Mathilde Guérin
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
- Oncology 15
- Cancer Immunotherapy and Biomarkers 6
- HER2/EGFR in Cancer Research 5
- Cancer Treatment and Pharmacology 2
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- Prostate Cancer Treatment and Research 5
- Renal cell carcinoma treatment 4
- Co-authors
- Gwénaëlle Gravis (12 shared papers)Jochen Walz (12 shared papers)Naji Salem (7 shared papers)Jeanne Thomassin‐Piana (5 shared papers)Samuel Granjeaud (4 shared papers)Palma Rocchi (4 shared papers)Daniel Olive (4 shared papers)Alessandro Moretta (2 shared papers)
In The Last Decade
Mathilde Guérin
20 papers receiving 467 citations
Peers
Comparison fields: 5 of 57
- Immunology 248
- Oncology 281
- Pulmonary and Respiratory Medicine 128
- Cancer Research 48
- Genetics 22
Countries citing papers authored by Mathilde Guérin
This map shows the geographic impact of Mathilde Guérin'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 Mathilde Guérin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Guérin more than expected).
Fields of papers citing papers by Mathilde Guérin
This network shows the impact of papers produced by Mathilde Guérin. 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 Mathilde Guérin. The network helps show where Mathilde Guérin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Guérin, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2015 | 156 | |
| 3 | 2017 | 45 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 16 | |
| 7 | 2015 | 12 | |
| 8 | 2021 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2012 | 4 | |
| 13 | 2013 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2023 | 1 |
About Mathilde Guérin
Mathilde Guérin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), HER2/EGFR in Cancer Research (5 papers), Prostate Cancer Treatment and Research (5 papers), Immune Cell Function and Interaction (4 papers), Renal cell carcinoma treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Immunology (248 citations), Oncology (281 citations), Pulmonary and Respiratory Medicine (128 citations), Cancer Research (48 citations) and Genetics (22 citations). Mathilde Guérin has collaborated with scholars based in France, China and Italy. Frequent co-authors include Gwénaëlle Gravis, Jochen Walz, Naji Salem, Jeanne Thomassin‐Piana, Samuel Granjeaud, Palma Rocchi, Daniel Olive, Alessandro Moretta, Christine L. Pasero and Anthony Gonçalvès. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Oncotarget, World Journal of Urology and Cancers.
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.