Kevin L. Bicker

29 total papers · 2.1k total citations
21 papers, 1.1k citations indexed

About

Kevin L. Bicker is a scholar working on Molecular Biology, Microbiology and Infectious Diseases. According to data from OpenAlex, Kevin L. Bicker has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Microbiology and 6 papers in Infectious Diseases. Recurrent topics in Kevin L. Bicker's work include Antimicrobial Peptides and Activities (10 papers), Biochemical and Structural Characterization (6 papers) and Peptidase Inhibition and Analysis (6 papers). Kevin L. Bicker is often cited by papers focused on Antimicrobial Peptides and Activities (10 papers), Biochemical and Structural Characterization (6 papers) and Peptidase Inhibition and Analysis (6 papers). Kevin L. Bicker collaborates with scholars based in United States, France and United Kingdom. Kevin L. Bicker's co-authors include Paul R. Thompson, Venkataraman Subramanian, John J. Lavigne, Alexander A. Chumanevich, Lorne J. Hofseth, Steven L. Cobb, Scott A. Coonrod, Daniel J. Slade, C.J. Dreyton and Eddie A. James and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Communications.

In The Last Decade

Kevin L. Bicker

21 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin L. Bicker 652 369 168 154 142 21 1.1k
Josef Brüggen 775 1.2× 415 1.1× 205 1.2× 75 0.5× 82 0.6× 13 1.2k
Terra Potocky 549 0.8× 167 0.5× 145 0.9× 66 0.4× 148 1.0× 19 1.1k
David Farley 384 0.6× 149 0.4× 127 0.8× 286 1.9× 114 0.8× 17 969
Sherry A. Hudson 511 0.8× 812 2.2× 81 0.5× 293 1.9× 289 2.0× 32 1.4k
Jun‐ichi Mashimo 699 1.1× 297 0.8× 83 0.5× 55 0.4× 210 1.5× 25 1.1k
Thomas Flad 511 0.8× 356 1.0× 221 1.3× 68 0.4× 22 0.2× 25 1.0k
G. Jawahar Swaminathan 783 1.2× 293 0.8× 104 0.6× 56 0.4× 27 0.2× 29 1.2k
Brian Crain 258 0.4× 583 1.6× 169 1.0× 135 0.9× 67 0.5× 31 970
Mary S. Rosendahl 605 0.9× 209 0.6× 226 1.3× 19 0.1× 91 0.6× 27 1.2k
Svetlana Hamm 447 0.7× 764 2.1× 176 1.0× 134 0.9× 26 0.2× 25 1.2k

Countries citing papers authored by Kevin L. Bicker

Since Specialization
Citations

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

Fields of papers citing papers by Kevin L. Bicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin L. Bicker. 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 Kevin L. Bicker. The network helps show where Kevin L. Bicker may publish in the future.

Co-authorship network of co-authors of Kevin L. Bicker

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin L. Bicker. A scholar is included among the top collaborators of Kevin L. Bicker 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 Kevin L. Bicker. Kevin L. Bicker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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