bollinger and Danica Galonić Fujimori. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature.
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.