Shauna Dauphinee

23 total papers · 1.0k total citations
18 papers, 810 citations indexed

About

Shauna Dauphinee is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Shauna Dauphinee has authored 18 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Shauna Dauphinee's work include Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (4 papers) and interferon and immune responses (4 papers). Shauna Dauphinee is often cited by papers focused on Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (4 papers) and interferon and immune responses (4 papers). Shauna Dauphinee collaborates with scholars based in Canada, United States and Japan. Shauna Dauphinee's co-authors include Aly Karsan, Catherine K.L. Too, Masahiro Yamamoto, Rachel Zhande, James A. Thomas, Shizuo Akira, Danielle Malo, Marilène Paquet, Megan Fuller and Fred Wong and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Shauna Dauphinee

17 papers receiving 802 citations

Author Peers

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

Author Last Decade Papers Cites
Shauna Dauphinee 373 350 112 83 66 18 810
Valerie F. Curtis 314 0.8× 379 1.1× 170 1.5× 84 1.0× 72 1.1× 15 846
Hisae Karahashi 406 1.1× 292 0.8× 118 1.1× 114 1.4× 48 0.7× 17 870
Jason Saredy 363 1.0× 407 1.2× 75 0.7× 107 1.3× 73 1.1× 22 1.0k
Ruiqing Wu 348 0.9× 343 1.0× 84 0.8× 82 1.0× 77 1.2× 19 923
Jong Seong Roh 384 1.0× 370 1.1× 62 0.6× 114 1.4× 72 1.1× 19 983
Man K.S. Lee 300 0.8× 360 1.0× 71 0.6× 103 1.2× 71 1.1× 27 826
Lars Hareng 301 0.8× 386 1.1× 70 0.6× 92 1.1× 49 0.7× 22 1.0k
Naoe Kaneko 226 0.6× 319 0.9× 71 0.6× 77 0.9× 80 1.2× 18 734
Walter J. Bruyninckx 353 0.9× 373 1.1× 148 1.3× 57 0.7× 87 1.3× 21 948
Aneta Hromada‐Judycka 314 0.8× 369 1.1× 81 0.7× 87 1.0× 69 1.0× 17 849

Countries citing papers authored by Shauna Dauphinee

Since Specialization
Citations

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

Fields of papers citing papers by Shauna Dauphinee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shauna Dauphinee

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