Christopher L. Reardon

691 total citations
19 papers, 456 citations indexed

About

Christopher L. Reardon is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Christopher L. Reardon has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Dermatology. Recurrent topics in Christopher L. Reardon's work include T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (10 papers). Christopher L. Reardon is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (10 papers). Christopher L. Reardon collaborates with scholars based in United States, Germany and South Korea. Christopher L. Reardon's co-authors include Willi K. Born, Rebecca L. O’Brien, David O. Lucas, Michaelann Vollmer, Kent Heyborne, Harshan Kalataradi, Yang‐Xin Fu, Donald Y.M. Leung, Joachim Saloga and Erwin W. Gelfand and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Investigative Dermatology.

In The Last Decade

Christopher L. Reardon

19 papers receiving 445 citations

Peers

Christopher L. Reardon
Comparison fields: 5 of 72
  • Immunology 326
  • Molecular Biology 56
  • Oncology 52
  • Epidemiology 36
  • Dermatology 34
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Tineke van der Pouw‐Kraan Netherlands
Katsuhiro Tomiyama Japan
Vladislava Paharkova-Vatchkova United States
Aysefa Doganci Germany
Julian M. Stark Sweden
Kenneth Lau United States
J. H. Robinson United Kingdom
G. Achatz Austria
Carlos Martínez-Alonso Spain
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Citations per field, relative to Christopher L. Reardon
Christopher L. Reardon · 1×
Citations per year, relative to Christopher L. Reardon
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Countries citing papers authored by Christopher L. Reardon

Since Specialization
Citations

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

Fields of papers citing papers by Christopher L. Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher L. Reardon

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher L. Reardon. A scholar is included among the top collaborators of Christopher L. Reardon 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 L. Reardon. Christopher L. Reardon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 1
3 2
4 144
5 3
6 28
7 2
8 22
9 45
10 6
11 17
12 7
13 41
14 31
15 4
16 29
17 62
18 9
19
Zinc and mercury activate different mouse t cells and macrophage function is required. Abstr.
1

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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