Donald C. Reason

39 total papers · 879 total citations
34 papers, 724 citations indexed

About

Donald C. Reason is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Donald C. Reason has authored 34 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Immunology. Recurrent topics in Donald C. Reason's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (12 papers) and Peptidase Inhibition and Analysis (8 papers). Donald C. Reason is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (12 papers) and Peptidase Inhibition and Analysis (8 papers). Donald C. Reason collaborates with scholars based in United States, Japan and Canada. Donald C. Reason's co-authors include Alexander H. Lucas, Jianhui Zhou, Dan M. Granoff, Serena Giuntini, Stephen J. Barenkamp, Kathleen R. Lottenbach, Tobias Wagner, Wendy A. Keitel, James W. Larrick and Sylvia T. Singer and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Donald C. Reason

34 papers receiving 659 citations

Author Peers

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

Author Last Decade Papers Cites
Donald C. Reason 309 293 256 253 200 34 724
Heikki Sarvas 272 0.9× 205 0.7× 296 1.2× 237 0.9× 91 0.5× 36 778
Guangming Zhong 487 1.6× 183 0.6× 100 0.4× 229 0.9× 186 0.9× 18 829
Karl R. VanDerMeid 171 0.6× 189 0.6× 204 0.8× 116 0.5× 131 0.7× 27 834
Ronald D. Gorham 347 1.1× 70 0.2× 106 0.4× 281 1.1× 54 0.3× 32 692
Magdalena A. Berkowska 531 1.7× 113 0.4× 155 0.6× 183 0.7× 27 0.1× 28 832
Agnes E. Hamburger 261 0.8× 115 0.4× 121 0.5× 285 1.1× 35 0.2× 19 762
H. K. Hochkeppel 345 1.1× 190 0.6× 114 0.4× 269 1.1× 49 0.2× 29 828
Nicholas Roy Payne 308 1.0× 277 0.9× 77 0.3× 201 0.8× 45 0.2× 28 894
Devinder Sehgal 288 0.9× 96 0.3× 129 0.5× 266 1.1× 61 0.3× 34 704
J P Bouvet 414 1.3× 68 0.2× 255 1.0× 170 0.7× 36 0.2× 26 698

Countries citing papers authored by Donald C. Reason

Since Specialization
Citations

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

Fields of papers citing papers by Donald C. Reason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald C. Reason. 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 Donald C. Reason. The network helps show where Donald C. Reason may publish in the future.

Co-authorship network of co-authors of Donald C. Reason

This figure shows the co-authorship network connecting the top 25 collaborators of Donald C. Reason. A scholar is included among the top collaborators of Donald C. Reason 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 Donald C. Reason. Donald C. Reason 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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