Robert Strange
- Oncology top 5%
- Cancer-related Molecular Pathways 7
- Cancer Cells and Metastasis 6
- Cancer Risks and Factors 3
- Cancer Research top 10%
- Immunology and Allergy top 5%
- Molecular Biology top 10%
- Cell death mechanisms and regulation 4
- Wnt/β-catenin signaling in development and cancer 3
- Immunology top 10%
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- Estrogen and related hormone effects 5
- Virus-based gene therapy research 2
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- Cancer Research and Treatments 4
- Co-authors
- Robert R. FriisSusanne SaurerFeng LiArne BurkhardtF. Jon GeskePepper SchedinHenry J. ThompsonRita Lieberman
- Journals
- Microscopy Research and Technique (2 papers)Cell Death and Differentiation (2 papers)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Robert Strange
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Oncology 573
- Cancer Research 273
- Immunology and Allergy 89
- Molecular Biology 802
- Immunology 228
Countries citing papers authored by Robert Strange
This map shows the geographic impact of Robert Strange'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 Robert Strange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Strange more than expected).
Fields of papers citing papers by Robert Strange
This network shows the impact of papers produced by Robert Strange. 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 Robert Strange. The network helps show where Robert Strange may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Strange, 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 | 2022 | 5 | |
| 2 | Prediction of American Football Plays Using Pattern Recognition. | 2014 | 1 |
| 3 | 2014 | 11 | |
| 4 | 2012 | 33 | |
| 5 | 2008 | 28 | |
| 6 | 2004 | 27 | |
| 7 | 2003 | 18 | |
| 8 | 2003 | 30 | |
| 9 | 2002 | 30 | |
| 10 | 2001 | 2 | |
| 11 | 2001 | 127 | |
| 12 | 2001 | 62 | |
| 13 | 2000 | 56 | |
| 14 | 1999 | 42 | |
| 15 | 1997 | 81 | |
| 16 | 1996 | 20 | |
| 17 | 1995 | 13 | |
| 18 | 1995 | 5 | |
| 19 | 1995 | 39 | |
| 20 | 1992 | 470 |
About Robert Strange
Robert Strange is a scholar working on Biotechnology, Oncology, Genetics, Cancer Research and Immunology and Allergy, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer Cells and Metastasis (6 papers), Estrogen and related hormone effects (5 papers), Cell death mechanisms and regulation (4 papers), Cancer Research and Treatments (4 papers), Cancer Risks and Factors (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (573 citations), Cancer Research (273 citations), Immunology and Allergy (89 citations), Molecular Biology (802 citations) and Immunology (228 citations). Robert Strange has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Robert R. Friis, Susanne Saurer, Feng Li, Arne Burkhardt, F. Jon Geske, Pepper Schedin, Henry J. Thompson, Rita Lieberman, L. E. Gerschenson and Mark Kaeck. Their work appears in journals such as Microscopy Research and Technique, Cell Death and Differentiation, JNCI Journal of the National Cancer Institute, Clinical Cancer Research and European Journal of Cancer Prevention.
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.