Ron C.J. Schackmann
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Structural Biology top 10%
Papers in
- Oncology 11
- HER2/EGFR in Cancer Research 5
- Cancer Cells and Metastasis 4
-
- Wnt/β-catenin signaling in development and cancer 5
- Single-cell and spatial transcriptomics 2
- Cancer-related gene regulation 2
- Co-authors
- Patrick W.B. Derksen (5 shared papers)Joan S. Brugge (5 shared papers)Milou Tenhagen (3 shared papers)Robert A. H. van de Ven (2 shared papers)Laura M. Selfors (4 shared papers)Carman Man-Chung Li (2 shared papers)Judy E. Garber (2 shared papers)G. Kenneth Gray (3 shared papers)
- Journals
- Cancer Research (3 papers)Gastroenterology (1 paper)Nature Medicine (1 paper)Molecular Cancer Therapeutics (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Ron C.J. Schackmann
15 papers receiving 965 citations
Peers
Comparison fields: 5 of 72
- Oncology 490
- Structural Biology 19
- Biophysics 74
- Cancer Research 165
- Immunology 228
Countries citing papers authored by Ron C.J. Schackmann
This map shows the geographic impact of Ron C.J. Schackmann'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 Ron C.J. Schackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron C.J. Schackmann more than expected).
Fields of papers citing papers by Ron C.J. Schackmann
This network shows the impact of papers produced by Ron C.J. Schackmann. 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 Ron C.J. Schackmann. The network helps show where Ron C.J. Schackmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ron C.J. Schackmann, 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 | 2020 | 165 | |
| 2 | 2010 | 116 | |
| 3 | 2018 | 111 | |
| 4 | 2017 | 110 | |
| 5 | 2011 | 107 | |
| 6 | 2020 | 88 | |
| 7 | 2022 | 76 | |
| 8 | 2013 | 72 | |
| 9 | 2013 | 48 | |
| 10 | 2016 | 46 | |
| 11 | 2015 | 25 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 |
About Ron C.J. Schackmann
Ron C.J. Schackmann is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 15 papers that have together received 974 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), HER2/EGFR in Cancer Research (5 papers), Cancer Cells and Metastasis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (490 citations), Structural Biology (19 citations), Biophysics (74 citations), Cancer Research (165 citations) and Immunology (228 citations). Ron C.J. Schackmann has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Patrick W.B. Derksen, Joan S. Brugge, Milou Tenhagen, Robert A. H. van de Ven, Laura M. Selfors, Carman Man-Chung Li, Judy E. Garber, G. Kenneth Gray, Jennifer M. Rosenbluth and Petra van der Groep. Their work appears in journals such as Cancer Research, Gastroenterology, Nature Medicine, Molecular Cancer Therapeutics and Disease Models & Mechanisms.
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.