Christian Münz

45.4k total citations · 8 hit papers
295 papers, 19.4k citations indexed

About

Christian Münz is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Christian Münz has authored 295 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Immunology, 130 papers in Oncology and 118 papers in Epidemiology. Recurrent topics in Christian Münz's work include Immune Cell Function and Interaction (154 papers), Viral-associated cancers and disorders (101 papers) and Autophagy in Disease and Therapy (69 papers). Christian Münz is often cited by papers focused on Immune Cell Function and Interaction (154 papers), Viral-associated cancers and disorders (101 papers) and Autophagy in Disease and Therapy (69 papers). Christian Münz collaborates with scholars based in Switzerland, United States and Germany. Christian Münz's co-authors include Dorothee Schmid, Ralph M. Steinman, Jan D. Lünemann, Guido Ferlazzo, Nina Bhardwaj, Obinna Chijioke, Till Strowig, Joseph Krasovsky, Madhav V. Dhodapkar and Ming L. Tsang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christian Münz

285 papers receiving 19.2k citations

Hit Papers

Antigen-Specific Inhibition of Effector T Cell Function i... 2001 2026 2009 2017 2001 2002 2004 2006 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Münz Switzerland 71 11.9k 6.1k 5.4k 4.0k 2.3k 295 19.4k
René A. W. van Lier Netherlands 85 16.4k 1.4× 4.4k 0.7× 4.2k 0.8× 3.3k 0.8× 1.6k 0.7× 350 22.7k
Carl F. Ware United States 79 13.4k 1.1× 3.7k 0.6× 4.4k 0.8× 5.6k 1.4× 949 0.4× 257 21.3k
James McCluskey Australia 80 16.7k 1.4× 3.5k 0.6× 2.9k 0.5× 4.6k 1.2× 774 0.3× 347 23.0k
Francesco Annunziato Italy 67 10.8k 0.9× 1.8k 0.3× 3.4k 0.6× 3.3k 0.8× 1.1k 0.5× 209 18.9k
Luc Van Kaer United States 88 17.9k 1.5× 2.9k 0.5× 5.1k 0.9× 6.2k 1.6× 785 0.3× 368 26.4k
Martin Lipp Germany 71 20.5k 1.7× 2.2k 0.4× 7.6k 1.4× 5.1k 1.3× 1.2k 0.5× 190 27.2k
Marina Cella United States 91 29.2k 2.5× 3.1k 0.5× 4.6k 0.9× 6.2k 1.6× 744 0.3× 175 35.9k
Hergen Spits Netherlands 97 29.3k 2.5× 2.7k 0.4× 7.6k 1.4× 5.6k 1.4× 1.8k 0.8× 336 39.1k
Herbert C. Morse United States 81 12.1k 1.0× 2.8k 0.5× 3.6k 0.7× 8.0k 2.0× 1.7k 0.8× 437 22.8k
Susan M. Kaech United States 65 19.6k 1.7× 3.1k 0.5× 6.0k 1.1× 4.6k 1.2× 376 0.2× 123 24.8k

Countries citing papers authored by Christian Münz

Since Specialization
Citations

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

Fields of papers citing papers by Christian Münz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Münz

