Mark S. Anderson

28.5k total citations · 5 hit papers
162 papers, 11.1k citations indexed

About

Mark S. Anderson is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Mark S. Anderson has authored 162 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Immunology, 50 papers in Endocrinology, Diabetes and Metabolism and 49 papers in Genetics. Recurrent topics in Mark S. Anderson's work include T-cell and B-cell Immunology (65 papers), Immune Cell Function and Interaction (49 papers) and Diabetes and associated disorders (48 papers). Mark S. Anderson is often cited by papers focused on T-cell and B-cell Immunology (65 papers), Immune Cell Function and Interaction (49 papers) and Diabetes and associated disorders (48 papers). Mark S. Anderson collaborates with scholars based in United States, Australia and Germany. Mark S. Anderson's co-authors include Jeffrey A. Bluestone, Christophe Benoıst, Diane Mathis, Maureen A. Su, Stuart P. Berzins, Emily S. Venanzi, Zhibin Chen, Roderick T. Bronson, Harald von Boehmer and Shannon J. Turley and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mark S. Anderson

155 papers receiving 11.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Projection of an Immunological Self Shadow Within the Thymus by the Aire Protein

2002 1.7k citations Mark S. Anderson, Emily S. Venanzi et al. Science profile →
THE NOD MOUSE: A Model of Immune Dysregulation

2004 857 citations Mark S. Anderson, Jeffrey A. Bluestone profile →
Collateral Damage: Insulin-Dependent Diabetes Induced With Checkpoint Inhibitors

2018 412 citations Zoe Quandt, Ana Luisa Perdigoto et al. profile →
Detection of Succinate by Intestinal Tuft Cells Triggers a Type 2 Innate Immune Circuit

2018 374 citations Corey N. Miller, Mark S. Anderson et al. profile →
Autoimmune Polyendocrine Syndromes

2018 260 citations Mark S. Anderson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark S. Anderson United States	52	6.0k	3.1k	2.9k	2.0k	1.4k	162	11.1k
Mark Peakman United Kingdom	60	5.4k 0.9×	5.6k 1.8×	3.2k 1.1×	1.5k 0.7×	944 0.7×	244	11.4k
Jane H. Buckner United States	55	7.2k 1.2×	2.8k 0.9×	1.0k 0.4×	2.0k 1.0×	1.4k 1.0×	188	11.8k
Georg A. Holländer Switzerland	51	5.0k 0.8×	1.3k 0.4×	1.1k 0.4×	2.5k 1.2×	1.6k 1.1×	144	9.7k
Pere Santamaría Canada	58	7.0k 1.2×	4.8k 1.6×	1.8k 0.6×	1.7k 0.8×	991 0.7×	181	11.4k
Bart O. Roep Netherlands	67	6.4k 1.1×	9.8k 3.2×	5.7k 2.0×	2.0k 1.0×	902 0.6×	305	16.2k
Hiroshi Nagura Japan	51	1.7k 0.3×	1.3k 0.4×	1.1k 0.4×	2.2k 1.1×	2.2k 1.5×	245	8.7k
Grant Morahan Australia	46	3.0k 0.5×	3.6k 1.2×	1.6k 0.5×	2.0k 1.0×	494 0.3×	198	8.1k
Massimo Trucco United States	64	4.7k 0.8×	4.5k 1.5×	2.2k 0.8×	3.1k 1.5×	802 0.6×	312	14.1k
Constantin Polychronakos Canada	45	1.2k 0.2×	4.0k 1.3×	2.5k 0.8×	2.7k 1.3×	498 0.4×	174	7.4k
Sudeepta Aggarwal United States	23	3.6k 0.6×	1.0k 0.3×	497 0.2×	1.6k 0.8×	1.4k 1.0×	46	8.5k

Countries citing papers authored by Mark S. Anderson

Since Specialization

Citations

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

Fields of papers citing papers by Mark S. Anderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark S. Anderson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Smith, Jennifer, Yingyos Jittayasothorn, Douglas B. Gould, et al.. (2024). Tracking the role of Aire in immune tolerance to the eye with a TCR transgenic mouse model. Proceedings of the National Academy of Sciences. 121(5). e2311487121–e2311487121. 2 indexed citations

