M Suchan
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 1
-
- Immunotherapy and Immune Responses 4
- Co-authors
- Uğur Şahin (7 shared papers)Mustafa Diken (3 shared papers)Sebastian Kreiter (3 shared papers)Fulvia Vascotto (3 shared papers)Martin Löwer (3 shared papers)Özlem Türeci (3 shared papers)Jan David Beck (3 shared papers)Mathias Vormehr (3 shared papers)
- Journals
- Cancer Cell (2 papers)Molecular Therapy — Nucleic Acids (1 paper)OncoImmunology (1 paper)Nature (1 paper)Cells (1 paper)
- Partner nations
- Germany
In The Last Decade
M Suchan
11 papers receiving 2.5k citations
M Suchan's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 1.3k
- Oncology 1.1k
- Molecular Biology 629
- Biomaterials 69
- Cancer Research 66
Countries citing papers authored by M Suchan
This map shows the geographic impact of M Suchan'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 M Suchan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Suchan more than expected).
Fields of papers citing papers by M Suchan
This network shows the impact of papers produced by M Suchan. 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 M Suchan. The network helps show where M Suchan may publish in the future.
Co-authors
The 25 scholars most cited alongside M Suchan, 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 | Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer Hit paper breakdown → | 2017 | 2014 |
| 2 | An RNA vaccine drives expansion and efficacy of claudin-CAR-T cells against solid tumors Hit paper breakdown → | 2020 | 434 |
| 3 | 2024 | 51 | |
| 4 | 2022 | 48 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | [Investigations on effects of alcohol on receptivity of erythrocyte group agglutinogens in vitro]. | 1956 | 1 |
| 11 | 2023 | 1 |
About M Suchan
M Suchan is a scholar working on Oncology, Immunology, Cancer Research, Hematology and Molecular Biology, having authored 11 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (4 papers), Cancer Genomics and Diagnostics (2 papers), RNA Interference and Gene Delivery (1 paper), Blood groups and transfusion (1 paper), Cell death mechanisms and regulation (1 paper), CAR-T cell therapy research (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Immunology (1.3k citations), Oncology (1.1k citations), Molecular Biology (629 citations), Biomaterials (69 citations) and Cancer Research (66 citations). M Suchan has collaborated with scholars based in Germany. Frequent co-authors include Uğur Şahin, Mustafa Diken, Sebastian Kreiter, Fulvia Vascotto, Martin Löwer, Özlem Türeci, Jan David Beck, Mathias Vormehr, Tim Beißert and Özlem Akilli‐Öztürk. Their work appears in journals such as Cancer Cell, Molecular Therapy — Nucleic Acids, OncoImmunology, Nature and Cells.
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.