Marco Künzli

1.2k total citations · 2 hit papers
11 papers, 542 citations indexed

About

Marco Künzli is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Marco Künzli has authored 11 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Marco Künzli's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Marco Künzli is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Marco Künzli collaborates with scholars based in United States, Switzerland and Germany. Marco Künzli's co-authors include David Masopust, Carolyn G. King, Ludivine C. Litzler, David Schreiner, Andrew G. Soerens, Clare F. Quarnstrom, Vaiva Vezys, Milcah C. Scott, Ben Youngblood and Jie Sun and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Marco Künzli

11 papers receiving 538 citations

Hit Papers

CD4+ T cell memory 2023 2026 2024 2025 2023 2023 50 100 150

Peers

Marco Künzli
Nicholas N. Jarjour United States
S. Rameeza Allie United States
Christina Helbig Netherlands
Sabrina Imam United States
Tae Jin Yun United States
Mahesh Bachu United States
Daniel Binder United States
Nicholas N. Jarjour United States
Marco Künzli
Citations per year, relative to Marco Künzli Marco Künzli (= 1×) peers Nicholas N. Jarjour

Countries citing papers authored by Marco Künzli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Künzli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Künzli

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

All Works

11 of 11 papers shown
1.
Stolley, J. Michael, Milcah C. Scott, Stephen D. O’Flanagan, et al.. (2024). Cutting Edge: First Lung Infection Permanently Enlarges Lymph Nodes and Enhances New T Cell Responses. The Journal of Immunology. 212(11). 1621–1625. 3 indexed citations
2.
Scott, Milcah C., Zoë Steier, Mark Pierson, et al.. (2024). Deep profiling deconstructs features associated with memory CD8+ T cell tissue residence. Immunity. 58(1). 162–181.e10. 12 indexed citations
3.
Marx, Anna‐Friederike, Weldy V. Bonilla, Marco Künzli, et al.. (2024). Durable lymphocyte subset elimination upon a single dose of AAV-delivered depletion antibody dissects immune control of chronic viral infection. Immunity. 58(2). 481–498.e10. 2 indexed citations
4.
Soerens, Andrew G., Marco Künzli, Clare F. Quarnstrom, et al.. (2023). Functional T cells are capable of supernumerary cell division and longevity. Nature. 614(7949). 762–766. 111 indexed citations breakdown →
5.
Künzli, Marco & David Masopust. (2023). CD4+ T cell memory. Nature Immunology. 24(6). 903–914. 156 indexed citations breakdown →
6.
Künzli, Marco, Stephen D. O’Flanagan, Thamotharampillai Dileepan, et al.. (2022). Route of self-amplifying mRNA vaccination modulates the establishment of pulmonary resident memory CD8 and CD4 T cells. Science Immunology. 7(78). eadd3075–eadd3075. 45 indexed citations
7.
Schreiner, David, Ludivine C. Litzler, Marco Künzli, et al.. (2021). T resident helper cells promote humoral responses in the lung. Science Immunology. 6(55). 103 indexed citations
8.
Künzli, Marco, Peter Reuther, Daniel D. Pinschewer, & Carolyn G. King. (2021). Opposing effects of T cell receptor signal strength on CD4 T cells responding to acute versus chronic viral infection. eLife. 10. 19 indexed citations
9.
Fallet, Bénédict, Karen Cornille, Anna‐Friederike Marx, et al.. (2021). Vaccine-elicited CD4 T cells prevent the deletion of antiviral B cells in chronic infection. Proceedings of the National Academy of Sciences. 118(46). 6 indexed citations
10.
Künzli, Marco, David Schreiner, Tamara C. Pereboom, et al.. (2020). Long-lived T follicular helper cells retain plasticity and help sustain humoral immunity. Science Immunology. 5(45). 78 indexed citations
11.
Miller, Michelle S., Simon J. Mountford, Zhaohua Zheng, et al.. (2016). Development of single and mixed isoform selectivity PI3Kδ inhibitors by targeting Asn836 of PI3Kδ. Bioorganic & Medicinal Chemistry Letters. 26(19). 4790–4794. 7 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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