James M. Gardner

4.1k total citations · 1 hit paper
45 papers, 1.9k citations indexed

About

James M. Gardner is a scholar working on Immunology, Surgery and Genetics. According to data from OpenAlex, James M. Gardner has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 13 papers in Surgery and 11 papers in Genetics. Recurrent topics in James M. Gardner's work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (13 papers) and Diabetes and associated disorders (7 papers). James M. Gardner is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (13 papers) and Diabetes and associated disorders (7 papers). James M. Gardner collaborates with scholars based in United States, Australia and United Kingdom. James M. Gardner's co-authors include Mark S. Anderson, Kellsey Johannes, Howard Y. Chang, Jason DeVoss, Maureen A. Su, Marc Martínez‐Llordella, David von Schack, Bryan A. Anthony, Dan Davini and Daniel J. Kuster and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

James M. Gardner

39 papers receiving 1.9k citations

Hit Papers

Neuropilin-1 distinguishes natural and inducible regulato... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers

James M. Gardner
Robert S. Wildin United States
Ana Luisa Perdigoto United States
W J Murphy United States
Auke P. Verhaar Netherlands
B. R. Hawkins Hong Kong
James M. Gardner
Citations per year, relative to James M. Gardner James M. Gardner (= 1×) peers Kylie E. Webster

Countries citing papers authored by James M. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by James M. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. Gardner

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Gardner. A scholar is included among the top collaborators of James M. Gardner 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 M. Gardner. James M. Gardner 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.
Gaylord, Eliza A., Mariko H. Foecke, Bikem Soygur, et al.. (2025). Comparative analysis of human and mouse ovaries across age. Science. 390(6778). eadx0659–eadx0659.
2.
Sun, Im‐Hong, Anita Qualls, Jiaxi Wang, et al.. (2025). RORγt eTACs mediate oral tolerance and Treg induction. The Journal of Experimental Medicine. 222(8). 10 indexed citations
3.
Gillis-Buck, Eva Mae & James M. Gardner. (2024). Maternal-fetal microchimerism as a durable but finite and replaceable alloantigen reservoir. American Journal of Transplantation. 24(4). 512–513. 2 indexed citations
4.
Sun, Im‐Hong & James M. Gardner. (2024). uLIPSTIC: A universal tool for in vivo tracking of cellular interaction networks. American Journal of Transplantation. 24(7). 1098–1099. 2 indexed citations
5.
Zwick, Rachel K., Petr Kašpárek, Brisa Palikuqi, et al.. (2024). Epithelial zonation along the mouse and human small intestine defines five discrete metabolic domains. Nature Cell Biology. 26(2). 250–262. 22 indexed citations
6.
Winer, Benjamin Y., et al.. (2023). Dynamic encounters with red blood cells trigger splenic marginal zone B cell retention and function. Nature Immunology. 25(1). 142–154. 6 indexed citations
7.
Sun, Im‐Hong, Eva Mae Gillis-Buck, Tippi C. MacKenzie, & James M. Gardner. (2022). Thymic and extrathymic Aire‐expressing cells in maternal‐fetal tolerance*. Immunological Reviews. 308(1). 93–104. 4 indexed citations
8.
Roberts, John P., et al.. (2022). A novel microsurgical reconstruction technique in a living-related liver donor hepatic artery dissection using the native hepatic artery. American Journal of Transplantation. 22(10). 2467–2469.
9.
Meier, Raphaël, Yvonne Kelly, Seiji Yamaguchi, et al.. (2022). Advantages and Limitations of Clinical Scores for Donation After Circulatory Death Liver Transplantation. Frontiers in Surgery. 8. 808733–808733. 6 indexed citations
10.
Yamaguchi, Seiji, Neil Mehta, Hillary J. Braun, et al.. (2022). Nodular Regenerative Hyperplasia After Liver Transplant; It’s All in the Presentation. Frontiers in Surgery. 9. 876818–876818. 5 indexed citations
11.
Gillis-Buck, Eva Mae, Marina Sirota, Stephan Sanders, et al.. (2021). Extrathymic Aire -expressing cells support maternal-fetal tolerance. Science Immunology. 6(61). 19 indexed citations
12.
Bautista, Jhoanne L., Corey N. Miller, Jessica Chavez, et al.. (2021). Single-cell transcriptional profiling of human thymic stroma uncovers novel cellular heterogeneity in the thymic medulla. Nature Communications. 12(1). 1096–1096. 107 indexed citations
13.
Warshauer, Jeremy, Julia A. Belk, Alice Chan, et al.. (2021). A human mutation in STAT3 promotes type 1 diabetes through a defect in CD8+ T cell tolerance. The Journal of Experimental Medicine. 218(8). 33 indexed citations
14.
Wang, Jiaxi, Caleb A. Lareau, Jhoanne L. Bautista, et al.. (2021). Single-cell multiomics defines tolerogenic extrathymic Aire-expressing populations with unique homology to thymic epithelium. Science Immunology. 6(65). eabl5053–eabl5053. 43 indexed citations
15.
Gardner, James M., et al.. (2018). PARADOXICAL EMBOLISM FROM A THROMBUS STRADDLING A PATIENT FORAMEN OVALE. Journal of the American College of Cardiology. 71(11). A2442–A2442. 1 indexed citations
16.
Wisel, Steven A., James M. Gardner, Jack W. Harbell, et al.. (2017). Pancreas-After-Islet Transplantation in Nonuremic Type 1 Diabetes: A Strategy for Restoring Durable Insulin Independence. American Journal of Transplantation. 17(9). 2444–2450. 12 indexed citations
17.
Metzger, Todd C., Imran S. Khan, James M. Gardner, et al.. (2013). Lineage Tracing and Cell Ablation Identify a Post-Aire-Expressing Thymic Epithelial Cell Population. Cell Reports. 5(1). 166–179. 94 indexed citations
18.
Gardner, James M., Todd C. Metzger, Eileen McMahon, et al.. (2013). Extrathymic Aire-Expressing Cells Are a Distinct Bone Marrow-Derived Population that Induce Functional Inactivation of CD4+ T Cells. Immunity. 39(3). 560–572. 110 indexed citations
19.
Gardner, James M., Jason DeVoss, Rachel S. Friedman, et al.. (2008). Deletional Tolerance Mediated by Extrathymic Aire-Expressing Cells. Science. 321(5890). 843–847. 360 indexed citations
20.
Lewinsohn, David, et al.. (2003). Mycobacterium tuberculosis –specific CD8+ T Cells Preferentially Recognize Heavily Infected Cells. American Journal of Respiratory and Critical Care Medicine. 168(11). 1346–1352. 116 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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