Daniel G. Quinn

29 total papers · 879 total citations
24 papers, 764 citations indexed

About

Daniel G. Quinn is a scholar working on Immunology, Epidemiology and Genetics. According to data from OpenAlex, Daniel G. Quinn has authored 24 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 6 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Daniel G. Quinn's work include Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers) and Immune Response and Inflammation (3 papers). Daniel G. Quinn is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers) and Immune Response and Inflammation (3 papers). Daniel G. Quinn collaborates with scholars based in United States, United Kingdom and Ireland. Daniel G. Quinn's co-authors include Jeffrey A. Frelinger, Allan Zajac, Elizabeth J. Kovacs, Luisa A. DiPietro, Donald N. Cook, Quentin Low, Barrett J. Rollins, Cris Kamperschroer, M. Matsui and Lynda Tussey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and The Journal of Immunology.

In The Last Decade

Daniel G. Quinn

23 papers receiving 749 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 G. Quinn 420 164 126 118 75 24 764
A Paul 364 0.9× 357 2.2× 92 0.7× 47 0.4× 77 1.0× 24 835
Ernst R. Waelti 132 0.3× 187 1.1× 153 1.2× 64 0.5× 63 0.8× 30 663
Claudia Roberts 184 0.4× 105 0.6× 176 1.4× 116 1.0× 182 2.4× 31 834
C. Barrault 172 0.4× 219 1.3× 57 0.5× 151 1.3× 76 1.0× 22 698
Akinori Kusumi 459 1.1× 134 0.8× 70 0.6× 31 0.3× 99 1.3× 20 903
Angeliki Datsi 328 0.8× 204 1.2× 74 0.6× 29 0.2× 97 1.3× 17 809
Jinhee Lee 251 0.6× 291 1.8× 86 0.7× 33 0.3× 96 1.3× 29 836
Shizuko Kagawa 172 0.4× 333 2.0× 93 0.7× 68 0.6× 151 2.0× 47 883
Yue Shen 145 0.3× 243 1.5× 65 0.5× 177 1.5× 86 1.1× 23 855
Rachel M. Kratofil 267 0.6× 187 1.1× 114 0.9× 37 0.3× 49 0.7× 15 681

Countries citing papers authored by Daniel G. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Quinn

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