Manuel C. Scheidmann
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 6
- Cancer Cells and Metastasis 6
- CAR-T cell therapy research 1
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Nicola Aceto (7 shared papers)Francesc Castro-Giner (5 shared papers)Barbara M. Szczerba (5 shared papers)Ilona Krol (4 shared papers)Marcus Vetter (3 shared papers)Christoph Rochlitz (3 shared papers)Sofia Gkountela (3 shared papers)Viola Heinzelmann‐Schwarz (3 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Microsystems & Nanoengineering (1 paper)Nature (1 paper)Cell (1 paper)Cancer Research (1 paper)
- Partner nations
- Switzerland
In The Last Decade
Manuel C. Scheidmann
7 papers receiving 1.5k citations
Manuel C. Scheidmann's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 637
- Oncology 1.0k
- Immunology 381
- Biotechnology 82
- Molecular Biology 538
Countries citing papers authored by Manuel C. Scheidmann
This map shows the geographic impact of Manuel C. Scheidmann'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 Manuel C. Scheidmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel C. Scheidmann more than expected).
Fields of papers citing papers by Manuel C. Scheidmann
This network shows the impact of papers produced by Manuel C. Scheidmann. 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 Manuel C. Scheidmann. The network helps show where Manuel C. Scheidmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel C. Scheidmann, 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 | Neutrophils escort circulating tumour cells to enable cell cycle progression Hit paper breakdown → | 2019 | 886 |
| 2 | Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding Hit paper breakdown → | 2019 | 608 |
| 3 | 2021 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2018 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 1 |
About Manuel C. Scheidmann
Manuel C. Scheidmann is a scholar working on Oncology, Cancer Research, Molecular Biology, Biomedical Engineering and Infectious Diseases, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (5 papers), 3D Printing in Biomedical Research (3 papers), Epigenetics and DNA Methylation (2 papers), CAR-T cell therapy research (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Single-cell and spatial transcriptomics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (637 citations), Oncology (1.0k citations), Immunology (381 citations), Biotechnology (82 citations) and Molecular Biology (538 citations). Manuel C. Scheidmann has collaborated with scholars based in Switzerland. Frequent co-authors include Nicola Aceto, Francesc Castro-Giner, Barbara M. Szczerba, Ilona Krol, Marcus Vetter, Christoph Rochlitz, Sofia Gkountela, Viola Heinzelmann‐Schwarz, Ramona Scherrer and Julia Landin. Their work appears in journals such as Journal of Visualized Experiments, Microsystems & Nanoengineering, Nature, Cell and Cancer Research.
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.