Steven W. Muchmore

5.8k citations
49 papers · 4.6k indexed · 2 hit papers · h-index 26
Topics
Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (10 papers)Enzyme Structure and Function (7 papers)

In The Last Decade

Steven W. Muchmore

49 papers receiving 4.5k citations

Hit Papers

X-ray and NMR structure of human Bcl-xL, an inhibitor of ...1996202620062016199619972505007501000

Peers

Steven W. Muchmore
Comparison fields: 5 of 138
  • Molecular Biology 3.3k
  • Computational Theory and Mathematics 761
  • Immunology 514
  • Oncology 496
  • Genetics 491
Replace Curtis T. Keith with:
Curtis T. Keith United States
Douglas S. Auld United States
Chresten R. Søndergaard Ireland
Nadine Homeyer Germany
Michał Rostkowski Poland
Jörg Benz Switzerland
Robert S. McDowell United States
Daniel Martinez Molina Sweden
Wolfgang F. Bluhm United States
Adrian Whitty United States
Steven W. Muchmore relative to Curtis T. Keith United States Curtis T. Keith's profile →
Citations per field
00.5×1.5×2.3×
Curtis T. Keith · 1×
Citations per year

Countries citing papers authored by Steven W. Muchmore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Steven W. Muchmore

This figure shows the co-authorship network connecting the top 25 collaborators of Steven W. Muchmore. A scholar is included among the top collaborators of Steven W. Muchmore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven W. Muchmore. Steven W. Muchmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 108
2 7
3 2
4 254
5 97
6 121
7 25
8 23
9 62
10 21
11 277
12 12
13 54
14 104
15 9
16 13
17 92
18 10
19 158
20 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) and Enzyme Structure and Function (7 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.

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