Cory Reynolds

1.5k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Cory Reynolds is a scholar working on Immunology, Epidemiology and Surgery. According to data from OpenAlex, Cory Reynolds has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in Cory Reynolds's work include Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Cory Reynolds is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Cory Reynolds collaborates with scholars based in United States, Australia and United Kingdom. Cory Reynolds's co-authors include Paul G. Thomas, Peter C. Doherty, Jerry R. Aldridge, Pradyot Dash, Richard J. Webby, Scott A. Brown, Mohamed Lamkanfi, Thirumala‐Devi Kanneganti, William J. Martin and Ali H. Ellebedy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Immunity.

In The Last Decade

Cory Reynolds

8 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Intracellular Sensor NLRP3 Mediates Key Innate and Healing Responses to Influenza A Virus via the Regulation of Caspase-1

2009 617 citations Paul G. Thomas, Pradyot Dash et al. Immunity profile →

Peers

Cory Reynolds

IMMUN

MB

EPIDE

ID

ONCOL

Devon Livingston‐Rosanoff United States

Marie-Lise Gougeon France

Brianne R. Barker United States

Achille Broggi Italy

Yuichi Torii Japan

Justin P. Ingram United States

Casey Lewis United States

Paul Hakimpour United States

Leo Swadling United Kingdom

Yasuhiro Itsui Japan

Devon Livingston‐Rosanoff United States

Cory Reynolds

630 ×0.7

IMMUN

787 ×1.6

MB

325 ×0.7

EPIDE

139 ×1.0

ID

134 ×1.5

ONCOL

Citations per year, relative to Cory Reynolds Cory Reynolds (= 1×) peers Devon Livingston‐Rosanoff

Countries citing papers authored by Cory Reynolds

Since Specialization

Citations

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

Fields of papers citing papers by Cory Reynolds

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cory Reynolds. 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 Cory Reynolds. The network helps show where Cory Reynolds may publish in the future.

Co-authorship network of co-authors of Cory Reynolds

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Dash, Pradyot, Jennifer McClaren, Thomas H. Oguin, et al.. (2011). Paired analysis of TCR alpha and TCR beta chains at the single-cell level in mice. Journal of Clinical Investigation. 121(1). 8 indexed citations

2.

Thomas, Paul G., Scott A. Brown, Melissa Y. Morris, et al.. (2010). Physiological Numbers of CD4+ T Cells Generate Weak Recall Responses Following Influenza Virus Challenge. The Journal of Immunology. 184(4). 1721–1727. 24 indexed citations

3.

Dash, Pradyot, Jennifer McClaren, Thomas H. Oguin, et al.. (2010). Paired analysis of TCRα and TCRβ chains at the single-cell level in mice. Journal of Clinical Investigation. 121(1). 288–295. 159 indexed citations

4.

Thomas, Paul G., Pradyot Dash, Jerry R. Aldridge, et al.. (2009). The Intracellular Sensor NLRP3 Mediates Key Innate and Healing Responses to Influenza A Virus via the Regulation of Caspase-1. Immunity. 30(4). 566–575. 617 indexed citations breakdown →

5.

Aldridge, Jerry R., Carson E. Moseley, David A. Boltz, et al.. (2009). TNF/iNOS-producing dendritic cells are the necessary evil of lethal influenza virus infection. Proceedings of the National Academy of Sciences. 106(13). 5306–5311. 349 indexed citations

6.

Rutigliano, John A., Peter C. Doherty, John Franks, et al.. (2008). Screening monoclonal antibodies for cross-reactivity in the ferret model of influenza infection. Journal of Immunological Methods. 336(1). 71–77. 31 indexed citations

7.

Tak, Tahir, et al.. (2003). Current diagnosis and treatment of infective endocarditis. Expert Review of Anti-infective Therapy. 1(4). 639–654. 6 indexed citations

8.

Thom, Bridgette, et al.. (1989). The acquisition of antibiotic resistant coagulase-negative staphylococci by aortic graft recipients. Journal of Hospital Infection. 14(4). 313–323. 7 indexed citations

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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