Wolfgang Kastenmüller

13.2k total citations · 5 hit papers
62 papers, 7.1k citations indexed

About

Wolfgang Kastenmüller is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Wolfgang Kastenmüller has authored 62 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Immunology, 13 papers in Molecular Biology and 6 papers in Virology. Recurrent topics in Wolfgang Kastenmüller's work include Immunotherapy and Immune Responses (35 papers), Immune Cell Function and Interaction (32 papers) and T-cell and B-cell Immunology (31 papers). Wolfgang Kastenmüller is often cited by papers focused on Immunotherapy and Immune Responses (35 papers), Immune Cell Function and Interaction (32 papers) and T-cell and B-cell Immunology (31 papers). Wolfgang Kastenmüller collaborates with scholars based in Germany, United States and Japan. Wolfgang Kastenmüller's co-authors include Ronald N. Germain, Tim Lämmermann, Nikolina Bąbała, Jannie Borst, Tomasz Ahrends, Cornelis J.M. Melief, Georg Gasteiger, Michael Y. Gerner, B. Angermann and Ji Ming Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Wolfgang Kastenmüller

61 papers receiving 7.0k citations

Hit Papers

CD4+ T cell help in cancer immunology and immunot... 2012 2026 2016 2021 2018 2012 2013 2022 2023 250 500 750 1000
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.

  1. CD4+ T cell help in cancer immunology and immunotherapy
    2018 1.1k citations Wolfgang Kastenmüller et al. Nature reviews. Immunology profile →
  2. Compartmentalized Control of Skin Immunity by Resident Commensals
    2012 820 citations Shruti Naik, Nicolas Bouladoux et al. Science profile →
  3. Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo
    2013 684 citations Tim Lämmermann, Wolfgang Kastenmüller et al. profile →
  4. The glucose transporter GLUT3 controls T helper 17 cell responses through glycolytic-epigenetic reprogramming
    2022 140 citations Sophia M. Hochrein, Hao Wu et al. profile →
  5. Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming
    2023 135 citations Hao Wu, Xiufeng Zhao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Kastenmüller Germany 38 4.6k 1.9k 1.7k 805 486 62 7.1k
Scott N. Mueller Australia 45 7.3k 1.6× 1.4k 0.7× 1.9k 1.1× 1.2k 1.5× 450 0.9× 103 9.5k
David Jarrossay Switzerland 28 6.5k 1.4× 1.2k 0.6× 1.1k 0.7× 926 1.2× 591 1.2× 40 8.4k
Jens Geginat Italy 34 6.6k 1.4× 1.8k 0.9× 1.6k 0.9× 1.2k 1.5× 319 0.7× 64 9.2k
Simon Rothenfußer Germany 39 7.4k 1.6× 2.3k 1.2× 1.3k 0.8× 1.2k 1.4× 259 0.5× 74 9.1k
Manfred B. Lutz Germany 45 9.5k 2.1× 2.4k 1.3× 1.7k 1.0× 1.0k 1.3× 305 0.6× 123 12.3k
Karsten Mahnke Germany 47 7.3k 1.6× 1.9k 1.0× 1.4k 0.9× 554 0.7× 532 1.1× 89 9.1k
Gustavo Martínez United States 31 6.4k 1.4× 1.5k 0.8× 1.5k 0.9× 594 0.7× 353 0.7× 70 8.1k
Robert C. Fuhlbrigge United States 44 5.1k 1.1× 2.3k 1.2× 2.8k 1.7× 797 1.0× 958 2.0× 100 9.2k
Kimberly S. Schluns United States 35 8.5k 1.9× 1.4k 0.7× 2.2k 1.3× 871 1.1× 347 0.7× 59 10.0k
Susan Chan France 44 6.8k 1.5× 2.2k 1.1× 1.6k 1.0× 1.1k 1.3× 275 0.6× 86 9.5k

Countries citing papers authored by Wolfgang Kastenmüller

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Kastenmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wolfgang Kastenmüller. 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 Wolfgang Kastenmüller. The network helps show where Wolfgang Kastenmüller may publish in the future.

