Marc Wehrli
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 14
- CAR-T cell therapy research 13
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- Immune Cell Function and Interaction 3
- Galectins and Cancer Biology 2
- T-cell and B-cell Immunology 2
- Co-authors
- Marcela V. Maus (12 shared papers)Stephan von Gunten (5 shared papers)Hans‐Uwe Simon (4 shared papers)Christoph Schneider (3 shared papers)Camilla Jandus (2 shared papers)Thomas Démoulins (2 shared papers)Robert E. Hunger (2 shared papers)Gabriela M. Baerlocher (2 shared papers)
- Journals
- Blood (4 papers)Cancer Research (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Seminars in Hematology (1 paper)European Respiratory Review (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Marc Wehrli
23 papers receiving 849 citations
Peers
Comparison fields: 5 of 76
- Immunology 379
- Oncology 364
- Immunology and Allergy 48
- Molecular Biology 348
- Hematology 52
Countries citing papers authored by Marc Wehrli
This map shows the geographic impact of Marc Wehrli'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 Marc Wehrli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Wehrli more than expected).
Fields of papers citing papers by Marc Wehrli
This network shows the impact of papers produced by Marc Wehrli. 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 Marc Wehrli. The network helps show where Marc Wehrli may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Wehrli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 339 | |
| 2 | 2022 | 90 | |
| 3 | 2022 | 89 | |
| 4 | 1994 | 67 | |
| 5 | 2010 | 64 | |
| 6 | 2020 | 50 | |
| 7 | 2014 | 28 | |
| 8 | 2021 | 24 | |
| 9 | 2024 | 19 | |
| 10 | 2024 | 15 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2008 | 2 |
About Marc Wehrli
Marc Wehrli is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Genetics, having authored 24 papers that have together received 859 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (3 papers), Nanowire Synthesis and Applications (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers), T-cell and B-cell Immunology (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Immunology (379 citations), Oncology (364 citations), Immunology and Allergy (48 citations), Molecular Biology (348 citations) and Hematology (52 citations). Marc Wehrli has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Marcela V. Maus, Stephan von Gunten, Hans‐Uwe Simon, Christoph Schneider, Camilla Jandus, Thomas Démoulins, Robert E. Hunger, Gabriela M. Baerlocher, Pedro Romero and Obinna Chijioke. Their work appears in journals such as Blood, Cancer Research, Journal for ImmunoTherapy of Cancer, Seminars in Hematology and European Respiratory Review.
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.