Marcel P. Trefny

4.6k total citations · 3 hit papers
12 papers, 1.7k citations indexed

About

Marcel P. Trefny is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Marcel P. Trefny has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Marcel P. Trefny's work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and CAR-T cell therapy research (5 papers). Marcel P. Trefny is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and CAR-T cell therapy research (5 papers). Marcel P. Trefny collaborates with scholars based in Switzerland, Germany and United States. Marcel P. Trefny's co-authors include Alfred Zippelius, Ping‐Chih Ho, Kirsten D. Mertz, Petra Herzig, Didier Lardinois, Mark Wiese, Ton N. Schumacher, Christian Klein, Andreas Roller and Vaios Karanikas and has published in prestigious journals such as Nature, Nature Medicine and Nature Immunology.

In The Last Decade

Marcel P. Trefny

12 papers receiving 1.7k citations

Hit Papers

A transcriptionally and functionally distinct PD-1+ CD8+ ... 2018 2026 2020 2023 2018 2020 2021 200 400 600
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. A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade
    2018 733 citations Daniela S. Thommen, Viktor H. Koelzer et al. Nature Medicine profile →
  2. CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors
    2020 477 citations Haiping Wang, Fabien Franco et al. Nature Immunology profile →
  3. Hepatic stellate cells suppress NK cell-sustained breast cancer dormancy
    2021 208 citations Ana Luísa Correia, Joao C. Guimaraes et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel P. Trefny Switzerland 9 1.0k 1.0k 445 369 220 12 1.7k
Swetha Anandhan United States 9 951 0.9× 899 0.9× 612 1.4× 202 0.5× 209 0.9× 13 1.8k
Zemin Zhang China 12 612 0.6× 627 0.6× 559 1.3× 298 0.8× 203 0.9× 23 1.3k
Evgenii N. Tcyganov United States 6 947 0.9× 1.5k 1.5× 509 1.1× 239 0.6× 159 0.7× 7 2.0k
Rong En Tay United States 5 890 0.9× 894 0.9× 571 1.3× 173 0.5× 153 0.7× 8 1.5k
Michael A. Cannarile Switzerland 16 770 0.8× 1.3k 1.3× 435 1.0× 157 0.4× 183 0.8× 27 1.9k
Eleni Maniati United Kingdom 19 750 0.7× 708 0.7× 580 1.3× 272 0.7× 155 0.7× 40 1.6k
Tuba N. Gide Australia 12 1.3k 1.3× 985 1.0× 385 0.9× 147 0.4× 240 1.1× 22 1.7k
Adrià Cañellas‐Socias Spain 6 1.0k 1.0× 576 0.6× 493 1.1× 271 0.7× 195 0.9× 7 1.5k
Elisa Rivas Spain 7 1.0k 1.0× 573 0.6× 455 1.0× 255 0.7× 182 0.8× 7 1.4k
Jordi Badia-Ramentol Spain 6 1.1k 1.1× 588 0.6× 491 1.1× 298 0.8× 201 0.9× 7 1.5k

Countries citing papers authored by Marcel P. Trefny

Since Specialization
Citations

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

Fields of papers citing papers by Marcel P. Trefny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel P. Trefny. 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 Marcel P. Trefny. The network helps show where Marcel P. Trefny may publish in the future.

Co-authorship network of co-authors of Marcel P. Trefny

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

All Works

12 of 12 papers shown
1.
Trefny, Marcel P., Guido Kroemer, Laurence Zitvogel, & Sebastian Kobold. (2025). Metabolites as agents and targets for cancer immunotherapy . Nature Reviews Drug Discovery. 24(10). 764–784. 2 indexed citations
2.
Gottschlich, Adrian, Marcel P. Trefny, Sebastian Theurich, et al.. (2024). Beyond CAR T cells: exploring alternative cell sources for CAR-like cellular therapies. Biological Chemistry. 405(7-8). 485–515. 12 indexed citations
3.
Kirchmair, Alexander, Marcel P. Trefny, Anne Krogsdam, et al.. (2023). 13C tracer analysis reveals the landscape of metabolic checkpoints in human CD8+ T cell differentiation and exhaustion. Frontiers in Immunology. 14. 1267816–1267816. 6 indexed citations
4.
Maur, Priska Auf der, et al.. (2023). Unraveling T-cell Exhaustion: Genetic Screening Meets In Vitro Modeling. Cancer Research. 83(23). 3830–3832. 3 indexed citations
5.
Cianciaruso, Chiara, Ruben Bill, Marcel P. Trefny, et al.. (2023). Dual TLR9 and PD-L1 targeting unleashes dendritic cells to induce durable antitumor immunity. Journal for ImmunoTherapy of Cancer. 11(5). e006714–e006714. 14 indexed citations
6.
Kirchhammer, Nicole, Marcel P. Trefny, Priska Auf der Maur, Heinz Läubli, & Alfred Zippelius. (2022). Combination cancer immunotherapies: Emerging treatment strategies adapted to the tumor microenvironment. Science Translational Medicine. 14(670). eabo3605–eabo3605. 127 indexed citations
7.
Correia, Ana Luísa, Joao C. Guimaraes, Priska Auf der Maur, et al.. (2021). Hepatic stellate cells suppress NK cell-sustained breast cancer dormancy. Nature. 594(7864). 566–571. 208 indexed citations breakdown →
8.
Trefny, Marcel P., Michal A. Stanczak, Petra Herzig, et al.. (2020). PD-1+ natural killer cells in human non-small cell lung cancer can be activated by PD-1/PD-L1 blockade. Cancer Immunology Immunotherapy. 69(8). 1505–1517. 65 indexed citations
9.
Wang, Haiping, Fabien Franco, Yao-Chen Tsui, et al.. (2020). CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors. Nature Immunology. 21(3). 298–308. 477 indexed citations breakdown →
10.
Kashyap, Abhishek S., Yun Zhao, Gianni Monaco, et al.. (2019). GEF-H1 Signaling upon Microtubule Destabilization Is Required for Dendritic Cell Activation and Specific Anti-tumor Responses. Cell Reports. 28(13). 3367–3380.e8. 50 indexed citations
11.
He, Zhaoyue, Simon April-Monn, Marcel P. Trefny, et al.. (2018). Biochemical re-programming of human dermal stem cells to neurons by increasing mitochondrial membrane potential. Cell Death and Differentiation. 26(6). 1048–1061. 9 indexed citations
12.
Thommen, Daniela S., Viktor H. Koelzer, Petra Herzig, et al.. (2018). A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade. Nature Medicine. 24(7). 994–1004. 733 indexed citations breakdown →

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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