Marc D. Ryser
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Global Cancer Incidence and Screening
Papers in
- Oncology 23
- Global Cancer Incidence and Screening 17
- Colorectal Cancer Screening and Detection 8
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- Breast Cancer Treatment Studies 15
- Cancer Genomics and Diagnostics 9
- Co-authors
- Svetlana V. Komarova (3 shared papers)Nilima Nigam (3 shared papers)Mathias Worni (4 shared papers)Lingchong You (3 shared papers)Yangxiaolu Cao (3 shared papers)Evan R. Myers (4 shared papers)Lars J. Grimm (11 shared papers)E. Shelley Hwang (3 shared papers)
- Journals
- JNCI Journal of the National Cancer Institute (4 papers)Breast Cancer Research (3 papers)Radiology (3 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)Statistical Methods in Medical Research (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Marc D. Ryser
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 434
- Oncology 427
- Pathology and Forensic Medicine 241
- Modeling and Simulation 52
- Orthopedics and Sports Medicine 75
Countries citing papers authored by Marc D. Ryser
This map shows the geographic impact of Marc D. Ryser'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 Marc D. Ryser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc D. Ryser more than expected).
Fields of papers citing papers by Marc D. Ryser
This network shows the impact of papers produced by Marc D. Ryser. 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 Marc D. Ryser. The network helps show where Marc D. Ryser may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc D. Ryser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2017 | 97 | |
| 3 | 2013 | 89 | |
| 4 | 2018 | 85 | |
| 5 | 2008 | 83 | |
| 6 | 2017 | 79 | |
| 7 | 2016 | 71 | |
| 8 | 2020 | 68 | |
| 9 | 2015 | 52 | |
| 10 | 2021 | 51 | |
| 11 | 2010 | 43 | |
| 12 | 2018 | 36 | |
| 13 | 2012 | 34 | |
| 14 | 2017 | 31 | |
| 15 | 2012 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2020 | 27 | |
| 18 | 2019 | 23 | |
| 19 | 2016 | 22 | |
| 20 | 2014 | 22 |
About Marc D. Ryser
Marc D. Ryser is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Epidemiology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (17 papers), Breast Cancer Treatment Studies (15 papers), Cancer Genomics and Diagnostics (9 papers), Breast Lesions and Carcinomas (9 papers), Colorectal Cancer Screening and Detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Genetic factors in colorectal cancer (4 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Cancer Research (434 citations), Oncology (427 citations), Pathology and Forensic Medicine (241 citations), Modeling and Simulation (52 citations) and Orthopedics and Sports Medicine (75 citations). Marc D. Ryser has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Svetlana V. Komarova, Nilima Nigam, Mathias Worni, Lingchong You, Yangxiaolu Cao, Evan R. Myers, Lars J. Grimm, E. Shelley Hwang, E. Shelley Hwang and Bochong Li. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Breast Cancer Research, Radiology, Cancer Epidemiology Biomarkers & Prevention and Statistical Methods in Medical 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.