Karin Schaeuble
- Immunology top 2%
- Oncology top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Aging top 2%
- Co-authors
- Daniel E. SpeiserSanjiv A. LutherWerner HeldImran SiddiquiLéonardo ScarpellinoSilvia A. Fuertes MarracoDavid GfellerSandra P. Calderon-Copete
- Topics
- Immunotherapy and Immune Responses (8 papers)T-cell and B-cell Immunology (7 papers)Chemokine receptors and signaling (5 papers)
- Cited by
- AgingImmunologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Karin Schaeuble
16 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 1.3k
- Oncology 1.1k
- Molecular Biology 766
- Physiology 477
- Aging 141
Countries citing papers authored by Karin Schaeuble
This map shows the geographic impact of Karin Schaeuble'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 Karin Schaeuble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schaeuble more than expected).
Fields of papers citing papers by Karin Schaeuble
This network shows the impact of papers produced by Karin Schaeuble. 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 Karin Schaeuble. The network helps show where Karin Schaeuble may publish in the future.
Co-authorship network of co-authors of Karin Schaeuble
This figure shows the co-authorship network connecting the top 25 collaborators of Karin Schaeuble. A scholar is included among the top collaborators of Karin Schaeuble 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 Karin Schaeuble. Karin Schaeuble 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 | CD4+ T cells in cancerbreakdown → | 281 |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | Intratumoral Tcf1+PD-1+CD8+ T Cells with Stem-like Properties Promote Tumor Control in Response to Vaccination and Checkpoint Blockade Immunotherapybreakdown → | 942 |
| 7 | 46 | |
| 8 | 83 | |
| 9 | 26 | |
| 10 | 91 | |
| 11 | 73 | |
| 12 | 41 | |
| 13 | 30 | |
| 14 | 39 | |
| 15 | Mitochondrial Dysfunction Accounts for the Stochastic Heterogeneity in Telomere-Dependent Senescencebreakdown → | 599 |
| 16 | 14 | |
| 17 | 136 |
About Karin Schaeuble
Karin Schaeuble is a scholar working on Aging, Immunology and Biological Psychiatry, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers) and Chemokine receptors and signaling (5 papers). The work is most often cited by research in Aging (141 citations), Immunology (1.3k citations) and Oncology (1.1k citations). Karin Schaeuble has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Daniel E. Speiser, Sanjiv A. Luther, Werner Held, Imran Siddiqui, Léonardo Scarpellino, Silvia A. Fuertes Marraco, David Gfeller, Sandra P. Calderon-Copete, Santiago J. Carmona and Vijaykumar Chennupati. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.