Ruping Sun
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Lung Cancer Research Studies
Papers in
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- Cancer Genomics and Diagnostics 11
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- Mathematical Biology Tumor Growth 4
- Co-authors
- Christina N. Curtis (6 shared papers)Zheng Yu Hu (4 shared papers)Zhicheng Ma (3 shared papers)Jie Ding (2 shared papers)Carlos J. Suarez (2 shared papers)José Antonio Seoane (1 shared paper)Fotios Loupakis (1 shared paper)Anna Sophie Berghoff (1 shared paper)
- Journals
- Nature Genetics (4 papers)Nature Communications (4 papers)Bioinformatics (2 papers)Cancer Discovery (1 paper)Cell (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ruping Sun
26 papers receiving 3.2k citations
Ruping Sun's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 949
- Oncology 1.5k
- Epidemiology 748
- Pulmonary and Respiratory Medicine 630
- Molecular Biology 1.3k
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer Hit paper breakdown → | 2012 | 1157 |
| 2 | 2018 | 362 | |
| 3 | 2019 | 350 | |
| 4 | 2018 | 299 | |
| 5 | 2014 | 249 | |
| 6 | 2014 | 246 | |
| 7 | 2017 | 107 | |
| 8 | 2023 | 86 | |
| 9 | 2020 | 84 | |
| 10 | 2011 | 53 | |
| 11 | 2012 | 52 | |
| 12 | 2019 | 45 | |
| 13 | 2015 | 42 | |
| 14 | 2017 | 36 | |
| 15 | 2009 | 36 | |
| 16 | 2008 | 20 | |
| 17 | 2012 | 19 | |
| 18 | 2005 | 9 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 6 |
About Ruping Sun
Ruping Sun is a scholar working on Cancer Research, Modeling and Simulation, Oncology, Genetics and Molecular Biology, having authored 26 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Mathematical Biology Tumor Growth (4 papers), Genomics and Phylogenetic Studies (3 papers), Lung Cancer Research Studies (3 papers), Evolution and Genetic Dynamics (3 papers), Genetic factors in colorectal cancer (3 papers), RNA modifications and cancer (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (949 citations), Oncology (1.5k citations), Epidemiology (748 citations), Pulmonary and Respiratory Medicine (630 citations) and Molecular Biology (1.3k citations). Ruping Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christina N. Curtis, Zheng Yu Hu, Zhicheng Ma, Jie Ding, Carlos J. Suarez, José Antonio Seoane, Fotios Loupakis, Anna Sophie Berghoff, Alfredo Falcone and Matthias Preusser. Their work appears in journals such as Nature Genetics, Nature Communications, Bioinformatics, Cancer Discovery and Cell.
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.