Mathias Wenes
- Immunology top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 2%
- Epidemiology top 10%
- Co-authors
- Massimiliano MazzonePedro RomeroPing‐Chih HoSofie DeschoemaekerStanley Ching‐Cheng HuangSarah‐Maria FendtXiaoyun LiAndrea Casazza
- Topics
- CAR-T cell therapy research (7 papers)Immune Cell Function and Interaction (7 papers)Immune cells in cancer (6 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- NatureSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- BelgiumSwitzerlandSpain
In The Last Decade
Mathias Wenes
20 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 1.2k
- Molecular Biology 1.1k
- Oncology 937
- Cancer Research 771
- Epidemiology 285
Countries citing papers authored by Mathias Wenes
This map shows the geographic impact of Mathias Wenes'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 Mathias Wenes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Wenes more than expected).
Fields of papers citing papers by Mathias Wenes
This network shows the impact of papers produced by Mathias Wenes. 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 Mathias Wenes. The network helps show where Mathias Wenes may publish in the future.
Co-authorship network of co-authors of Mathias Wenes
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Wenes. A scholar is included among the top collaborators of Mathias Wenes 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 Mathias Wenes. Mathias Wenes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastasesbreakdown → | 144 |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 71 | |
| 5 | 43 | |
| 6 | 15 | |
| 7 | 130 | |
| 8 | 118 | |
| 9 | Navigating metabolic pathways to enhance antitumour immunity and immunotherapybreakdown → | 509 |
| 10 | 48 | |
| 11 | 183 | |
| 12 | 388 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 65 | |
| 16 | Impeding Macrophage Entry into Hypoxic Tumor Areas by Sema3A/Nrp1 Signaling Blockade Inhibits Angiogenesis and Restores Antitumor Immunitybreakdown → | 477 |
| 17 | 203 | |
| 18 | 34 | |
| 19 | 36 | |
| 20 | 153 |
About Mathias Wenes
Mathias Wenes is a scholar working on Immunology, Oncology and Cancer Research, having authored 20 papers that have together received 2.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (7 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (771 citations) and Oncology (937 citations). Mathias Wenes has collaborated with scholars based in Belgium, Switzerland and Spain. Frequent co-authors include Massimiliano Mazzone, Pedro Romero, Ping‐Chih Ho, Sofie Deschoemaeker, Stanley Ching‐Cheng Huang, Sarah‐Maria Fendt, Xiaoyun Li, Andrea Casazza, Luca Tamagnone and Damya Laoui. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.