Marc Schmidt‐Supprian

13.3k total citations · 2 hit papers
85 papers, 8.4k citations indexed

About

Marc Schmidt‐Supprian is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Marc Schmidt‐Supprian has authored 85 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 38 papers in Cancer Research and 26 papers in Molecular Biology. Recurrent topics in Marc Schmidt‐Supprian's work include NF-κB Signaling Pathways (34 papers), Immune Cell Function and Interaction (28 papers) and T-cell and B-cell Immunology (24 papers). Marc Schmidt‐Supprian is often cited by papers focused on NF-κB Signaling Pathways (34 papers), Immune Cell Function and Interaction (28 papers) and T-cell and B-cell Immunology (24 papers). Marc Schmidt‐Supprian collaborates with scholars based in Germany, United States and Italy. Marc Schmidt‐Supprian's co-authors include Klaus Rajewsky, Manolis Pasparakis, Yoshiteru Sasaki, Jeffery L. Kutok, Stefano Casola, Gilles Courtois, Alain Israël, Dinis Pedro Calado, Matthias Mann and Anjana Rao and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marc Schmidt‐Supprian

84 papers receiving 8.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Regulation of the Germinal Center Response by MicroRNA-155

2007 1.2k citations Stefano Casola, Jeffery L. Kutok et al. profile →
Context-Specific Determinants of the Immunosuppressive Tumor Microenvironment in Pancreatic Cancer

2023 111 citations Chiara Falcomatà, Stefanie Bärthel et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Schmidt‐Supprian Germany	44	4.1k	3.8k	3.2k	1.3k	584	85	8.4k
Hailing Hsu United States	17	4.2k 1.0×	4.8k 1.2×	3.1k 1.0×	1.7k 1.3×	667 1.1×	23	8.3k
Jun Ninomiya‐Tsuji Japan	48	3.7k 0.9×	6.1k 1.6×	3.5k 1.1×	1.6k 1.2×	597 1.0×	95	9.9k
Hsiou‐Chi Liou United States	48	5.0k 1.2×	2.8k 0.7×	3.5k 1.1×	1.3k 1.0×	475 0.8×	85	7.9k
Shigeki Miyamoto United States	42	3.0k 0.7×	5.1k 1.3×	3.9k 1.2×	2.1k 1.6×	427 0.7×	157	8.8k
Steven C. Ley United Kingdom	45	4.0k 1.0×	3.9k 1.0×	1.8k 0.6×	1.4k 1.1×	475 0.8×	83	8.1k
Gordon S. Duncan Canada	39	5.5k 1.3×	3.8k 1.0×	1.6k 0.5×	2.0k 1.5×	849 1.5×	46	9.7k
Li‐Fan Lu United States	38	6.0k 1.5×	3.4k 0.9×	2.0k 0.6×	2.0k 1.5×	540 0.9×	63	9.9k
Mark Boothby United States	52	4.7k 1.1×	2.8k 0.7×	1.9k 0.6×	2.0k 1.5×	555 1.0×	139	8.3k
Zusen Fan China	49	2.4k 0.6×	5.2k 1.4×	2.4k 0.8×	1.3k 1.0×	904 1.5×	109	8.1k
Daniel Krappmann Germany	50	3.6k 0.9×	4.8k 1.2×	3.7k 1.2×	2.2k 1.7×	648 1.1×	104	9.0k

Countries citing papers authored by Marc Schmidt‐Supprian

Since Specialization

Citations

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

Fields of papers citing papers by Marc Schmidt‐Supprian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Schmidt‐Supprian. 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 Marc Schmidt‐Supprian. The network helps show where Marc Schmidt‐Supprian may publish in the future.

Co-authorship network of co-authors of Marc Schmidt‐Supprian

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Schmidt‐Supprian. A scholar is included among the top collaborators of Marc Schmidt‐Supprian 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 Marc Schmidt‐Supprian. Marc Schmidt‐Supprian 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

Federle, Christine, Jelena Nedjic, Sarina Ravens, et al.. (2025). Cathepsin L-dependent positive selection shapes clonal composition and functional fitness of CD4+ T cells. Nature Immunology. 26(7). 1127–1138. 1 indexed citations

Kavazović, Inga, Ilija Brizić, Marc Schmidt‐Supprian, et al.. (2025). NK cell-derived IFNγ mobilizes free fatty acids from adipose tissue to promote early B cell activation during viral infection. Nature Metabolism. 7(5). 985–1003. 1 indexed citations

Kendirli, Arek, Paula Sánchez, Lena Spieth, et al.. (2025). In vivo CRISPR screen reveals regulation of macrophage states in neuroinflammation. Nature Neuroscience. 29(2). 493–509.

