Alexander D. Gitlin

5.7k total citations
19 papers, 2.5k citations indexed

About

Alexander D. Gitlin is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Alexander D. Gitlin has authored 19 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Alexander D. Gitlin's work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). Alexander D. Gitlin is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). Alexander D. Gitlin collaborates with scholars based in United States, Austria and United Kingdom. Alexander D. Gitlin's co-authors include Michel C. Nussenzweig, Ziv Shulman, Gabriel D. Victora, Thiago Y. Oliveira, Mila Janković, Anna Gazumyan, Sasha Targ, Giulia Pasqual, Alice O. Kamphorst and Monica R. Mugnier and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Alexander D. Gitlin

18 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander D. Gitlin United States 16 1.8k 802 338 282 207 19 2.5k
Vincenzo Di Bartolo France 28 1.4k 0.8× 722 0.9× 470 1.4× 183 0.6× 129 0.6× 52 2.2k
Tanja A. Schwickert United States 16 2.8k 1.6× 937 1.2× 406 1.2× 258 0.9× 105 0.5× 21 3.7k
Frédérique Michel France 26 2.2k 1.2× 886 1.1× 657 1.9× 198 0.7× 391 1.9× 54 3.1k
Dmitriy A. Bolotin Russia 17 1.6k 0.9× 694 0.9× 588 1.7× 256 0.9× 59 0.3× 26 2.2k
Arnold Han United States 18 1.6k 0.9× 1.1k 1.3× 703 2.1× 201 0.7× 60 0.3× 24 2.6k
Mónica Gordón‐Alonso Spain 20 918 0.5× 790 1.0× 275 0.8× 90 0.3× 253 1.2× 24 1.9k
Loredana Saveanu France 28 1.7k 0.9× 1.1k 1.4× 659 1.9× 110 0.4× 116 0.6× 47 2.7k
Jane L. Howard Australia 10 2.2k 1.2× 598 0.7× 501 1.5× 120 0.4× 287 1.4× 13 2.7k
Robert W. Maul United States 23 972 0.5× 781 1.0× 180 0.5× 137 0.5× 99 0.5× 50 1.8k
Craig S. Clements Australia 31 2.7k 1.5× 553 0.7× 447 1.3× 365 1.3× 102 0.5× 39 3.1k

Countries citing papers authored by Alexander D. Gitlin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander D. Gitlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander D. Gitlin. 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 Alexander D. Gitlin. The network helps show where Alexander D. Gitlin may publish in the future.

Co-authorship network of co-authors of Alexander D. Gitlin

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

All Works

19 of 19 papers shown
1.
Narendra, Varun, Tandrila Das, Tom Devine, et al.. (2025). Independent mechanisms of inflammation and myeloid bias in VEXAS syndrome. Nature. 649(8099). 1273–1281.
2.
Merkenschlager, Julia, Dennis Schaefer-Babajew, Melissa Cipolla, et al.. (2025). Regulated somatic hypermutation enhances antibody affinity maturation. Nature. 641(8062). 495–502. 6 indexed citations
3.
Gitlin, Alexander D., Allie Maltzman, Klaus Heger, et al.. (2024). N4BP1 coordinates ubiquitin-dependent crosstalk within the IκB kinase family to limit Toll-like receptor signaling and inflammation. Immunity. 57(5). 973–986.e7. 13 indexed citations
4.
Newton, Kim & Alexander D. Gitlin. (2022). Deubiquitinases in cell death and inflammation. Biochemical Journal. 479(10). 1103–1119. 16 indexed citations
5.
Kim, Eui Ho, Matthew C. Woodruff, Lilit Grigoryan, et al.. (2020). Squalene emulsion-based vaccine adjuvants stimulate CD8 T cell, but not antibody responses, through a RIPK3-dependent pathway. eLife. 9. 63 indexed citations
6.
Zaretsky, Irina, Roei David Mazor, Liat Stoler‐Barak, et al.. (2017). ICAMs support B cell interactions with T follicular helper cells and promote clonal selection. The Journal of Experimental Medicine. 214(11). 3435–3448. 72 indexed citations
7.
Mayer, Christian T., Anna Gazumyan, Ervin E. Kara, et al.. (2017). The microanatomic segregation of selection by apoptosis in the germinal center. Science. 358(6360). 177 indexed citations
8.
McGuire, Andrew T., Matthew D. Gray, Pia Dosenovic, et al.. (2016). Specifically modified Env immunogens activate B-cell precursors of broadly neutralizing HIV-1 antibodies in transgenic mice. Nature Communications. 7(1). 10618–10618. 118 indexed citations
9.
Gitlin, Alexander D., Lotta von Boehmer, Anna Gazumyan, et al.. (2016). Independent Roles of Switching and Hypermutation in the Development and Persistence of B Lymphocyte Memory. Immunity. 44(4). 769–781. 98 indexed citations
10.
Boehmer, Lotta von, Cassie Liu, Sarah E. Ackerman, et al.. (2016). Sequencing and cloning of antigen-specific antibodies from mouse memory B cells. Nature Protocols. 11(10). 1908–1923. 111 indexed citations
11.
Gitlin, Alexander D. & Michel C. Nussenzweig. (2015). Immunology: Fifty years of B lymphocytes. Nature. 517(7533). 139–141. 24 indexed citations
12.
Gitlin, Alexander D., Christian T. Mayer, Thiago Y. Oliveira, et al.. (2015). T cell help controls the speed of the cell cycle in germinal center B cells. Science. 349(6248). 643–646. 166 indexed citations
13.
Shulman, Ziv, Alexander D. Gitlin, Jason S. Weinstein, et al.. (2014). Dynamic signaling by T follicular helper cells during germinal center B cell selection. Science. 345(6200). 1058–1062. 280 indexed citations
14.
Gitlin, Alexander D., Ziv Shulman, & Michel C. Nussenzweig. (2014). Clonal selection in the germinal centre by regulated proliferation and hypermutation. Nature. 509(7502). 637–640. 423 indexed citations
15.
Virgilio, Michela Di, Elsa Callén, Arito Yamane, et al.. (2013). Rif1 Prevents Resection of DNA Breaks and Promotes Immunoglobulin Class Switching. Science. 339(6120). 711–715. 309 indexed citations
16.
Shulman, Ziv, Alexander D. Gitlin, Sasha Targ, et al.. (2013). T Follicular Helper Cell Dynamics in Germinal Centers. Science. 341(6146). 673–677. 277 indexed citations
17.
Rommel, Philipp C., David Bosque, Alexander D. Gitlin, et al.. (2013). Fate Mapping for Activation-Induced Cytidine Deaminase (AID) Marks Non-Lymphoid Cells During Mouse Development. PLoS ONE. 8(7). e69208–e69208. 21 indexed citations
18.
Kubicek, Stefan, Joshua C. Gilbert, Dina Fomina‐Yadlin, et al.. (2012). Chromatin-targeting small molecules cause class-specific transcriptional changes in pancreatic endocrine cells. Proceedings of the National Academy of Sciences. 109(14). 5364–5369. 34 indexed citations
19.
Schwickert, Tanja A., Gabriel D. Victora, David Fooksman, et al.. (2011). A dynamic T cell–limited checkpoint regulates affinity-dependent B cell entry into the germinal center. The Journal of Experimental Medicine. 208(6). 1243–1252. 308 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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