Ruping Sun

4.4k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Ruping Sun is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Ruping Sun has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 11 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Ruping Sun's work include Cancer Genomics and Diagnostics (10 papers), Genomics and Rare Diseases (4 papers) and Genetic factors in colorectal cancer (4 papers). Ruping Sun is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Genomics and Rare Diseases (4 papers) and Genetic factors in colorectal cancer (4 papers). Ruping Sun collaborates with scholars based in United States, China and Germany. Ruping Sun's co-authors include Christina Curtis, Zheng Hu, Zhicheng Ma, Jie Ding, Carlos J. Suarez, Peter Birner, Heinz‐Josef Lenz, Carlos Caldas, José A. Seoane and Alfredo Falcone and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Ruping Sun

20 papers receiving 1.1k citations

Hit Papers

Quantitative evidence for early metastatic seeding in col... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruping Sun United States 12 619 613 257 172 122 20 1.1k
Henry Lee-Six United Kingdom 8 534 0.9× 566 0.9× 362 1.4× 171 1.0× 185 1.5× 14 1.1k
Andrew J. Rowan United Kingdom 9 491 0.8× 560 0.9× 328 1.3× 134 0.8× 130 1.1× 12 1.0k
Marco L. Leung United States 7 948 1.5× 939 1.5× 499 1.9× 222 1.3× 151 1.2× 21 1.4k
Inga Hansine Rye Norway 9 606 1.0× 628 1.0× 330 1.3× 226 1.3× 144 1.2× 13 1.1k
Xiuqing Shi China 6 875 1.4× 732 1.2× 469 1.8× 189 1.1× 156 1.3× 9 1.2k
Emma Laks Canada 7 670 1.1× 625 1.0× 257 1.0× 132 0.8× 167 1.4× 7 960
Sara Widaa United Kingdom 3 632 1.0× 762 1.2× 354 1.4× 266 1.5× 159 1.3× 3 1.3k
Justina Biele Canada 6 558 0.9× 473 0.8× 222 0.9× 104 0.6× 162 1.3× 6 781
Raheleh Salari United States 15 422 0.7× 606 1.0× 235 0.9× 114 0.7× 276 2.3× 29 1.0k
Gonzalo Torga United States 11 326 0.5× 327 0.5× 229 0.9× 56 0.3× 51 0.4× 24 668

Countries citing papers authored by Ruping Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ruping Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ruping Sun. A scholar is included among the top collaborators of Ruping Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruping Sun. Ruping Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Νικολακόπουλος, Αθανάσιος Ν., et al.. (2024). Evolving copy number gains promote tumor expansion and bolster mutational diversification. Nature Communications. 15(1). 2025–2025. 5 indexed citations
3.
Khan, Aziz, et al.. (2022). Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline. STAR Protocols. 4(1). 101927–101927. 1 indexed citations
4.
Sun, Ruping. (2022). Automatic identification of illegal intrusion for social media websites. 1143–1148. 1 indexed citations
5.
Sun, Ruping & Αθανάσιος Ν. Νικολακόπουλος. (2021). Elements and evolutionary determinants of genomic divergence between paired primary and metastatic tumors. PLoS Computational Biology. 17(3). e1008838–e1008838. 1 indexed citations
6.
He, Yuanrong, et al.. (2021). Construction and Application of Virtual Experiment Teaching System for Integrated Mapping of Unmanned Ship. IOP Conference Series Earth and Environmental Science. 784(1). 12007–12007. 1 indexed citations
7.
Zahir, Nastaran, Ruping Sun, Daniel Gallahan, Robert A. Gatenby, & Christina Curtis. (2020). Characterizing the ecological and evolutionary dynamics of cancer. Nature Genetics. 52(8). 759–767. 68 indexed citations
8.
Caswell‐Jin, Jennifer L., Katherine McNamara, Johannes G. Reiter, et al.. (2019). Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy. Nature Communications. 10(1). 657–657. 40 indexed citations
9.
Hu, Zheng, Jie Ding, Zhicheng Ma, et al.. (2019). Quantitative evidence for early metastatic seeding in colorectal cancer. Nature Genetics. 51(7). 1113–1122. 289 indexed citations breakdown →
10.
Cho, Seung Woo, Jin Xu, Ruping Sun, et al.. (2018). Promoter of lncRNA Gene PVT1 Is a Tumor-Suppressor DNA Boundary Element. Cell. 173(6). 1398–1412.e22. 313 indexed citations
11.
Sun, Ruping, Zheng Hu, & Christina Curtis. (2017). Big Bang Tumor Growth and Clonal Evolution. Cold Spring Harbor Perspectives in Medicine. 8(5). a028381–a028381. 34 indexed citations
12.
Hu, Zheng, Ruping Sun, & Christina Curtis. (2017). A population genetics perspective on the determinants of intra-tumor heterogeneity. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1867(2). 109–126. 36 indexed citations
13.
Sun, Ruping, Zheng Hu, Andrea Sottoriva, et al.. (2017). Between-region genetic divergence reflects the mode and tempo of tumor evolution. Nature Genetics. 49(7). 1015–1024. 92 indexed citations
14.
Sun, Ruping, Michael I. Love, Tomasz Żemojtel, et al.. (2012). Breakpointer: using local mapping artifacts to support sequence breakpoint discovery from single-end reads. Bioinformatics. 28(7). 1024–1025. 15 indexed citations
15.
Emde, Anne‐Katrin, Marcel H. Schulz, David Weese, et al.. (2012). Detecting genomic indel variants with exact breakpoints in single- and paired-end sequencing data using SplazerS. Bioinformatics. 28(5). 619–627. 39 indexed citations
16.
Love, Michael I., et al.. (2011). Modeling Read Counts for CNV Detection in Exome Sequencing Data. Statistical Applications in Genetics and Molecular Biology. 10(1). 50 indexed citations
17.
Sun, Ruping, Xuping Fu, Yao Li, Yi Xie, & Yumin Mao. (2009). Global gene expression analysis reveals reduced abundance of putative microRNA targets in human prostate tumours. BMC Genomics. 10(1). 93–93. 36 indexed citations
18.
Sun, Ruping. (2009). A strategy for meta-analysis of short time series microarray datasets. Frontiers in bioscience. Volume(14). 4058–4058. 2 indexed citations
19.
Jiang, Mei, Ming Li, Xuping Fu, et al.. (2008). Simultaneously detection of genomic and expression alterations in prostate cancer using cDNA microarray. The Prostate. 68(14). 1496–1509. 20 indexed citations
20.
Li, Xin, Chaoneng Ji, Jian Xu, et al.. (2005). Molecular cloning and characterization of AAAS-V2, a novel splice variant of human AAAS. Molecular Biology Reports. 32(2). 127–131. 9 indexed citations

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.

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