Co-authorship network of co-authors of Wolfgang Kastenmüller

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Kastenmüller. A scholar is included among the top collaborators of Wolfgang Kastenmüller 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 Wolfgang Kastenmüller. Wolfgang Kastenmüller 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.
Jobin, Katarzyna, Chloe Fenton, Anfei Huang, et al.. (2025). A distinct priming phase regulates CD8 T cell immunity by orchestrating paracrine IL-2 signals. Science. 388(6743). eadq1405–eadq1405. 7 indexed citations
2.
Gogiraju, Rajinikanth, Antoine‐Emmanuel Saliba, Anton Gisterå, et al.. (2024). CD8 + T Cells Drive Plaque Smooth Muscle Cell Dedifferentiation in Experimental Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 44(8). 1852–1872. 10 indexed citations
3.
Wu, Hao, Xiufeng Zhao, Sophia M. Hochrein, et al.. (2023). Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming. Nature Communications. 14(1). 6858–6858. 135 indexed citations breakdown →
4.
Stadler, David, Konrad Knöpper, Panagiota Arampatzi, et al.. (2023). Cytotoxic CNS-associated T cells drive axon degeneration by targeting perturbed oligodendrocytes in PLP1 mutant mice. iScience. 26(5). 106698–106698. 5 indexed citations
5.
Gasteiger, Georg, et al.. (2023). Resident regulatory T cells reflect the immune history of individual lymph nodes. Science Immunology. 8(89). eadj5789–eadj5789. 9 indexed citations
6.
Johnson, David, Philipp Burkard, Mara Meub, et al.. (2023). OC 47.5 Platelet-Derived Integrin and Tetraspanin-Enriched Tethers (PITTs) Orchestrate Neutrophil Recruitment and Drive Pulmonary Thrombo-Inflammation. Research and Practice in Thrombosis and Haemostasis. 7. 100507–100507. 1 indexed citations
7.
Friedrich, Christin, Rémi Doucet-Ladevèze, Panagiota Arampatzi, et al.. (2021). Effector differentiation downstream of lineage commitment in ILC1s is driven by Hobit across tissues. Nature Immunology. 22(10). 1256–1267. 69 indexed citations
8.
Glaser, Katharina M., Sarah Eickhoff, Michael Mihlan, et al.. (2021). Neutrophils self-limit swarming to contain bacterial growth in vivo. Science. 372(6548). 99 indexed citations
9.
Giovanni, Marco De, Amir Giladi, Chiara Medaglia, et al.. (2020). Spatiotemporal regulation of type I interferon expression determines the antiviral polarization of CD4+ T cells. Nature Immunology. 21(3). 321–330. 53 indexed citations
10.
Ataide, Marco A., Konrad Knöpper, Annika E. Peters, et al.. (2020). BATF3 programs CD8+ T cell memory. Nature Immunology. 21(11). 1397–1407. 88 indexed citations
11.
Rodríguez-Alcázar, Juan F., Marco A. Ataide, Gudrun Engels, et al.. (2018). Charcot–Leyden Crystals Activate the NLRP3 Inflammasome and Cause IL-1β Inflammation in Human Macrophages. The Journal of Immunology. 202(2). 550–558. 53 indexed citations
12.
Eickhoff, Sarah, Michael Y. Gerner, Frederick Klauschen, et al.. (2015). Robust Anti-viral Immunity Requires Multiple Distinct T Cell-Dendritic Cell Interactions. Cell. 162(6). 1322–1337. 253 indexed citations
13.
Kastenmüller, Wolfgang, Kathrin Kastenmüller, Christian Kurts, & Robert A. Seder. (2014). Dendritic cell-targeted vaccines — hope or hype?. Nature reviews. Immunology. 14(10). 705–711. 181 indexed citations
14.
Naik, Shruti, Nicolas Bouladoux, Christoph Wilhelm, et al.. (2012). Compartmentalized Control of Skin Immunity by Resident Commensals. Science. 337(6098). 1115–1119. 820 indexed citations breakdown →
15.
Kastenmüller, Wolfgang, Parizad Torabi‐Parizi, Naeha Subramanian, Tim Lämmermann, & Ronald N. Germain. (2012). A Spatially-Organized Multicellular Innate Immune Response in Lymph Nodes Limits Systemic Pathogen Spread. Cell. 150(6). 1235–1248. 283 indexed citations
16.
Huster, Katharina M., Christian Stemberger, Georg Gasteiger, et al.. (2009). Cutting Edge: Memory CD8 T Cell Compartment Grows in Size with Immunological Experience but Nevertheless Can Lose Function. The Journal of Immunology. 183(11). 6898–6902. 27 indexed citations
17.
Kastenmüller, Wolfgang, et al.. (2009). Cutting Edge: Mucosal Application of a Lyophilized Viral Vector Vaccine Confers Systemic and Protective Immunity toward Intracellular Pathogens. The Journal of Immunology. 182(5). 2573–2577. 11 indexed citations
18.
Kastenmüller, Wolfgang, et al.. (2007). Cross-competition of CD8+ T cells shapes the immunodominance hierarchy during boost vaccination. The Journal of Experimental Medicine. 204(9). 2187–2198. 90 indexed citations
19.
20.
Drexler, Ingo, Caroline Staib, Wolfgang Kastenmüller, et al.. (2002). Identification of vaccinia virus epitope-specific HLA-A*0201-restricted T cells and comparative analysis of smallpox vaccines. Proceedings of the National Academy of Sciences. 100(1). 217–222. 128 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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