John R. Cutt

13 total papers · 1.2k total citations
12 papers, 881 citations indexed

About

John R. Cutt is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, John R. Cutt has authored 12 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in John R. Cutt's work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Virus-based gene therapy research (6 papers) and Plant-Microbe Interactions and Immunity (3 papers). John R. Cutt is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (6 papers), Virus-based gene therapy research (6 papers) and Plant-Microbe Interactions and Immunity (3 papers). John R. Cutt collaborates with scholars based in United States, Australia and Switzerland. John R. Cutt's co-authors include Thomas Shenk, Donald N. Halbert, Daniel F. Klessig, Leah Lipsich, Joan S. Brugge, Patrick Hearing, John P. Carr, Jacek Hennig, Ralph E. Dewey and Pamela Dunsmuir and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

John R. Cutt

12 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
John R. Cutt 617 498 240 177 85 12 881
Jean de Villiers 617 1.0× 340 0.7× 217 0.9× 344 1.9× 48 0.6× 8 1.0k
Lucie Karayan 525 0.9× 426 0.9× 56 0.2× 337 1.9× 92 1.1× 8 733
P. Kitts 600 1.0× 338 0.7× 45 0.2× 98 0.6× 75 0.9× 9 756
Jacqueline S. Miller 669 1.1× 385 0.8× 80 0.3× 132 0.7× 67 0.8× 15 935
P. W. Roelvink 749 1.2× 681 1.4× 51 0.2× 346 2.0× 94 1.1× 10 919
Binie Klein 621 1.0× 228 0.5× 105 0.4× 147 0.8× 39 0.5× 24 869
J.S. Ryerse 502 0.8× 342 0.7× 61 0.3× 120 0.7× 103 1.2× 23 824
Antonio Talavera 436 0.7× 236 0.5× 109 0.5× 56 0.3× 67 0.8× 18 839
Roger Weil 438 0.7× 177 0.4× 161 0.7× 350 2.0× 42 0.5× 24 763
T. A. Webster 711 1.2× 375 0.8× 103 0.4× 182 1.0× 29 0.3× 11 1.0k

Countries citing papers authored by John R. Cutt

Since Specialization
Citations

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

Fields of papers citing papers by John R. Cutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Cutt

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Cutt. A scholar is included among the top collaborators of John R. Cutt 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 John R. Cutt. John R. Cutt 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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