Irwin D. Kuntz
Impact in
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods
- Molecular Biology top 0.1%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
-
- Computational Drug Discovery Methods 55
- Spectroscopy 49
- Mass Spectrometry Techniques and Applications 21
- Co-authors
- Brian K. ShoichetPeter A. KollmanTodd EwingWalter KauzmannElaine C. MengRobert LangridgeThomas E. FerrinJeffrey M. Blaney
- Journals
- Journal of the American Chemical Society (23 papers)Biochemistry (22 papers)Proteins Structure Function and Bioinformatics (15 papers)Journal of Computer-Aided Molecular Design (13 papers)Biopolymers (12 papers)
- Partner nations
- United StatesThailandJapan
In The Last Decade
Irwin D. Kuntz
221 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computational Theory and Mathematics 7.3k
- Molecular Biology 15.5k
- Spectroscopy 2.8k
- Organic Chemistry 3.3k
- Cell Biology 1.7k
Countries citing papers authored by Irwin D. Kuntz
This map shows the geographic impact of Irwin D. Kuntz'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 Irwin D. Kuntz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irwin D. Kuntz more than expected).
Fields of papers citing papers by Irwin D. Kuntz
This network shows the impact of papers produced by Irwin D. Kuntz. 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 Irwin D. Kuntz. The network helps show where Irwin D. Kuntz may publish in the future.
Co-authors
The 25 scholars most cited alongside Irwin D. Kuntz, 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 | 2005 | 6 | |
| 2 | 2005 | 8 | |
| 3 | 2003 | 17 | |
| 4 | 2002 | 69 | |
| 5 | 2001 | 50 | |
| 6 | 1999 | 1 | |
| 7 | 1999 | 117 | |
| 8 | 1999 | 4 | |
| 9 | 1999 | 232 | |
| 10 | 1998 | 48 | |
| 11 | 1996 | 91 | |
| 12 | 1996 | 116 | |
| 13 | 1995 | 48 | |
| 14 | 1992 | 56 | |
| 15 | 1992 | 24 | |
| 16 | 1991 | 112 | |
| 17 | 1988 | 25 | |
| 18 | 1979 | 74 | |
| 19 | 1979 | 122 | |
| 20 | 1977 | 12 |
About Irwin D. Kuntz
Irwin D. Kuntz is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Cell Biology and Virology, having authored 224 papers that have together received 22.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (78 papers), Computational Drug Discovery Methods (55 papers), Enzyme Structure and Function (45 papers), Chemical Synthesis and Analysis (26 papers), Mass Spectrometry Techniques and Applications (21 papers), RNA and protein synthesis mechanisms (18 papers), DNA and Nucleic Acid Chemistry (18 papers) and HIV/AIDS drug development and treatment (15 papers). The work is most often cited by research in Computational Theory and Mathematics (7.3k citations), Molecular Biology (15.5k citations), Spectroscopy (2.8k citations), Organic Chemistry (3.3k citations) and Cell Biology (1.7k citations). Irwin D. Kuntz has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include Brian K. Shoichet, Peter A. Kollman, Todd Ewing, Walter Kauzmann, Elaine C. Meng, Robert Langridge, Thomas E. Ferrin, Jeffrey M. Blaney, Natasja Brooijmans and Stuart J. Oatley. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry, Proteins Structure Function and Bioinformatics, Journal of Computer-Aided Molecular Design and Biopolymers.
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.