William R. Cannon

4.8k total citations · 2 hit papers
87 papers, 3.4k citations indexed

About

William R. Cannon is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, William R. Cannon has authored 87 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 21 papers in Spectroscopy and 15 papers in Materials Chemistry. Recurrent topics in William R. Cannon's work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (16 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). William R. Cannon is often cited by papers focused on Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (16 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). William R. Cannon collaborates with scholars based in United States, Netherlands and Italy. William R. Cannon's co-authors include John B. Wachtman, M. John Matthewson, Stephen J. Benkovic, S.C. Danforth, J. S. Haggerty, Junichiro Mizusaki, H. Kent Bowen, Robert A. Marra, Tadashi Sasamoto and J. Andrew McCammon and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

William R. Cannon

82 papers receiving 3.3k citations

Hit Papers

Mechanical Properties of Ceramics 2009 2026 2014 2020 2009 2019 100 200 300 400 500

Peers

William R. Cannon
Comparison fields: 5 of 177
  • Materials Chemistry 1.2k
  • Molecular Biology 848
  • Ceramics and Composites 558
  • Mechanical Engineering 470
  • Biomedical Engineering 460
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Citations per field, relative to William R. Cannon
William R. Cannon · 1×
Citations per year, relative to William R. Cannon
William R. Cannon · 1×

Countries citing papers authored by William R. Cannon

Since Specialization
Citations

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

Fields of papers citing papers by William R. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Cannon. 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 William R. Cannon. The network helps show where William R. Cannon may publish in the future.

Co-authorship network of co-authors of William R. Cannon

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Cannon. A scholar is included among the top collaborators of William R. Cannon 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 William R. Cannon. William R. Cannon 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
# Work Indexed citations
1 1
2 3
3 3
4 50
5 1
6
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences breakdown →
405
7 74
8 13
9 26
10 4
11 1
12 28
13 1
14 24
15
Peptide identification via constrained multi-objective optimization: Pareto-based genetic algorithms: Research Articles
0
16
De Novo Analysis of Tandem Mass Spectrometry Data as a Non-Deterministic Optimization Problem.
0
17 141
18 3
19
An automatic video tracking system
3
20
A pre-prototype real-time video tracking system
1

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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