Craig Zwickl

29 total papers · 1.2k total citations
18 papers, 444 citations indexed

About

Craig Zwickl is a scholar working on Small Animals, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Craig Zwickl has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Small Animals, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Craig Zwickl's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Trace Elements in Health (3 papers) and Computational Drug Discovery Methods (3 papers). Craig Zwickl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Trace Elements in Health (3 papers) and Computational Drug Discovery Methods (3 papers). Craig Zwickl collaborates with scholars based in United States, Italy and Germany. Craig Zwickl's co-authors include Pamela J. Fraker, R. W. Luecke, Holly W. Smith, P J Fraker, Daniel Wierda, Peter H. Bick, Robert A. Jolly, Kausar Begam Riaz Ahmed, Vijay K. Gombar and I. J. Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Journal of Nutrition.

In The Last Decade

Craig Zwickl

18 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Craig Zwickl 181 102 82 63 56 18 444
Junko Matsubara 161 0.9× 63 0.6× 25 0.3× 144 2.3× 61 1.1× 34 443
Penny Jones 158 0.9× 82 0.8× 121 1.5× 14 0.2× 26 0.5× 10 422
Daryl C. Thake 24 0.1× 75 0.7× 85 1.0× 85 1.3× 14 0.3× 19 487
Mohamed Slaoui 28 0.2× 91 0.9× 58 0.7× 31 0.5× 23 0.4× 11 462
Yu‐Hung Lin 54 0.3× 195 1.9× 55 0.7× 28 0.4× 7 0.1× 20 458
Lars Kaiser 40 0.2× 171 1.7× 21 0.3× 48 0.8× 12 0.2× 28 379
P H Duncan 48 0.3× 74 0.7× 32 0.4× 30 0.5× 9 0.2× 13 389
Robert S. Pekarek 165 0.9× 68 0.7× 27 0.3× 57 0.9× 10 0.2× 11 390
Shweta Kumari 49 0.3× 125 1.2× 42 0.5× 3 0.0× 13 0.2× 37 450
James W. Crissman 21 0.1× 72 0.7× 80 1.0× 114 1.8× 19 0.3× 16 444

Countries citing papers authored by Craig Zwickl

Since Specialization
Citations

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

Fields of papers citing papers by Craig Zwickl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Zwickl

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Zwickl. A scholar is included among the top collaborators of Craig Zwickl 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 Craig Zwickl. Craig Zwickl 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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