Lechner, Markus, Marc Schmidt‐Supprian, Andrew J. Yates, et al.. (2024). Notch2 controls developmental fate choices between germinal center and marginal zone B cells upon immunization. Nature Communications. 15(1). 1960–1960. 9 indexed citations

Montero, Juán José, M C Sugden, Rupert Öllinger, et al.. (2024). Genome-scale pan-cancer interrogation of lncRNA dependencies using CasRx. Nature Methods. 21(4). 584–596. 19 indexed citations

Rohwedder, Ina, Claudia Nußbaum, Melanie Salvermoser, et al.. (2023). A20 and the noncanonical NF-κB pathway are key regulators of neutrophil recruitment during fetal ontogeny. JCI Insight. 8(4). 7 indexed citations

Falcomatà, Chiara, Stefanie Bärthel, Günter Schneider, et al.. (2023). Context-Specific Determinants of the Immunosuppressive Tumor Microenvironment in Pancreatic Cancer. Cancer Discovery. 13(2). 278–297. 111 indexed citations breakdown →

Lechner, Markus, Thomas Engleitner, Marc Schmidt‐Supprian, et al.. (2021). Notch2-mediated plasticity between marginal zone and follicular B cells. Nature Communications. 12(1). 1111–1111. 31 indexed citations

Kumar, Dilip, Maciej Lech, Thomas Engleitner, et al.. (2020). c-Rel gain in B cells drives germinal center reactions and autoantibody production. Journal of Clinical Investigation. 130(6). 3270–3286. 10 indexed citations

10.

Park, Eugene, A. P. Moore, Antonella Santoro, et al.. (2020). Stromal cell protein kinase C-β inhibition enhances chemosensitivity in B cell malignancies and overcomes drug resistance. Science Translational Medicine. 12(526). 22 indexed citations

11.

Levine, Andrew G., Saskia Hemmers, António P. Baptista, et al.. (2017). Suppression of lethal autoimmunity by regulatory T cells with a single TCR specificity. The Journal of Experimental Medicine. 214(3). 609–622. 29 indexed citations

12.

Fischer, Julius, Vera Otten, Christoph Drees, et al.. (2017). A20 Restrains Thymic Regulatory T Cell Development. The Journal of Immunology. 199(7). 2356–2365. 28 indexed citations

13.

Liu, Lin, et al.. (2012). Multigram Synthesis of Isobutyl-β- C -galactoside as a Substitute of Isopropylthiogalactoside for Exogenous Gene Induction in Mammalian Cells. The Journal of Organic Chemistry. 77(3). 1539–1546. 14 indexed citations

14.

Hofmann, Janin, Florian Mair, Melanie Greter, Marc Schmidt‐Supprian, & Burkhard Becher. (2011). NIK signaling in dendritic cells but not in T cells is required for the development of effector T cells and cell-mediated immune responses. The Journal of Experimental Medicine. 208(9). 1917–1929. 58 indexed citations

15.

Green, Michael R., Stefano Monti, Riccardo Dalla‐Favera, et al.. (2011). Signatures of murine B-cell development implicate Yy1 as a regulator of the germinal center-specific program. Proceedings of the National Academy of Sciences. 108(7). 2873–2878. 42 indexed citations

16.

Vlantis, Katerina, Andy Wullaert, Yoshiteru Sasaki, et al.. (2011). Constitutive IKK2 activation in intestinal epithelial cells induces intestinal tumors in mice. Journal of Clinical Investigation. 121(7). 2781–2793. 82 indexed citations

17.

Wunderlich, F. Thomas, Tom Luedde, Stephan Singer, et al.. (2008). Hepatic NF-κB essential modulator deficiency prevents obesity-induced insulin resistance but synergizes with high-fat feeding in tumorigenesis. Proceedings of the National Academy of Sciences. 105(4). 1297–1302. 90 indexed citations

18.

Schmidt‐Supprian, Marc, Jane Tian, Ethan Grant, et al.. (2004). Differential dependence of CD4 ⁺ CD25 ⁺ regulatory and natural killer-like T cells on signals leading to NF-κB activation. Proceedings of the National Academy of Sciences. 101(13). 4566–4571. 202 indexed citations

19.

Schmidt‐Supprian, Marc, Jane Tian, Hongbin Ji, et al.. (2004). IκB Kinase 2 Deficiency in T Cells Leads to Defects in Priming, B Cell Help, Germinal Center Reactions, and Homeostatic Expansion. The Journal of Immunology. 173(3). 1612–1619. 34 indexed citations

20.

Sasaki, Yoshiteru, Stefano Casola, Jeffery L. Kutok, Klaus Rajewsky, & Marc Schmidt‐Supprian. (2004). TNF Family Member B Cell-Activating Factor (BAFF) Receptor-Dependent and -Independent Roles for BAFF in B Cell Physiology. The Journal of Immunology. 173(4). 2245–2252. 293 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.

Explore authors with similar magnitude of impact