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Münz. A scholar is included among the top collaborators of Christian Münz 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 Christian Münz. Christian Münz 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.
Deng, Yun, Anita Murer, Nicole Caduff, et al.. (2024). Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues. JCI Insight. 9(20). 7 indexed citations
3.
Lakshmi, Priya Saikumar, Cliff I. Oduor, Catherine S. Forconi, et al.. (2023). Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies. Life Science Alliance. 6(5). e202101355–e202101355. 5 indexed citations
4.
Gisbergen, Klaas P. J. M. van, Kyra D. Zens, & Christian Münz. (2021). T‐cell memory in tissues. European Journal of Immunology. 51(6). 1310–1324. 22 indexed citations
5.
Keller, Christian W., Christian Münz, & Jan D. Lünemann. (2020). Autophagy Pathways in CNS Myeloid Cell Immune Functions. Trends in Neurosciences. 43(12). 1024–1033. 10 indexed citations
6.
Forconi, Catherine S., Cormac Cosgrove, Priya Saikumar Lakshmi, et al.. (2018). Poorly cytotoxic terminally differentiated CD56negCD16pos NK cells accumulate in Kenyan children with Burkitt lymphomas. Blood Advances. 2(10). 1101–1114. 38 indexed citations
7.
Tsai, Ming‐Han, Anatoliy Shumilov, Felix Lasitschka, et al.. (2018). Epstein-Barr Virus Induces Expression of the LPAM-1 Integrin in B Cells In Vitro and In Vivo. Journal of Virology. 93(5). 15 indexed citations
8.
Münz, Christian. (2018). Human γ-Herpesvirus Infection, Tumorigenesis, and Immune Control in Mice with Reconstituted Human Immune System Components. Frontiers in Immunology. 9. 238–238. 8 indexed citations
9.
Keller, Christian W., Sarah Mundt, Isaak Quast, et al.. (2017). ATG-dependent phagocytosis in dendritic cells drives myelin-specific CD4 + T cell pathogenicity during CNS inflammation. Proceedings of the National Academy of Sciences. 114(52). E11228–E11237. 65 indexed citations
10.
Gretzmeier, Christine, Gregory R. Johnson, Rudolf Engelke, et al.. (2017). Degradation of protein translation machinery by amino acid starvation-induced macroautophagy. Autophagy. 13(6). 1064–1075. 28 indexed citations
11.
Chijioke, Obinna, Vanessa Landtwing, & Christian Münz. (2016). NK Cell Influence on the Outcome of Primary Epstein–Barr Virus Infection. Frontiers in Immunology. 7. 323–323. 51 indexed citations
12.
Paul, Petra & Christian Münz. (2016). Autophagy and Mammalian Viruses. Advances in virus research. 95. 149–195. 94 indexed citations
13.
Karstegl, Claudio Elgueta, Rebecca L. Skalsky, Bryan R. Cullen, et al.. (2015). Epstein-Barr Viruses (EBVs) Deficient in EBV-Encoded RNAs Have Higher Levels of Latent Membrane Protein 2 RNA Expression in Lymphoblastoid Cell Lines and Efficiently Establish Persistent Infections in Humanized Mice. Journal of Virology. 89(22). 11711–11714. 19 indexed citations
14.
Jungraithmayr, Wolfgang, Laura Codarri Deak, Grégory Bouchaud, et al.. (2013). Cytokine Complex–expanded Natural Killer Cells Improve Allogeneic Lung Transplant Function via Depletion of Donor Dendritic Cells. American Journal of Respiratory and Critical Care Medicine. 187(12). 1349–1359. 39 indexed citations
15.
Münz, Christian. (2012). Antigen Processing for MHC Class II Presentation via Autophagy. Frontiers in Immunology. 3. 9–9. 88 indexed citations
16.
Taylor, Graham S., Josef Mautner, & Christian Münz. (2011). Autophagy in herpesvirus immune control and immune escape. PubMed. 2(1). 2–2. 16 indexed citations
17.
Keller, Christian W., Stuart Turville, Anna Lünemann, et al.. (2010). TNF-α Induces Macroautophagy and Regulates MHC Class II Expression in Human Skeletal Muscle Cells. Journal of Biological Chemistry. 286(5). 3970–3980. 101 indexed citations
18.
Comabella, Manuel, Xavier Montalbán, Christian Münz, & Jan D. Lünemann. (2010). Targeting dendritic cells to treat multiple sclerosis. Nature Reviews Neurology. 6(9). 499–507. 59 indexed citations
19.
Paludan, Casper, Dorothee Schmid, Markus Landthaler, et al.. (2004). Endogenous MHC Class II Processing of a Viral Nuclear Antigen After Autophagy. Science. 307(5709). 593–596. 674 indexed citations breakdown →
20.
Hioe, Catarina E., Gareth J. Jones, A. D. M. Rees, et al.. (2000). Anti-CD4-Binding Domain Antibodies Complexed with HIV Type 1 Glycoprotein 120 Inhibit CD4 + T Cell-Proliferative Responses to Glycoprotein 120. AIDS Research and Human Retroviruses. 16(9). 893–905. 18 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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