Ferré, Elise M. N., Vasileios Oikonomou, Chyi‐Chia Richard Lee, et al.. (2023). Case report: Discovery of a de novo FAM111B pathogenic variant in a patient with an APECED-like clinical phenotype. Frontiers in Immunology. 14. 1133387–1133387. 1 indexed citations

Cooney, Laura A., Qian Xiao, Jason A. Mears, et al.. (2023). 230 Immunosuppression causes dynamic changes in expression QTLs in psoriatic skin. Journal of Investigative Dermatology. 143(11). S371–S371. 1 indexed citations

Weber, Robert J., Christine Kim, Adil Daud, Mark S. Anderson, & Zoe Quandt. (2023). 1274 Infliximab for decompensated diabetes following immune checkpoint inhibitor therapy. SHILAP Revista de lepidopterología. A1411–A1411.

Sagan, Sharon A., Zahra Moinfar, Carson E. Moseley, et al.. (2023). T cell deletional tolerance restricts AQP4 but not MOG CNS autoimmunity. Proceedings of the National Academy of Sciences. 120(30). e2306572120–e2306572120. 7 indexed citations

Rackaityte, Elze, Irina Proekt, Akshaya Ramesh, et al.. (2023). Validation of a murine proteome-wide phage display library for identification of autoantibody specificities. JCI Insight. 8(23). 2 indexed citations

Quandt, Zoe, Stephanie Kim, Javier Villanueva‐Meyer, et al.. (2023). Spectrum of Clinical Presentations, Imaging Findings, and HLA Types in Immune Checkpoint Inhibitor–Induced Hypophysitis. Journal of the Endocrine Society. 7(4). bvad012–bvad012. 19 indexed citations

McGill, Janet B., Sandra Lord, Cate Speake, et al.. (2023). ABCC8-Related Monogenic Diabetes Presenting Like Type 1 Diabetes in an Adolescent. AACE Clinical Case Reports. 9(4). 101–103. 1 indexed citations

Liu, Jamin, Matthew T. Laurie, Luis Rubio, et al.. (2022). Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission Dynamics and Immune Responses in a Household of Vaccinated Persons.. PubMed. 75(1). e303–e306.

10.

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

11.

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

12.

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

13.

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

14.

Anderson, Mark S., et al.. (2020). Non-operative Treatment of Kienbock’s Disease, Systematic Literature Review and Report on Three Cases. 1(1). 1 indexed citations

15.

O’Donovan, Brian D., Caleigh Mandel‐Brehm, Sara E. Vazquez, et al.. (2020). High-resolution epitope mapping of anti-Hu and anti-Yo autoimmunity by programmable phage display. Brain Communications. 2(2). fcaa059–fcaa059. 27 indexed citations

16.

Spence, Allyson L., Whitney E. Purtha, Janice Tam, et al.. (2018). Revealing the specificity of regulatory T cells in murine autoimmune diabetes. Proceedings of the National Academy of Sciences. 115(20). 5265–5270. 59 indexed citations

17.

Khan, Imran S., Maria L. Mouchess, Menglei Zhu, et al.. (2014). Enhancement of an anti-tumor immune response by transient blockade of central T cell tolerance. The Journal of Experimental Medicine. 211(5). 761–768. 98 indexed citations

18.

Mohan, James F., Boris Calderón, Mark S. Anderson, & Emil R. Unanue. (2013). Pathogenic CD4+ T cells recognizing an unstable peptide of insulin are directly recruited into islets bypassing local lymph nodes. The Journal of Experimental Medicine. 210(11). 2403–2414. 47 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.

Anderson, Mark S., Emily S. Venanzi, Ludger Klein, et al.. (2002). Projection of an Immunological Self Shadow Within the Thymus by the Aire Protein. Science. 298(5597). 1395–1401. 1744 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact