Wayne J. Becktel

3.9k total citations · 2 hit papers
26 papers, 3.3k citations indexed

About

Wayne J. Becktel is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Wayne J. Becktel has authored 26 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Materials Chemistry and 6 papers in Ecology. Recurrent topics in Wayne J. Becktel's work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (13 papers) and Chemical Synthesis and Analysis (5 papers). Wayne J. Becktel is often cited by papers focused on Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (13 papers) and Chemical Synthesis and Analysis (5 papers). Wayne J. Becktel collaborates with scholars based in United States and Japan. Wayne J. Becktel's co-authors include Brian W. Matthews, John A. Schellman, H. Nicholson, David E. Anderson, Frederick W. Dahlquist, Masazumi Matsumura, Walter A. Baase, Masaru Matsumura, Malcolm H. Levitt and Ronald Wetzel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

Wayne J. Becktel

25 papers receiving 3.2k citations

Hit Papers

Protein stability curves 1987 2026 2000 2013 1987 1987 250 500 750

Peers

Wayne J. Becktel
Comparison fields: 5 of 117
  • Molecular Biology 2.8k
  • Materials Chemistry 1.4k
  • Spectroscopy 287
  • Cell Biology 286
  • Biotechnology 267
Replace W.A. Baase with:
W.A. Baase United States
Katsuhide Yutani Japan
Roger H. Pain United Kingdom
Walter A. Baase United States
David P. Goldenberg United States
L.H. Weaver United States
J.N. Jansonius Switzerland
C. Barberato Brazil
Stephen J. Benkovic United States
Ken Nishikawa Japan
W.A. Baase United States View profile →
Citations per field, relative to Wayne J. Becktel
Wayne J. Becktel · 1×
Citations per year, relative to Wayne J. Becktel
Wayne J. Becktel · 1×

Countries citing papers authored by Wayne J. Becktel

Since Specialization
Citations

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

Fields of papers citing papers by Wayne J. Becktel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne J. Becktel. 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 Wayne J. Becktel. The network helps show where Wayne J. Becktel may publish in the future.

Co-authorship network of co-authors of Wayne J. Becktel

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne J. Becktel. A scholar is included among the top collaborators of Wayne J. Becktel 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 Wayne J. Becktel. Wayne J. Becktel 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 28
2 1
3 15
4 4
5 9
6 11
7 22
8 94
9 50
10 441
11 213
12 315
13 244
14
Protein stability curves breakdown →
856
15 17
16 29
17 8
18 40
19 6
20 14

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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