Jeff Wereszczynski

102 total papers · 1.5k total citations
45 papers, 1.0k citations indexed

About

Jeff Wereszczynski is a scholar working on Molecular Biology, Cell Biology and Microbiology. According to data from OpenAlex, Jeff Wereszczynski has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Microbiology. Recurrent topics in Jeff Wereszczynski's work include DNA and Nucleic Acid Chemistry (13 papers), RNA and protein synthesis mechanisms (10 papers) and Protein Structure and Dynamics (10 papers). Jeff Wereszczynski is often cited by papers focused on DNA and Nucleic Acid Chemistry (13 papers), RNA and protein synthesis mechanisms (10 papers) and Protein Structure and Dynamics (10 papers). Jeff Wereszczynski collaborates with scholars based in United States, United Kingdom and Germany. Jeff Wereszczynski's co-authors include Samuel Bowerman, Robert Clubb, J. Andrew McCammon, Ioan Andricioaei, Catherine A. Musselman, Emma A. Morrison, Alex W. Jacobitz, Karolin Luger, Mohammad Alwarawrah and Joseph Clayton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jeff Wereszczynski

44 papers receiving 997 citations

Author Peers

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

Author Last Decade Papers Cites
Jeff Wereszczynski 867 87 63 58 58 45 1.0k
Josep A. Pérez-Pons 832 1.0× 55 0.6× 42 0.7× 59 1.0× 74 1.3× 27 1.1k
Charles E. Dahl 621 0.7× 108 1.2× 73 1.2× 42 0.7× 51 0.9× 29 1.1k
Jean Robert Brisson 752 0.9× 137 1.6× 74 1.2× 34 0.6× 52 0.9× 18 992
Maria Andreasen 579 0.7× 75 0.9× 75 1.2× 52 0.9× 19 0.3× 33 1.1k
Philip A. Gurnev 743 0.9× 76 0.9× 83 1.3× 101 1.7× 89 1.5× 44 1.1k
Leslie E. Eisele 678 0.8× 73 0.8× 44 0.7× 108 1.9× 26 0.4× 37 1.1k
Jean‐François Chich 586 0.7× 88 1.0× 48 0.8× 47 0.8× 81 1.4× 32 876
Ding‐Kwo Chang 835 1.0× 42 0.5× 53 0.8× 66 1.1× 60 1.0× 47 1.1k
Lázaro Betancourt 523 0.6× 104 1.2× 48 0.8× 51 0.9× 30 0.5× 47 930
Sébastien Brier 607 0.7× 120 1.4× 171 2.7× 90 1.6× 45 0.8× 40 985

Countries citing papers authored by Jeff Wereszczynski

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Wereszczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Wereszczynski

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