Yann Kieffer
- Oncology top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Fatima Mechta‐GrigoriouAnne Vincent‐SalomonClaire BonneauBrigitte BourachotFloriane PelonIlaria MagagnaAndreï ZinovyevCharles Bernard
- Topics
- Cancer Cells and Metastasis (6 papers)Immune cells in cancer (5 papers)Chemokine receptors and signaling (3 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Yann Kieffer
22 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 2.0k
- Molecular Biology 1.6k
- Immunology 1.1k
- Cancer Research 933
- Pulmonary and Respiratory Medicine 346
Countries citing papers authored by Yann Kieffer
This map shows the geographic impact of Yann Kieffer'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 Yann Kieffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Kieffer more than expected).
Fields of papers citing papers by Yann Kieffer
This network shows the impact of papers produced by Yann Kieffer. 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 Yann Kieffer. The network helps show where Yann Kieffer may publish in the future.
Co-authorship network of co-authors of Yann Kieffer
This figure shows the co-authorship network connecting the top 25 collaborators of Yann Kieffer. A scholar is included among the top collaborators of Yann Kieffer 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 Yann Kieffer. Yann Kieffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 27 | |
| 3 | Deciphering the spatial landscape and plasticity of immunosuppressive fibroblasts in breast cancerbreakdown → | 57 |
| 4 | 14 | |
| 5 | 3 | |
| 6 | Lipid-Associated Macrophages Are Induced by Cancer-Associated Fibroblasts and Mediate Immune Suppression in Breast Cancerbreakdown → | 173 |
| 7 | 53 | |
| 8 | 122 | |
| 9 | Single-Cell Analysis Reveals Fibroblast Clusters Linked to Immunotherapy Resistance in Cancerbreakdown → | 554 |
| 10 | 268 | |
| 11 | 12 | |
| 12 | 45 | |
| 13 | Fibroblast Heterogeneity and Immunosuppressive Environment in Human Breast Cancerbreakdown → | 1170 |
| 14 | 208 | |
| 15 | 68 | |
| 16 | 126 | |
| 17 | 31 | |
| 18 | 38 | |
| 19 | 137 | |
| 20 | 46 |
About Yann Kieffer
Yann Kieffer is a scholar working on Oncology, Cancer Research and Immunology, having authored 23 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Immune cells in cancer (5 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Oncology (2.0k citations), Cancer Research (933 citations) and Immunology (1.1k citations). Yann Kieffer has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Fatima Mechta‐Grigoriou, Anne Vincent‐Salomon, Claire Bonneau, Brigitte Bourachot, Floriane Pelon, Ilaria Magagna, Andreï Zinovyev, Charles Bernard, Philémon Sirven and Ana Costa. Their work appears in journals such as Nature Communications, Cancer Cell 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.