Caitlin S. DeJong

885 total citations
9 papers, 723 citations indexed

About

Caitlin S. DeJong is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Caitlin S. DeJong has authored 9 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Infectious Diseases. Recurrent topics in Caitlin S. DeJong's work include Immune Cell Function and Interaction (3 papers), Reproductive System and Pregnancy (2 papers) and Viral Infections and Vectors (2 papers). Caitlin S. DeJong is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Reproductive System and Pregnancy (2 papers) and Viral Infections and Vectors (2 papers). Caitlin S. DeJong collaborates with scholars based in United States, Netherlands and Australia. Caitlin S. DeJong's co-authors include Steven L. Reiner, Arnob Banerjee, Felix Schambach, Scott M. Hammond, Andrew M. Intlekofer, Christopher A. Hunter, Scott M. Gordon, Tullia Lindsten, E. John Wherry and Naofumi Takemoto and has published in prestigious journals such as Science, Immunity and The Journal of Immunology.

In The Last Decade

Caitlin S. DeJong

8 papers receiving 706 citations

Author Peers

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

Author Last Decade Papers Cites
Caitlin S. DeJong 496 209 147 110 52 9 723
Charles H. Pletcher 364 0.7× 196 0.9× 67 0.5× 244 2.2× 42 0.8× 18 722
Tomonori Tsukahara 454 0.9× 258 1.2× 112 0.8× 139 1.3× 58 1.1× 23 766
Maria Yurchenko 253 0.5× 228 1.1× 76 0.5× 139 1.3× 96 1.8× 29 561
Jennifer Lynch 255 0.5× 207 1.0× 78 0.5× 79 0.7× 21 0.4× 10 533
Paula Wolf 842 1.7× 296 1.4× 132 0.9× 96 0.9× 85 1.6× 10 1.1k
Derek C. Rookhuizen 428 0.9× 261 1.2× 62 0.4× 91 0.8× 60 1.2× 8 618
Noelia Sánchez‐Sánchez 598 1.2× 198 0.9× 45 0.3× 207 1.9× 63 1.2× 8 825
Navpreet Tung 295 0.6× 443 2.1× 295 2.0× 93 0.8× 50 1.0× 8 751
Mamoru Fujiwara 328 0.7× 177 0.8× 76 0.5× 84 0.8× 70 1.3× 26 559
Daniela Werth 338 0.7× 246 1.2× 51 0.3× 221 2.0× 55 1.1× 12 659

Countries citing papers authored by Caitlin S. DeJong

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin S. DeJong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin S. DeJong. 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 Caitlin S. DeJong. The network helps show where Caitlin S. DeJong may publish in the future.

Co-authorship network of co-authors of Caitlin S. DeJong

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

All Works

9 of 9 papers shown
1.
Maurice, Nicholas J., Jami R. Erickson, Caitlin S. DeJong, et al.. (2025). Cytokine and metabolite networks shape T cell residency and functionality at the term human maternal-fetal interface. The Journal of Immunology. 214(9). 2221–2237.
2.
DeJong, Caitlin S., Darwin S. Dichmann, Cameron R. T. Exner, Yuxiao Xu, & Richard M. Harland. (2021). The atypical RNA-binding protein Taf15 regulates dorsoanterior neural development through diverse mechanisms in Xenopus tropicalis. Development. 148(15). 3 indexed citations
3.
DeJong, Caitlin S., Nicholas J. Maurice, Stephen A. McCartney, & Martin Prlic. (2020). Human Tissue-Resident Memory T Cells in the Maternal–Fetal Interface. Lost Soldiers or Special Forces?. Cells. 9(12). 2699–2699. 6 indexed citations
4.
DeJong, Caitlin S., et al.. (2017). Bacterial Detection and Differentiation via Direct Volatile Organic Compound Sensing with Surface Enhanced Raman Spectroscopy. ChemistrySelect. 2(27). 8431–8435. 19 indexed citations
5.
Chang, John T., Maria L. Ciocca, Ichiko Kinjyo, et al.. (2011). Asymmetric Proteasome Segregation as a Mechanism for Unequal Partitioning of the Transcription Factor T-bet during T Lymphocyte Division. Immunity. 34(4). 492–504. 141 indexed citations
6.
Banerjee, Arnob, Felix Schambach, Caitlin S. DeJong, Scott M. Hammond, & Steven L. Reiner. (2009). Micro‐RNA‐155 inhibits IFN‐γ signaling in CD4+ T cells. European Journal of Immunology. 40(1). 225–231. 213 indexed citations
7.
Intlekofer, Andrew M., Arnob Banerjee, Naofumi Takemoto, et al.. (2008). Anomalous Type 17 Response to Viral Infection by CD8 + T Cells Lacking T-bet and Eomesodermin. Science. 321(5887). 408–411. 317 indexed citations
8.
Wagner, Richard J., et al.. (1975). Isolations of California encephalitis virus from tundra mosquitoes. Canadian Journal of Microbiology. 21(4). 574–576. 11 indexed citations
9.
Wagner, Richard J., et al.. (1974). California encephalitis virus in Saskatchewan: isolation from boreal Aedes mosquitoes.. PubMed. 64(6). 590–4. 13 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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