Pete Gagnon

74 total papers · 1.6k total citations
50 papers, 1.3k citations indexed

About

Pete Gagnon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Pete Gagnon has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 32 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Spectroscopy. Recurrent topics in Pete Gagnon's work include Protein purification and stability (38 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Pete Gagnon is often cited by papers focused on Protein purification and stability (38 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Pete Gagnon collaborates with scholars based in Singapore, United States and China. Pete Gagnon's co-authors include Rui Nian, Jeremy Lee, Yuansheng Yang, Hui Theng Gan, Lihan Tan, Denise E. Leong, C W Cheung, Paul J. Yazaki, Aleš Štrancar and Vincent Vagenende and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Chromatography A and Applied Microbiology and Biotechnology.

In The Last Decade

Pete Gagnon

50 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Pete Gagnon 1.1k 701 201 140 113 50 1.3k
David J. Roush 918 0.8× 390 0.6× 257 1.3× 128 0.9× 181 1.6× 70 1.1k
Mark A. Schenerman 975 0.9× 394 0.6× 266 1.3× 81 0.6× 84 0.7× 29 1.6k
Reza Esfandiary 1.2k 1.1× 687 1.0× 198 1.0× 35 0.3× 116 1.0× 37 1.4k
Johan Rockberg 908 0.8× 528 0.8× 120 0.6× 105 0.8× 72 0.6× 54 1.3k
Jon Coffman 1.2k 1.1× 497 0.7× 461 2.3× 51 0.4× 177 1.6× 43 1.4k
C. Ronald Geyer 1.2k 1.1× 385 0.5× 130 0.6× 128 0.9× 29 0.3× 68 1.7k
Mike Hoare 1.0k 0.9× 236 0.3× 511 2.5× 128 0.9× 62 0.5× 67 1.5k
M. Ângela Taipa 1.0k 0.9× 492 0.7× 216 1.1× 82 0.6× 99 0.9× 42 1.3k
Kerry R. Love 1.4k 1.2× 199 0.3× 238 1.2× 111 0.8× 40 0.4× 47 1.6k
Berend Tolner 953 0.9× 393 0.6× 181 0.9× 274 2.0× 49 0.4× 50 1.8k

Countries citing papers authored by Pete Gagnon

Since Specialization
Citations

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

Fields of papers citing papers by Pete Gagnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Gagnon

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Gagnon. A scholar is included among the top collaborators of Pete Gagnon 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 Pete Gagnon. Pete Gagnon 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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2026