C R Taylor

58 total papers · 3.4k total citations
41 papers, 2.6k citations indexed

About

C R Taylor is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, C R Taylor has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Surgery. Recurrent topics in C R Taylor's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Molecular Biology Techniques and Applications (6 papers) and T-cell and B-cell Immunology (4 papers). C R Taylor is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Molecular Biology Techniques and Applications (6 papers) and T-cell and B-cell Immunology (4 papers). C R Taylor collaborates with scholars based in United States, United Kingdom and Argentina. C R Taylor's co-authors include D Y Mason, John M. Burns, Richard J. Côté, Lillian Young, Shan Shi, F M Hofman, Robert L. Modlin, Shan‐Rong Shi, Thomas H. Rea and Gary D. Grossfeld and has published in prestigious journals such as Neuron, The Journal of Immunology and JNCI Journal of the National Cancer Institute.

In The Last Decade

C R Taylor

40 papers receiving 2.3k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
C R Taylor 924 483 459 356 305 41 2.6k
C Schlüter 893 1.0× 610 1.3× 758 1.7× 297 0.8× 289 0.9× 35 2.6k
C. R. Taylor 843 0.9× 500 1.0× 409 0.9× 409 1.1× 170 0.6× 44 2.2k
J. Hürlimann 522 0.6× 532 1.1× 440 1.0× 373 1.0× 235 0.8× 60 2.1k
Marc E. Key 1.6k 1.7× 861 1.8× 526 1.1× 338 0.9× 203 0.7× 31 3.2k
G Gabbiani 956 1.0× 259 0.5× 322 0.7× 576 1.6× 325 1.1× 63 2.8k
Danièle Brouty‐Boyé 907 1.0× 838 1.7× 1.2k 2.6× 289 0.8× 287 0.9× 70 3.0k
Yoshikazu Tsuzuki 842 0.9× 434 0.9× 514 1.1× 323 0.9× 227 0.7× 78 2.3k
G. W. H. Stamp 942 1.0× 719 1.5× 686 1.5× 559 1.6× 128 0.4× 52 2.5k
P. H. K. Jap 1.7k 1.9× 377 0.8× 459 1.0× 257 0.7× 176 0.6× 83 3.6k
Ian P. Hayward 954 1.0× 479 1.0× 1.2k 2.5× 262 0.7× 405 1.3× 32 3.3k

Countries citing papers authored by C R Taylor

Since Specialization
Citations

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

Fields of papers citing papers by C R Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C R Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of C R Taylor. A scholar is included among the top collaborators of C R Taylor 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 C R Taylor. C R Taylor 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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2026