Steven W. Muchmore

5.8k citations
49 papers · 4.6k indexed · 2 hit papers · h-index 26

Steven W. Muchmore

49 papers receiving 4.5k citations

Hit Papers

Bcl-xL forms an ion channel in synthetic lipid membranes68219962026200620162505007501000

Peers

Steven W. Muchmore
Comparison fields: 5 of 138
  • Molecular Biology 3.3k
  • Computational Theory and Mathematics 761
  • Immunology 514
  • Toxicology 71
  • Pharmacology 323
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×
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

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.

Border = papers with Steven W. Muchmore Line = papers co-authored together Steven W. Muchmore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015108
2 20137
3 20112
4 2010254
5 200997
6 2008121
7 200625
8 200623
9 200662
10 200421
11 2003277
12 200312
13 200054
14 2000104
15 19999
16 199813
17 199692
18 199210
19 1989158
20 198841

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.

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