Marc Schmitz
Impact in
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 0.5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 107
- Immunotherapy and Immune Responses 77
- Immune Cell Function and Interaction 47
- T-cell and B-cell Immunology 36
- Oncology 84
- CAR-T cell therapy research 49
- Cancer Immunotherapy and Biomarkers 38
- Co-authors
- Michael BachmannRebekka WehnerMartin BornhäuserAchim TemmeBernd WeigleE. Peter RieberGerhard EhningerKnut Schäkel
- Journals
- Blood (11 papers)Frontiers in Immunology (9 papers)Cancers (8 papers)OncoImmunology (7 papers)International Journal of Cancer (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Marc Schmitz
166 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 121
- Immunology 3.2k
- Oncology 2.8k
- Genetics 851
- Hematology 601
- Molecular Biology 2.0k
Countries citing papers authored by Marc Schmitz
This map shows the geographic impact of Marc Schmitz'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 Marc Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Schmitz more than expected).
Fields of papers citing papers by Marc Schmitz
This network shows the impact of papers produced by Marc Schmitz. 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 Marc Schmitz. The network helps show where Marc Schmitz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Schmitz, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 31 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 62 | |
| 15 | 2017 | 9 | |
| 16 | 2012 | 17 | |
| 17 | 2012 | 26 | |
| 18 | 2005 | 68 | |
| 19 | 2003 | 48 | |
| 20 | 2003 | 86 |
About Marc Schmitz
Marc Schmitz is a scholar working on Immunology, Oncology, Hematology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 173 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (77 papers), CAR-T cell therapy research (49 papers), Immune Cell Function and Interaction (47 papers), Cancer Immunotherapy and Biomarkers (38 papers), T-cell and B-cell Immunology (36 papers), Hematopoietic Stem Cell Transplantation (19 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Mesenchymal stem cell research (12 papers). The work is most often cited by research in Immunology (3.2k citations), Oncology (2.8k citations), Genetics (851 citations), Hematology (601 citations) and Molecular Biology (2.0k citations). Marc Schmitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Bachmann, Rebekka Wehner, Martin Bornhäuser, Achim Temme, Bernd Weigle, E. Peter Rieber, Gerhard Ehninger, Knut Schäkel, Marc Cartellieri and Ernst Peter Rieber. Their work appears in journals such as Blood, Frontiers in Immunology, Cancers, OncoImmunology and International Journal of Cancer.
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.