James J. Moon

3.2k total citations · 2 hit papers
42 papers, 2.2k citations indexed

About

James J. Moon is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, James J. Moon has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 14 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in James J. Moon's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (10 papers). James J. Moon is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (10 papers). James J. Moon collaborates with scholars based in United States, Canada and South Korea. James J. Moon's co-authors include Yuchen Fan, Brad H. Nelson, Ramnik J. Xavier, Eric Brown, Damian R. Plichta, Daniel B. Graham, Natalie K. Wolf, Krystal L. Ching, Eduard Ansaldo and Gregory M. Barton and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

James J. Moon

36 papers receiving 2.1k citations

Hit Papers

A Wave of Regulatory T Cells into Neonatal Skin Mediates ... 2015 2026 2018 2022 2015 2019 100 200 300 400

Peers

James J. Moon
Georg Varga Germany
Jonathan L. Linehan United States
György Fejér United Kingdom
Raúl Elgueta United States
Stanleyson V. Hato Netherlands
Ben Roediger Australia
Jacques Deguine United States
Huizhong Xiong United States
Georg Varga Germany
James J. Moon
Citations per year, relative to James J. Moon James J. Moon (= 1×) peers Georg Varga

Countries citing papers authored by James J. Moon

Since Specialization
Citations

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

Fields of papers citing papers by James J. Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Moon. 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 James J. Moon. The network helps show where James J. Moon may publish in the future.

Co-authorship network of co-authors of James J. Moon

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

All Works

20 of 20 papers shown
1.
Nagashima, Kazuki, Aishan Zhao, Katayoon Atabakhsh, et al.. (2023). Mapping the T cell repertoire to a complex gut bacterial community. Nature. 621(7977). 162–170. 35 indexed citations
2.
Gribonika, Inta, Anneli Strömberg, Cristina Lebrero‐Fernández, et al.. (2022). Peyer’s patch T H 17 cells are dispensable for gut IgA responses to oral immunization. Science Immunology. 7(73). eabc5500–eabc5500. 13 indexed citations
3.
Nelson, Ryan, Yuezhou Chen, Olivia Venezia, et al.. (2022). SARS-CoV-2 epitope–specific CD4 + memory T cell responses across COVID-19 disease severity and antibody durability. Science Immunology. 7(73). eabl9464–eabl9464. 34 indexed citations
4.
Ham, Seokjin, Donald P. Lawrence, Justine V. Cohen, et al.. (2021). Rejection of benign melanocytic nevi by nevus-resident CD4 + T cells. Science Advances. 7(26). 9 indexed citations
5.
Smith, Neal P., Bert Ruiter, Yamini V. Virkud, et al.. (2021). Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals. JCI Insight. 6(13). 11 indexed citations
6.
Hanlon, Killian S., Adrienn Volak, Amine Meliani, et al.. (2020). In vivo engineering of lymphocytes after systemic exosome-associated AAV delivery. Scientific Reports. 10(1). 4544–4544. 25 indexed citations
7.
Faustino, Lucas, Jason W. Griffith, Rod A. Rahimi, et al.. (2020). Interleukin-33 activates regulatory T cells to suppress innate γδ T cell responses in the lung. Nature Immunology. 21(11). 1371–1383. 76 indexed citations
8.
Li, Hao, Iannis E. Adamopoulos, Vaishali R. Moulton, et al.. (2020). Systemic lupus erythematosus favors the generation of IL-17 producing double negative T cells. Nature Communications. 11(1). 2859–2859. 71 indexed citations
9.
Lebel, Marie‐Ève, et al.. (2020). Differential expression of tissue-restricted antigens among mTEC is associated with distinct autoreactive T cell fates. Nature Communications. 11(1). 3734–3734. 14 indexed citations
10.
Zhang, Zimeng, François Legoux, Spencer Vaughan, & James J. Moon. (2019). Opposing peripheral fates of tissue‐restricted self antigen‐specific conventional and regulatory CD4 + T cells. European Journal of Immunology. 50(1). 63–72. 4 indexed citations
11.
Mahajan, Vinay S., Ezana Demissie, Sudha Kumari, et al.. (2019). DOCK2 Sets the Threshold for Entry into the Virtual Memory CD8+ T Cell Compartment by Negatively Regulating Tonic TCR Triggering. The Journal of Immunology. 204(1). 49–57. 9 indexed citations
12.
Yadava, Koshika, Carlos Medina, Heather D. Ishak, et al.. (2019). Natural Tr1-like cells do not confer long-term tolerogenic memory. eLife. 8. 5 indexed citations
13.
Ansaldo, Eduard, Krystal L. Ching, Meghan A. Koch, et al.. (2019). Akkermansia muciniphila induces intestinal adaptive immune responses during homeostasis. Science. 364(6446). 1179–1184. 397 indexed citations breakdown →
14.
Vandersarren, Lana, Cédric Bosteels, Manon Vanheerswynghels, et al.. (2017). Epitope mapping and kinetics of CD4 T cell immunity to pneumonia virus of mice in the C57BL/6 strain. Scientific Reports. 7(1). 3472–3472. 2 indexed citations
15.
Zhao, Qing, Stacey N. Harbour, Raivo Kolde, et al.. (2017). Selective Induction of Homeostatic Th17 Cells in the Murine Intestine by Cholera Toxin Interacting with the Microbiota. The Journal of Immunology. 199(1). 312–322. 15 indexed citations
16.
Patil, Sarita U., Adebola O. Ogunniyi, Agustin Calatroni, et al.. (2015). Peanut oral immunotherapy transiently expands circulating Ara h 2–specific B cells with a homologous repertoire in unrelated subjects. Journal of Allergy and Clinical Immunology. 136(1). 125–134.e12. 92 indexed citations
17.
Scharschmidt, Tiffany C., Kimberly S. Vasquez, Hong-An Truong, et al.. (2015). A Wave of Regulatory T Cells into Neonatal Skin Mediates Tolerance to Commensal Microbes. Immunity. 43(5). 1011–1021. 404 indexed citations breakdown →
18.
Legoux, François & James J. Moon. (2012). Immune ignorance of a commensal bacterial antigen by endogenous antigen-specific CD4+ T cells in the gut. (49.14). The Journal of Immunology. 188(1_Supplement). 49.14–49.14. 1 indexed citations
19.
McLachlan, James B., Drew M. Catron, James J. Moon, & Marc K. Jenkins. (2009). Dendritic cell antigen presentation drives simultaneous cytokine production by effector and regulatory T cells in inflamed skin (78.24). The Journal of Immunology. 182(Supplement_1). 78.24–78.24. 1 indexed citations
20.
Moon, James J. & Brad H. Nelson. (2001). Phosphatidylinositol 3-Kinase Potentiates, but Does Not Trigger, T Cell Proliferation Mediated by the IL-2 Receptor. The Journal of Immunology. 167(5). 2714–2723. 44 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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