Chad Crain

3.2k total citations · 2 hit papers
7 papers, 2.6k citations indexed

About

Chad Crain is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Chad Crain has authored 7 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Ecology. Recurrent topics in Chad Crain's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Chad Crain is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Chad Crain collaborates with scholars based in United States, France and Netherlands. Chad Crain's co-authors include Anne O’Garra, André Boonstra, Franck J. Barrat, Huub F. J. Savelkoul, Victoria L. Heath, René de Waal Malefyt, Catherine M. Hawrylowicz, J. Daniel, Robert L. Coffman and David F. Richards and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and European Journal of Immunology.

In The Last Decade

Chad Crain

7 papers receiving 2.5k citations

Hit Papers

In Vitro Generation of Interleukin 10–producing Regulator... 2001 2026 2009 2017 2002 2001 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chad Crain United States 6 1.5k 904 330 325 283 7 2.6k
Guido Heine Germany 23 674 0.5× 686 0.8× 342 1.0× 248 0.8× 106 0.4× 57 1.8k
Fiona Burke United Kingdom 12 669 0.5× 721 0.8× 132 0.4× 305 0.9× 168 0.6× 19 1.5k
Nadia Giarratana Italy 15 765 0.5× 687 0.8× 191 0.6× 250 0.8× 82 0.3× 20 1.7k
Ute Laggner United Kingdom 11 925 0.6× 420 0.5× 233 0.7× 137 0.4× 160 0.6× 15 1.6k
Yehuda Shoenfeld Israel 23 918 0.6× 524 0.6× 122 0.4× 131 0.4× 94 0.3× 64 2.5k
Anete Sevciovic Grumach Brazil 26 1.1k 0.8× 467 0.5× 155 0.5× 384 1.2× 96 0.3× 136 2.6k
Emmanuel Xystrakis United Kingdom 16 802 0.5× 522 0.6× 575 1.7× 162 0.5× 113 0.4× 21 1.7k
WF Rigby United States 9 566 0.4× 694 0.8× 140 0.4× 162 0.5× 148 0.5× 11 1.4k
Nabih I. Abdou United States 34 1.7k 1.2× 243 0.3× 295 0.9× 106 0.3× 345 1.2× 107 3.6k
Jørgen Agnholt Denmark 28 676 0.5× 637 0.7× 173 0.5× 289 0.9× 239 0.8× 77 2.5k

Countries citing papers authored by Chad Crain

Since Specialization
Citations

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

Fields of papers citing papers by Chad Crain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Crain

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

All Works

7 of 7 papers shown
1.
Crain, Chad, Judith Owiti, Brett Austin, et al.. (2021). Application of ddPCR for detection of Enterococcus spp. in coastal water quality monitoring. Journal of Microbiological Methods. 184. 106206–106206. 4 indexed citations
2.
Crain, Chad, et al.. (2004). Chk1 is Essential for Tumor Cell Viability Following Activation of the Replication Checkpoint. Cell Cycle. 4(1). 131–139. 96 indexed citations
3.
Boonstra, André, Carine Asselin‐Paturel, Michel Gilliet, et al.. (2003). Flexibility of Mouse Classical and Plasmacytoid-derived Dendritic Cells in Directing T Helper Type 1 and 2 Cell Development. The Journal of Experimental Medicine. 197(1). 101–109. 460 indexed citations
4.
Barrat, Franck J., J. Daniel, André Boonstra, et al.. (2002). In Vitro Generation of Interleukin 10–producing Regulatory CD4+ T Cells Is Induced by Immunosuppressive Drugs and Inhibited by T Helper Type 1 (Th1)– and Th2-inducing Cytokines. The Journal of Experimental Medicine. 195(5). 603–616. 928 indexed citations breakdown →
5.
Boonstra, André, Franck J. Barrat, Chad Crain, et al.. (2001). 1α,25-Dihydroxyvitamin D3 Has a Direct Effect on Naive CD4+ T Cells to Enhance the Development of Th2 Cells. The Journal of Immunology. 167(9). 4974–4980. 915 indexed citations breakdown →
6.
Heath, Victoria L., Louise C. Showe, Chad Crain, et al.. (2000). Cutting Edge: Ectopic Expression of the IL-12 Receptor-β2 in Developing and Committed Th2 Cells Does Not Affect the Production of IL-4 or Induce the Production of IFN-γ. The Journal of Immunology. 164(6). 2861–2865. 37 indexed citations
7.
Heath, Victoria L., Erin E. Murphy, Chad Crain, Michael G. Tomlinson, & Anne O’Garra. (2000). TGF-β1 down-regulates Th2 development and results in decreased IL-4-induced STAT6 activation and GATA-3 expression. European Journal of Immunology. 30(9). 2639–2649. 139 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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