Jochen Singer
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
Papers in
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- Cancer Genomics and Diagnostics 8
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- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 1
- Co-authors
- Niko Beerenwinkel (11 shared papers)Christian Beisel (5 shared papers)Ilona Krol (1 shared paper)Manuel C. Scheidmann (1 shared paper)Marcus Vetter (2 shared papers)Barbara M. Szczerba (2 shared papers)Christian Kurzeder (1 shared paper)Ramona Scherrer (1 shared paper)
- Journals
- Bioinformatics (2 papers)Blood (1 paper)Nature Genetics (1 paper)Nature (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jochen Singer
13 papers receiving 1.2k citations
Jochen Singer's Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 401
- Oncology 609
- Immunology 329
- Molecular Biology 390
- Hematology 55
Countries citing papers authored by Jochen Singer
This map shows the geographic impact of Jochen Singer'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 Jochen Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Singer more than expected).
Fields of papers citing papers by Jochen Singer
This network shows the impact of papers produced by Jochen Singer. 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 Jochen Singer. The network helps show where Jochen Singer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jochen Singer, 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 | 928 |
| 2 | 2014 | 56 | |
| 3 | 2017 | 53 | |
| 4 | 2020 | 52 | |
| 5 | 2018 | 52 | |
| 6 | 2017 | 29 | |
| 7 | 2015 | 21 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2025 | 3 | |
| 13 | Entwicklung einer Anpassungsstrategie zur Autosegmentierung des Gehirns der Honigbiene Apis mellifera mittels eines statistischen Formmodells | 2008 | 1 |
About Jochen Singer
Jochen Singer is a scholar working on Cancer Research, Molecular Biology, Oncology, Infectious Diseases and Genetics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Phylogenetic Studies (2 papers), Cancer Cells and Metastasis (2 papers), Acute Myeloid Leukemia Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Renal cell carcinoma treatment (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (401 citations), Oncology (609 citations), Immunology (329 citations), Molecular Biology (390 citations) and Hematology (55 citations). Jochen Singer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Niko Beerenwinkel, Christian Beisel, Ilona Krol, Manuel C. Scheidmann, Marcus Vetter, Barbara M. Szczerba, Christian Kurzeder, Ramona Scherrer, Julia Landin and William P. Weber. Their work appears in journals such as Bioinformatics, Blood, Nature Genetics, Nature and Briefings in Bioinformatics.
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.