Jiří Eitler
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Bone health and treatments
Papers in
- Immunology 10
- Immune Cell Function and Interaction 7
- Biomarkers in Disease Mechanisms 2
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immune cells in cancer 2
- Oncology 6
- CAR-T cell therapy research 4
- Co-authors
- Claudia Waskow (3 shared papers)Gülce Itır Perçin (2 shared papers)Mathieu Bohm (2 shared papers)James Muller (1 shared paper)Elvira Mass (2 shared papers)Lucile Crozet (2 shared papers)Tomi Lazarov (2 shared papers)Vijay Kumar Yadav (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Nature Communications (2 papers)Scientific Reports (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Cytotherapy (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jiří Eitler
11 papers receiving 657 citations
Peers
Comparison fields: 5 of 77
- Immunology 270
- Oncology 252
- Orthopedics and Sports Medicine 57
- Molecular Biology 300
- Cancer Research 49
Countries citing papers authored by Jiří Eitler
This map shows the geographic impact of Jiří Eitler'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 Jiří Eitler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Eitler more than expected).
Fields of papers citing papers by Jiří Eitler
This network shows the impact of papers produced by Jiří Eitler. 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 Jiří Eitler. The network helps show where Jiří Eitler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiří Eitler, 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 | 2019 | 388 | |
| 2 | 2020 | 79 | |
| 3 | 2023 | 43 | |
| 4 | 2011 | 38 | |
| 5 | 2018 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2024 | 25 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 3 | |
| 11 | 2020 | 1 | |
| 12 | 2021 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Jiří Eitler
Jiří Eitler is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 662 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (4 papers), Biomarkers in Disease Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Immune cells in cancer (2 papers), Bone Metabolism and Diseases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (270 citations), Oncology (252 citations), Orthopedics and Sports Medicine (57 citations), Molecular Biology (300 citations) and Cancer Research (49 citations). Jiří Eitler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Claudia Waskow, Gülce Itır Perçin, Mathieu Bohm, James Muller, Elvira Mass, Lucile Crozet, Tomi Lazarov, Vijay Kumar Yadav, Frédéric Geissmann and Christian E. Jacome-Galarza. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Scientific Reports, Journal for ImmunoTherapy of Cancer and Cytotherapy.
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.