Lukas Baitsch
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Galectins and Cancer Biology 1
- Oncology 6
- CAR-T cell therapy research 6
- Co-authors
- Daniel E. Speiser (10 shared papers)Amandine Legat (3 shared papers)Nathalie Rufer (7 shared papers)Petra Baumgaertner (6 shared papers)Pedro Romero (4 shared papers)Leticia Barba (2 shared papers)Hanifa Bouzourène (2 shared papers)Sébastien Wieckowski (4 shared papers)
- Journals
- Journal of Clinical Investigation (2 papers)PLoS ONE (1 paper)Trends in Immunology (1 paper)Journal of Immunotherapy (1 paper)The EMBO Journal (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Lukas Baitsch
13 papers receiving 1.5k citations
Lukas Baitsch's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 973
- Oncology 909
- Cancer Research 100
- Molecular Biology 373
- Pharmaceutical Science 28
Countries citing papers authored by Lukas Baitsch
This map shows the geographic impact of Lukas Baitsch'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 Lukas Baitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Baitsch more than expected).
Fields of papers citing papers by Lukas Baitsch
This network shows the impact of papers produced by Lukas Baitsch. 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 Lukas Baitsch. The network helps show where Lukas Baitsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Baitsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patients Hit paper breakdown → | 2011 | 677 |
| 2 | 2012 | 148 | |
| 3 | 2012 | 127 | |
| 4 | 2013 | 101 | |
| 5 | 2014 | 97 | |
| 6 | 2015 | 97 | |
| 7 | 2011 | 61 | |
| 8 | 2011 | 44 | |
| 9 | 2015 | 43 | |
| 10 | 2009 | 43 | |
| 11 | 2009 | 36 | |
| 12 | 2011 | 19 | |
| 13 | 2012 | 17 |
About Lukas Baitsch
Lukas Baitsch is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Chronic Myeloid Leukemia Treatments (1 paper), Galectins and Cancer Biology (1 paper), FOXO transcription factor regulation (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Immunology (973 citations), Oncology (909 citations), Cancer Research (100 citations), Molecular Biology (373 citations) and Pharmaceutical Science (28 citations). Lukas Baitsch has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Daniel E. Speiser, Amandine Legat, Nathalie Rufer, Petra Baumgaertner, Pedro Romero, Leticia Barba, Hanifa Bouzourène, Sébastien Wieckowski, Estelle Devêvre and Sunil K. Raghav. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE, Trends in Immunology, Journal of Immunotherapy and The EMBO Journal.
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.