Michael L. Dustin

68.6k total citations · 25 hit papers
391 papers, 52.0k citations indexed

About

Michael L. Dustin is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Michael L. Dustin has authored 391 papers receiving a total of 52.0k indexed citations (citations by other indexed papers that have themselves been cited), including 297 papers in Immunology, 81 papers in Immunology and Allergy and 74 papers in Molecular Biology. Recurrent topics in Michael L. Dustin's work include T-cell and B-cell Immunology (203 papers), Immune Cell Function and Interaction (158 papers) and Immunotherapy and Immune Responses (141 papers). Michael L. Dustin is often cited by papers focused on T-cell and B-cell Immunology (203 papers), Immune Cell Function and Interaction (158 papers) and Immunotherapy and Immune Responses (141 papers). Michael L. Dustin collaborates with scholars based in United States, United Kingdom and Germany. Michael L. Dustin's co-authors include Timothy A. Springer, Andréy S. Shaw, Shannon K. Bromley, Robert Rothlein, Donald E. Staunton, Paul M. Allen, Rajat Varma, Mark M. Davis, Cenk Sumen and Michel C. Nussenzweig and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael L. Dustin

377 papers receiving 51.1k citations

Hit Papers

ATP mediates rapid microglial response to loc... 1986 2026 1999 2012 2005 1999 1986 1989 1986 1000 2.0k 3.0k

Peers

Michael L. Dustin
Eugene C. Butcher United States
Ulrich H. von Andrian United States
Carl G. Figdor Netherlands
Andrew D. Luster United States
Brian Seed United States
Ajit Varki United States
Steven Μ. Albelda United States
Eugene C. Butcher United States
Michael L. Dustin
Citations per year, relative to Michael L. Dustin Michael L. Dustin (= 1×) peers Eugene C. Butcher

Countries citing papers authored by Michael L. Dustin

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Dustin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Dustin. 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 Michael L. Dustin. The network helps show where Michael L. Dustin may publish in the future.

Co-authorship network of co-authors of Michael L. Dustin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Dustin. A scholar is included among the top collaborators of Michael L. Dustin 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 Michael L. Dustin. Michael L. Dustin 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.
Kutuzov, Mikhail A., et al.. (2024). Regulation of temporal cytokine production by co-stimulation receptors in TCR-T cells is lost in CAR-T cells. PubMed. 4(1). ltae004–ltae004. 2 indexed citations
2.
Jainarayanan, Ashwin, et al.. (2024). T Cell Resistance: On the Mechanisms of T Cell Non-activation. Immune Network. 24(6). e42–e42. 3 indexed citations
3.
Liu, Jia, Audun Kvalvaag, Anna S. Tocheva, et al.. (2024). Transmembrane domain–driven PD-1 dimers mediate T cell inhibition. Science Immunology. 9(93). eade6256–eade6256. 17 indexed citations
4.
Jainarayanan, Ashwin, Edward H. Arbe-Barnes, Rachael Bashford-Rogers, et al.. (2023). Pseudotime dynamics of T cells in pancreatic ductal adenocarcinoma inform distinct functional states within the regulatory and cytotoxic T cells. iScience. 26(4). 106324–106324. 5 indexed citations
5.
Artzy‐Schnirman, Arbel, Enas Abu‐Shah, Rona Chandrawati, et al.. (2022). Artificial Antigen Presenting Cells for Detection and Desensitization of Autoreactive T cells Associated with Type 1 Diabetes. Nano Letters. 22(11). 4376–4382. 2 indexed citations
6.
Bálint, Štefan, Sabina Müller, Román Fischer, et al.. (2020). Supramolecular attack particles are autonomous killing entities released from cytotoxic T cells. Science. 368(6493). 897–901. 112 indexed citations
7.
Dustin, Michael L., et al.. (2020). Model membrane systems to reconstitute immune cell signaling. FEBS Journal. 288(4). 1070–1090. 23 indexed citations
8.
Jenkins, Edward, Ana Mafalda Santos, James H. Felce, et al.. (2018). Reconstitution of immune cell interactions in free-standing membranes. Journal of Cell Science. 132(4). 29 indexed citations
9.
Bálint, Štefan, Salvatore Valvo, James H. Felce, et al.. (2017). Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages. The Journal of Cell Biology. 216(4). 1123–1141. 43 indexed citations
10.
Zanin‐Zhorov, Alexandra, José U. Scher, Sudha Kumari, et al.. (2012). Scaffold protein Disc large homolog 1 is required for T-cell receptor-induced activation of regulatory T-cell function. Proceedings of the National Academy of Sciences. 109(5). 1625–1630. 45 indexed citations
11.
Prins, Kathleen C., Gaia Vasiliver-Shamis, Michael Cammer, et al.. (2012). Imaging of HIV-1 Envelope-induced Virological Synapse and Signaling on Synthetic Lipid Bilayers. Journal of Visualized Experiments. 4 indexed citations
12.
Prins, Kathleen C., Gaia Vasiliver-Shamis, Michael Cammer, et al.. (2012). Imaging of HIV-1 Envelope-induced Virological Synapse and Signaling on Synthetic Lipid Bilayers. Journal of Visualized Experiments. 2 indexed citations
13.
Kang, Silvia S., Jasmin Herz, Jiyun V. Kim, et al.. (2011). Migration of cytotoxic lymphocytes in cell cycle permits local MHC I–dependent control of division at sites of viral infection. The Journal of Experimental Medicine. 208(4). 747–759. 43 indexed citations
14.
Zanin‐Zhorov, Alexandra, Yi Ding, Sudha Kumari, et al.. (2010). Protein Kinase C-θ Mediates Negative Feedback on Regulatory T Cell Function. Science. 328(5976). 372–376. 219 indexed citations
15.
Darrasse-Jèze, Guillaume, Stephanie Deroubaix, Hugo Mouquet, et al.. (2009). Feedback control of regulatory T cell homeostasis by dendritic cells in vivo. The Journal of Experimental Medicine. 206(9). 1853–1862. 316 indexed citations
16.
Kaizuka, Yoshihisa, Adam D. Douglass, Rajat Varma, Michael L. Dustin, & Ronald D. Vale. (2007). Mechanisms for segregating T cell receptor and adhesion molecules during immunological synapse formation in Jurkat T cells. Proceedings of the National Academy of Sciences. 104(51). 20296–20301. 302 indexed citations
17.
Anikeeva, Nadia, Tatiana Lebedeva, Aaron R. Clapp, et al.. (2006). Quantum dot/peptide-MHC biosensors reveal strong CD8-dependent cooperation between self and viral antigens that augment the T cell response. Proceedings of the National Academy of Sciences. 103(45). 16846–16851. 87 indexed citations
18.
Tadokoro, Carlos E., Guy Shakhar, Steven S. Shen, et al.. (2006). Regulatory T cells inhibit stable contacts between CD4+ T cells and dendritic cells in vivo. The Journal of Experimental Medicine. 203(3). 505–511. 399 indexed citations
19.
Dustin, Michael L.. (2002). Membrane domains and the immunological synapse: keeping T cells resting and ready. Journal of Clinical Investigation. 109(2). 155–160. 49 indexed citations
20.
Larson, Richard A., et al.. (1989). The Leukocyte Integrins. Advances in immunology. 46. 149–182. 458 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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