Mark E. Snow

1.4k citations
25 papers · 1.2k · h-index 14

Impact in

    • Antimicrobial Peptides and Activities
  • Pollution top 5%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Mark E. Snow

24 papers receiving 1.1k citations

Peers

Mark E. Snow
Comparison fields: 5 of 116
  • Microbiology 130
  • Pollution 157
  • Organic Chemistry 348
  • Molecular Medicine 57
  • Molecular Biology 704
Replace Anil Mistry with:
Anil Mistry United States
Martin G. Smyth United Kingdom
Rainer Riedl Switzerland
Mark A. Seefeld United States
Bernhard Ellinger Germany
Andrej Perdih Slovenia
Gunther H. Kern United States
Nina A. Brunner Germany
Jared B. J. Milbank United States
Isamu Matsunaga Japan
Mark E. Snow relative to Anil Mistry United States Anil Mistry's profile →
Citations per field
00.5×2×3×3.6×
Anil Mistry · 1×
Citations per year

Countries citing papers authored by Mark E. Snow

Since Specialization
Citations

This map shows the geographic impact of Mark E. Snow'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 Mark E. Snow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Snow more than expected).

Fields of papers citing papers by Mark E. Snow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Snow. 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 Mark E. Snow. The network helps show where Mark E. Snow may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark E. Snow, 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 Mark E. Snow Line = papers co-authored together Mark E. Snow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999460
2 1991105
3 1997103
4 199692
5 198653
6 199752
7 200146
8 199846
9 199046
10 199741
11 199738
12 199729
13 199226
14 199521
15 198811
16 200410
17 19698
18 19937
19 19987
20 20026

About Mark E. Snow

Mark E. Snow is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Developmental and Educational Psychology and Microbiology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Behavioral and Psychological Studies (3 papers), Glycosylation and Glycoproteins Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Microbiology (130 citations), Pollution (157 citations), Organic Chemistry (348 citations), Molecular Medicine (57 citations) and Molecular Biology (704 citations). Mark E. Snow has collaborated with scholars based in United States. Frequent co-authors include John R. Rubin, Richard J. Heath, Debra R. Holland, Charles O. Rock, Timothy F. Havel, L. Mario Amzel, Gordon M. Crippen, Nathan P. Yumibe, C. John Blankley and Mitchell N. Cayen. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics and Journal of Computational 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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