Steven W. Muchmore
- Molecular Biology top 2%
- Protein Structure and Dynamics 10
- Biochemical and Molecular Research 3
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 11
- Immunology top 5%
- Toxicology top 5%
- Pharmacology top 5%
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- Enzyme Structure and Function 7
- Crystallization and Solubility Studies 3
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- Analytical Chemistry and Chromatography 3
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- HIV/AIDS drug development and treatment 3
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- Click Chemistry and Applications 3
- Co-authors
- Scott P. BrownStephen W. FesikCraig B. ThompsonHeng LiangJohn E. HarlanShi‐Chung NgRobert MeadowsMichael Sattler
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Steven W. Muchmore
49 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 3.3k
- Computational Theory and Mathematics 761
- Immunology 514
- Toxicology 71
- Pharmacology 323
Countries citing papers authored by Steven W. Muchmore
This map shows the geographic impact of Steven W. Muchmore'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 Steven W. Muchmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven W. Muchmore more than expected).
Fields of papers citing papers by Steven W. Muchmore
This network shows the impact of papers produced by Steven W. Muchmore. 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 Steven W. Muchmore. The network helps show where Steven W. Muchmore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven W. Muchmore, 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 | 2015 | 108 | |
| 2 | 2013 | 7 | |
| 3 | 2011 | 2 | |
| 4 | 2010 | 254 | |
| 5 | 2009 | 97 | |
| 6 | 2008 | 121 | |
| 7 | 2006 | 25 | |
| 8 | 2006 | 23 | |
| 9 | 2006 | 62 | |
| 10 | 2004 | 21 | |
| 11 | 2003 | 277 | |
| 12 | 2003 | 12 | |
| 13 | 2000 | 54 | |
| 14 | 2000 | 104 | |
| 15 | 1999 | 9 | |
| 16 | 1998 | 13 | |
| 17 | 1996 | 92 | |
| 18 | 1992 | 10 | |
| 19 | 1989 | 158 | |
| 20 | 1988 | 41 |
About Steven W. Muchmore
Steven W. Muchmore is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 49 papers that have together received 4.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (7 papers), Analytical Chemistry and Chromatography (3 papers), Biochemical and Molecular Research (3 papers), Crystallization and Solubility Studies (3 papers), HIV/AIDS drug development and treatment (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Computational Theory and Mathematics (761 citations) and Immunology (514 citations). Steven W. Muchmore has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Scott P. Brown, Stephen W. Fesik, Craig B. Thompson, Heng Liang, John E. Harlan, Shi‐Chung Ng, Robert Meadows, Michael Sattler, David G. Nettesheim and Brian S. Chang. Their work appears in journals such as Nature, Science 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.