Sandrine Guérin
- Molecular Biology
- Immunology top 10%
- Oncology
- Cancer Research
- Hematology top 10%
- Co-authors
- Patrick AubergerJacques PouysségurGilles PagèsDominique GrallFrédéric BoninoFabienne AnjuèreAustin SmithBernard Mari
- Topics
- Peptidase Inhibition and Analysis (4 papers)T-cell and B-cell Immunology (4 papers)Neuropeptides and Animal Physiology (3 papers)
In The Last Decade
Sandrine Guérin
16 papers receiving 802 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 466
- Immunology 257
- Oncology 185
- Cancer Research 102
- Hematology 93
Countries citing papers authored by Sandrine Guérin
This map shows the geographic impact of Sandrine 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 Sandrine Guérin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandrine Guérin more than expected).
Fields of papers citing papers by Sandrine Guérin
This network shows the impact of papers produced by Sandrine 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 Sandrine Guérin. The network helps show where Sandrine Guérin may publish in the future.
Co-authorship network of co-authors of Sandrine Guérin
This figure shows the co-authorship network connecting the top 25 collaborators of Sandrine Guérin. A scholar is included among the top collaborators of Sandrine Guérin 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 Sandrine Guérin. Sandrine Guérin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Peripheral blood lymphocytes from patients with rheumatoid arthritis are differentially sensitive to apoptosis induced by anti-tumour necrosis factor-alpha therapy. | 12 |
| 2 | 21 | |
| 3 | 19 | |
| 4 | 30 | |
| 5 | Defective Thymocyte Maturation in p44 MAP Kinase (Erk 1) Knockout Micebreakdown → | 544 |
| 6 | 13 | |
| 7 | 34 | |
| 8 | Synergistic effects of colony-stimulating factor 1 and leukemia inhibitory factor in inducing early myeloid cell differentiation. | 6 |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 26 | |
| 14 | 67 | |
| 15 | High levels of functional endopeptidase 24.11 (CD10) activity on human thymocytes: preferential expression on immature subsets. | 10 |
| 16 | Les foraminifères dans les faciès "black shales" et assimilés : quelques réflexions sur le modèle vocontien au Crétacé inférieur | 1 |
About Sandrine Guérin
Sandrine Guérin is a scholar working on Immunology, Oncology and Hematology, having authored 16 papers that have together received 816 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), T-cell and B-cell Immunology (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Immunology (257 citations), Hematology (93 citations) and Immunology and Allergy (43 citations). Sandrine Guérin has collaborated with scholars based in France, Mali and Morocco. Frequent co-authors include Patrick Auberger, Jacques Pouysségur, Gilles Pagès, Dominique Grall, Frédéric Bonino, Fabienne Anjuère, Austin Smith, Bernard Mari, Nathalie Belhacène and Laurence Maulon. Their work appears in journals such as Science, Blood and The Journal of Immunology.
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.