John Perrino

21 total papers · 3.2k total citations
14 papers, 2.5k citations indexed

About

John Perrino is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Perrino has authored 14 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Perrino's work include Herpesvirus Infections and Treatments (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Cellular transport and secretion (2 papers). John Perrino is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Cellular transport and secretion (2 papers). John Perrino collaborates with scholars based in United States, Canada and Germany. John Perrino's co-authors include Lydia‐Marie Joubert, Ai Leen Koh, Yongming Sun, Yuzhang Li, Kai Yan, Yi Cui, Steven Chu, Benjamin Butz, Allen Pei and Yanbin Li and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

John Perrino

14 papers receiving 2.5k citations

Hit Papers

Atomic structure of sensi... 2014 2026 2018 2022 2017 2014 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
John Perrino 1.1k 641 552 366 282 14 2.5k
Wesley Chang 1.4k 1.3× 469 0.7× 999 1.8× 28 0.1× 357 1.3× 46 3.3k
Benjamin D. Matthews 144 0.1× 207 0.3× 1.2k 2.1× 73 0.2× 521 1.8× 22 5.5k
Yu‐suke Torisawa 284 0.3× 293 0.5× 1.0k 1.8× 29 0.1× 373 1.3× 56 4.6k
Jihoon Ko 321 0.3× 127 0.2× 432 0.8× 108 0.3× 194 0.7× 52 2.4k
Jennie B. Leach 138 0.1× 112 0.2× 608 1.1× 179 0.5× 1.1k 3.8× 40 4.2k
Martin Montoya‐Zavala 114 0.1× 167 0.3× 714 1.3× 45 0.1× 345 1.2× 12 3.4k
Noo Li Jeon 498 0.4× 91 0.1× 461 0.8× 89 0.2× 317 1.1× 33 3.3k
Robert M. Raphael 124 0.1× 145 0.2× 879 1.6× 146 0.4× 109 0.4× 67 3.1k
James C. Bouwer 743 0.7× 315 0.5× 803 1.5× 15 0.0× 94 0.3× 37 2.0k
Šárka Kubinová 201 0.2× 51 0.1× 849 1.5× 137 0.4× 809 2.9× 89 3.9k

Countries citing papers authored by John Perrino

Since Specialization
Citations

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

Fields of papers citing papers by John Perrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Perrino

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