John R. Teijaro

12.2k total citations · 6 hit papers
84 papers, 6.5k citations indexed

About

John R. Teijaro is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, John R. Teijaro has authored 84 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 24 papers in Epidemiology and 22 papers in Molecular Biology. Recurrent topics in John R. Teijaro's work include Immune Cell Function and Interaction (32 papers), interferon and immune responses (20 papers) and Immune Response and Inflammation (18 papers). John R. Teijaro is often cited by papers focused on Immune Cell Function and Interaction (32 papers), interferon and immune responses (20 papers) and Immune Response and Inflammation (18 papers). John R. Teijaro collaborates with scholars based in United States, Germany and China. John R. Teijaro's co-authors include Donna L. Färber, Michael B. A. Oldstone, Kevin B. Walsh, Hugh Rosen, Damian Turner, Juan Carlos de la Torre, Daniel Fremgen, Megan J. Welch, Brian M. Sullivan and E. John Wherry and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John R. Teijaro

81 papers receiving 6.4k citations

Hit Papers

Proteome-wide covalent ligand discovery in native biologi... 2011 2026 2016 2021 2016 2013 2011 2021 2021 200 400 600

Peers

John R. Teijaro
Steven L. Spitalnik United States
Bellur S. Prabhakar United States
Betsy Barnes United States
Amos Cohen Canada
David A. Ostrov United States
Steven L. Spitalnik United States
John R. Teijaro
Citations per year, relative to John R. Teijaro John R. Teijaro (= 1×) peers Steven L. Spitalnik

Countries citing papers authored by John R. Teijaro

Since Specialization
Citations

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

Fields of papers citing papers by John R. Teijaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Teijaro. 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 John R. Teijaro. The network helps show where John R. Teijaro may publish in the future.

Co-authorship network of co-authors of John R. Teijaro

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Teijaro. A scholar is included among the top collaborators of John R. Teijaro 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 John R. Teijaro. John R. Teijaro 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.
Teijaro, John R., et al.. (2026). Beyond suppression: the paradox of JAK inhibitors as amplifiers of cancer immunotherapy. Nature reviews. Immunology.
2.
Žák, Jaroslav, Wenjian Wang, Ke Qin, et al.. (2024). Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy. Cancer Immunology Research. 13(1). 47–65. 7 indexed citations
3.
Žák, Jaroslav, Brett S. Marro, Kristi Marquardt, et al.. (2024). JAK inhibition enhances checkpoint blockade immunotherapy in patients with Hodgkin lymphoma. Science. 384(6702). eade8520–eade8520. 77 indexed citations breakdown →
4.
Wang, Yu, Zhengyuan Pang, Min Huang, et al.. (2022). HYBRiD: hydrogel-reinforced DISCO for clearing mammalian bodies. Nature Methods. 19(4). 479–485. 32 indexed citations
5.
Rimann, Ivo, Rosana González‐Quintial, Roberto Baccalà, et al.. (2022). The solute carrier SLC15A4 is required for optimal trafficking of nucleic acid–sensing TLRs and ligands to endolysosomes. Proceedings of the National Academy of Sciences. 119(14). e2200544119–e2200544119. 28 indexed citations
6.
Žák, Jaroslav, et al.. (2022). B cell–derived IL-27 promotes control of persistent LCMV infection. Proceedings of the National Academy of Sciences. 119(3). 20 indexed citations
7.
Huang, Zhe, Seung Goo Kang, Yunqiao Li, et al.. (2021). IFNAR1 signaling in NK cells promotes persistent virus infection. Science Advances. 7(13). 12 indexed citations
8.
Cheng, Yu‐Ting, Lindsay A. Hohsfield, Ricardo Miramontes, et al.. (2021). Microglia Do Not Restrict SARS-CoV-2 Replication following Infection of the Central Nervous System of K18-Human ACE2 Transgenic Mice. Journal of Virology. 96(4). e0196921–e0196921. 17 indexed citations
9.
Han, Zhen, Peter Thuy-Boun, Wayne Pfeiffer, et al.. (2021). Identification of an N-acetylneuraminic acid-presenting bacteria isolated from a human microbiome. Scientific Reports. 11(1). 4763–4763. 21 indexed citations
10.
Huang, Zhe, Jaroslav Žák, Namir Shaabani, et al.. (2019). IL-27 promotes the expansion of self-renewing CD8+ T cells in persistent viral infection. The Journal of Experimental Medicine. 216(8). 1791–1808. 45 indexed citations
11.
Zaro, Balyn W., Ekaterina V. Vinogradova, Daniel C. Lazar, et al.. (2019). Dimethyl Fumarate Disrupts Human Innate Immune Signaling by Targeting the IRAK4–MyD88 Complex. The Journal of Immunology. 202(9). 2737–2746. 46 indexed citations
12.
Teijaro, John R., Sean Studer, Nora B. Leaf, et al.. (2016). S1PR1-mediated IFNAR1 degradation modulates plasmacytoid dendritic cell interferon-α autoamplification. Proceedings of the National Academy of Sciences. 113(5). 1351–1356. 52 indexed citations
13.
Teijaro, John R., Cherie Ng, Andrew M. Lee, et al.. (2013). Persistent LCMV Infection Is Controlled by Blockade of Type I Interferon Signaling. Science. 340(6129). 207–211. 583 indexed citations breakdown →
14.
Welch, Megan J., John R. Teijaro, Hanna Lewicki, Marco Colonna, & Michael B. A. Oldstone. (2012). CD8 T cell defect of TNF-α and IL-2 in DNAM-1 deficient mice delays clearance in vivo of a persistent virus infection. Virology. 429(2). 163–170. 23 indexed citations
15.
Oldstone, Michael B. A., John R. Teijaro, Kevin B. Walsh, & Hugh Rosen. (2012). Dissecting influenza virus pathogenesis uncovers a novel chemical approach to combat the infection. Virology. 435(1). 92–101. 45 indexed citations
16.
Walsh, Kevin B., John R. Teijaro, Peter R. Wilker, et al.. (2011). Suppression of cytokine storm with a sphingosine analog provides protection against pathogenic influenza virus. Proceedings of the National Academy of Sciences. 108(29). 12018–12023. 195 indexed citations
17.
Nhu, Quan M., Kari Ann Shirey, John R. Teijaro, et al.. (2009). Novel signaling interactions between proteinase-activated receptor 2 and Toll-like receptors in vitro and in vivo. Mucosal Immunology. 3(1). 29–39. 131 indexed citations
18.
Chandran, Smita S., David Verhoeven, John R. Teijaro, Matthew J. Fenton, & Donna L. Färber. (2009). TLR2 Engagement on Dendritic Cells Promotes High Frequency Effector and Memory CD4 T Cell Responses. The Journal of Immunology. 183(12). 7832–7841. 32 indexed citations
19.
Casares, Sofía, Marvin Lin, Nan Zhang, et al.. (2008). A Peptide-Major Histocompatibility Complex II Chimera Favors Survival of Pancreatic β-Ιslets Grafted in Type 1 Diabetic Mice. Transplantation. 85(12). 1717–1725. 5 indexed citations
20.
Teijaro, John R., Deepa S. Patke, Adam W. Bingaman, et al.. (2006). Control of Memory CD4 T Cell Recall by the CD28/B7 Costimulatory Pathway. The Journal of Immunology. 177(11). 7698–7706. 112 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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