Tania Wyss
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 18
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 7
- IL-33, ST2, and ILC Pathways 6
- Immunotherapy and Immune Responses 6
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Pedro Romero (8 shared papers)Frédéric G. Masclaux (4 shared papers)Ian R. Sanders (4 shared papers)Mauro Delorenzi (6 shared papers)Ping‐Chih Ho (3 shared papers)Mélanie Charmoy (4 shared papers)Werner Held (4 shared papers)Sara Trabanelli (6 shared papers)
- Journals
- The ISME Journal (2 papers)Nature Communications (2 papers)The Journal of Experimental Medicine (2 papers)Cell Reports (2 papers)Cell Metabolism (1 paper)
- Partner nations
- SwitzerlandSpainUnited States
In The Last Decade
Tania Wyss
29 papers receiving 929 citations
Peers
Comparison fields: 5 of 98
- Immunology 403
- Oncology 296
- Cancer Research 92
- Insect Science 62
- Plant Science 155
Countries citing papers authored by Tania Wyss
This map shows the geographic impact of Tania Wyss'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 Tania Wyss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Wyss more than expected).
Fields of papers citing papers by Tania Wyss
This network shows the impact of papers produced by Tania Wyss. 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 Tania Wyss. The network helps show where Tania Wyss may publish in the future.
Co-authors
The 25 scholars most cited alongside Tania Wyss, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 130 | |
| 2 | 2020 | 126 | |
| 3 | 2017 | 80 | |
| 4 | 2023 | 71 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 53 | |
| 7 | 2016 | 45 | |
| 8 | 2020 | 36 | |
| 9 | 2022 | 35 | |
| 10 | 2021 | 34 | |
| 11 | 2020 | 33 | |
| 12 | 2013 | 30 | |
| 13 | 2021 | 27 | |
| 14 | 2023 | 24 | |
| 15 | 2022 | 21 | |
| 16 | 2006 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2021 | 13 |
About Tania Wyss
Tania Wyss is a scholar working on Immunology, Oncology, Cell Biology, Surgery and Plant Science, having authored 31 papers that have together received 937 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (7 papers), IL-33, ST2, and ILC Pathways (6 papers), Immunotherapy and Immune Responses (6 papers), Plant Pathogens and Fungal Diseases (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (403 citations), Oncology (296 citations), Cancer Research (92 citations), Insect Science (62 citations) and Plant Science (155 citations). Tania Wyss has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Pedro Romero, Frédéric G. Masclaux, Ian R. Sanders, Mauro Delorenzi, Ping‐Chih Ho, Mélanie Charmoy, Werner Held, Sara Trabanelli, Camilla Jandus and Giuseppe Ercolano. Their work appears in journals such as The ISME Journal, Nature Communications, The Journal of Experimental Medicine, Cell Reports and Cell Metabolism.
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.