Christopher M. Harpur

28 total papers · 2.1k total citations
20 papers, 511 citations indexed

About

Christopher M. Harpur is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Christopher M. Harpur has authored 20 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 9 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Christopher M. Harpur's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (7 papers) and Influenza Virus Research Studies (5 papers). Christopher M. Harpur is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (7 papers) and Influenza Virus Research Studies (5 papers). Christopher M. Harpur collaborates with scholars based in Australia, United States and United Kingdom. Christopher M. Harpur's co-authors include Andrëw G. Brööks, Jamie Rossjohn, Jacqueline Widjaja, Jie Lin, Michelle D. Tate, Craig S. Clements, J.P. Vivian, Lucy C. Sullivan, Ashley Mansell and Sarah Rosli and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Christopher M. Harpur

20 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher M. Harpur 391 120 77 54 41 20 511
Cinzia Zanotti 283 0.7× 110 0.9× 71 0.9× 69 1.3× 57 1.4× 23 500
Geertje H. A. Westerlaken 349 0.9× 108 0.9× 106 1.4× 25 0.5× 61 1.5× 21 484
N Carpentier 253 0.6× 74 0.6× 88 1.1× 48 0.9× 34 0.8× 17 482
Eriko Yamada 295 0.8× 98 0.8× 64 0.8× 40 0.7× 17 0.4× 19 551
J. Schwartz 296 0.8× 94 0.8× 103 1.3× 43 0.8× 62 1.5× 27 561
Curtis L. Gabriel 237 0.6× 149 1.2× 107 1.4× 43 0.8× 65 1.6× 20 518
Venugopal Gangur 223 0.6× 57 0.5× 64 0.8× 79 1.5× 18 0.4× 23 506
Stephanie S. Cush 293 0.7× 169 1.4× 60 0.8× 105 1.9× 50 1.2× 11 514
Aurelia Busca 163 0.4× 132 1.1× 114 1.5× 47 0.9× 48 1.2× 21 455
Sun Ziyong 334 0.9× 74 0.6× 50 0.6× 113 2.1× 77 1.9× 21 476

Countries citing papers authored by Christopher M. Harpur

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Harpur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Harpur. 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 Christopher M. Harpur. The network helps show where Christopher M. Harpur may publish in the future.

Co-authorship network of co-authors of Christopher M. Harpur

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Harpur. A scholar is included among the top collaborators of Christopher M. Harpur 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 Christopher M. Harpur. Christopher M. Harpur 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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