Ruping Sun
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Modeling and Simulation top 5%
Papers in ⓘ
-
- Cancer Genomics and Diagnostics 10
- Cancer-related molecular mechanisms research 3
-
- Mathematical Biology Tumor Growth 3
- Co-authors
- Christina Curtis (7 shared papers)Zheng Hu (5 shared papers)Zhicheng Ma (3 shared papers)Jie Ding (2 shared papers)Carlos J. Suarez (2 shared papers)Peter Birner (1 shared paper)Chiara Cremolini (1 shared paper)Heinz‐Josef Lenz (1 shared paper)
- Journals
- Nature Genetics (3 papers)Nature Communications (2 papers)Bioinformatics (2 papers)Frontiers in bioscience (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ruping Sun
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 619
- Modeling and Simulation 52
- Oncology 257
- Molecular Biology 613
- Pathology and Forensic Medicine 122
Countries citing papers authored by Ruping Sun
This map shows the geographic impact of Ruping Sun'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 Ruping Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruping Sun more than expected).
Fields of papers citing papers by Ruping Sun
This network shows the impact of papers produced by Ruping Sun. 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 Ruping Sun. The network helps show where Ruping Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruping Sun, 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 | 2018 | 313 | |
| 2 | Quantitative evidence for early metastatic seeding in colorectal cancer Hit paper breakdown → | 2019 | 289 |
| 3 | 2017 | 92 | |
| 4 | 2020 | 68 | |
| 5 | 2011 | 50 | |
| 6 | 2019 | 40 | |
| 7 | 2012 | 39 | |
| 8 | 2017 | 36 | |
| 9 | 2009 | 36 | |
| 10 | 2017 | 34 | |
| 11 | 2008 | 20 | |
| 12 | 2012 | 15 | |
| 13 | 2005 | 9 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2009 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 1 |
About Ruping Sun
Ruping Sun is a scholar working on Cancer Research, Modeling and Simulation, Genetics, Pathology and Forensic Medicine and Gastroenterology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (4 papers), Evolution and Genetic Dynamics (4 papers), Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Mathematical Biology Tumor Growth (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (619 citations), Modeling and Simulation (52 citations), Oncology (257 citations), Molecular Biology (613 citations) and Pathology and Forensic Medicine (122 citations). Ruping Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christina Curtis, Zheng Hu, Zhicheng Ma, Jie Ding, Carlos J. Suarez, Peter Birner, Chiara Cremolini, Heinz‐Josef Lenz, Suet‐Feung Chin and Anna S. Berghoff. Their work appears in journals such as Nature Genetics, Nature Communications, Bioinformatics, Frontiers in bioscience and The Prostate.
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.