Stephen Cammer

765 citations
14 papers · 316 · h-index 9

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Computational Drug Discovery Methods

Papers in

    • Machine Learning in Bioinformatics 4
    • Protein Structure and Dynamics 4
    • Genetics, Bioinformatics, and Biomedical Research 3
    • RNA and protein synthesis mechanisms 3
    • vaccines and immunoinformatics approaches 2
    • Scientific Computing and Data Management 2

Stephen Cammer

10 papers receiving 308 citations

Peers

Stephen Cammer
Comparison fields: 5 of 64
  • Molecular Biology 262
  • Computational Theory and Mathematics 38
  • Animal Science and Zoology 18
  • Infectious Diseases 32
  • Materials Chemistry 73
Replace George Patargias with:
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Francis Gaudreault Canada
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Stephen Cammer relative to George Patargias United Kingdom George Patargias's profile →
Citations per field
00.5×1.5×2.3×
George Patargias · 1×
Citations per year

Countries citing papers authored by Stephen Cammer

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Cammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Cammer. 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 Stephen Cammer. The network helps show where Stephen Cammer may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200197
2 200344
3 200941
4 200336
5 201033
6 200321
7 200916
8 200712
9 200712
10 20004
11
A Project-Centric Course on Cyberinfrastructure to Support High School STEM Education
20130
12 20250
13 20200
14 20200

About Stephen Cammer

Stephen Cammer is a scholar working on Molecular Biology, Information Systems and Management, Biomedical Engineering, Materials Chemistry and Infectious Diseases, having authored 14 papers that have together received 316 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (2 papers), Scientific Computing and Data Management (2 papers), vaccines and immunoinformatics approaches (2 papers) and Biomedical and Engineering Education (2 papers). The work is most often cited by research in Molecular Biology (262 citations), Computational Theory and Mathematics (38 citations), Animal Science and Zoology (18 citations), Infectious Diseases (32 citations) and Materials Chemistry (73 citations). Stephen Cammer has collaborated with scholars based in United States and Russia. Frequent co-authors include Charles W. Carter, Alexander Tropsha, Marshall H. Edgell, Bruno Sobral, Susan C. Baker, Surendranath Baliji, Iosif I. Vaisman, Jacquelyn S. Fetrow, Jeffrey A. Speir and Stacy T. Knutson. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology, Nucleic Acids Research, Proteins Structure Function and Bioinformatics and Journal of Virology.

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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