Daniel J. Trepanier

32 total papers · 542 total citations
22 papers, 438 citations indexed

About

Daniel J. Trepanier is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Daniel J. Trepanier has authored 22 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Hepatology. Recurrent topics in Daniel J. Trepanier's work include Signaling Pathways in Disease (8 papers), Hepatitis B Virus Studies (7 papers) and Hepatitis C virus research (6 papers). Daniel J. Trepanier is often cited by papers focused on Signaling Pathways in Disease (8 papers), Hepatitis B Virus Studies (7 papers) and Hepatitis C virus research (6 papers). Daniel J. Trepanier collaborates with scholars based in Canada, United States and Sweden. Daniel J. Trepanier's co-authors include Randall W. Yatscoff, Robert T. Foster, Daren Ure, Donald F. LeGatt, Michael Bobardt, Philippe Gallay, Udayan Chatterji, R.J. Thibert, Patrick Mayo and Derrick G. Freitag and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Daniel J. Trepanier

22 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Trepanier 177 114 71 68 62 22 438
Carolin Pütter 96 0.5× 55 0.5× 43 0.6× 59 0.9× 11 0.2× 25 425
Marzia Mare 137 0.8× 65 0.6× 60 0.8× 70 1.0× 41 0.7× 30 439
M. Da Costa 84 0.5× 123 1.1× 131 1.8× 116 1.7× 26 0.4× 22 392
Stefanie Bertram 137 0.8× 164 1.4× 105 1.5× 84 1.2× 2 0.0× 28 486
Tadaki Yasumura 102 0.6× 38 0.3× 18 0.3× 115 1.7× 147 2.4× 27 419
Xiaojun Cai 142 0.8× 50 0.4× 10 0.1× 54 0.8× 45 0.7× 27 374
Lorenzo Signorini 92 0.5× 35 0.3× 19 0.3× 84 1.2× 86 1.4× 18 368
Pamela Zehr 65 0.4× 69 0.6× 18 0.3× 81 1.2× 70 1.1× 18 419
Shinichiro Goto 65 0.4× 101 0.9× 242 3.4× 195 2.9× 32 0.5× 30 459
Colm Farrell 110 0.6× 133 1.2× 19 0.3× 36 0.5× 11 0.2× 31 426

Countries citing papers authored by Daniel J. Trepanier

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Trepanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Trepanier. 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 Daniel J. Trepanier. The network helps show where Daniel J. Trepanier may publish in the future.

Co-authorship network of co-authors of Daniel J. Trepanier

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Trepanier. A scholar is included among the top collaborators of Daniel J. Trepanier 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 Daniel J. Trepanier. Daniel J. Trepanier 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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