Sining Chen

62 papers receiving 4.4k citations

Hit Papers

Accumulation of driver and passenger mutations during tumor progression 2010 · 565 citations
56520072026201320194008001.2k

Peers

Sining Chen
Comparison fields: 5 of 165
  • Cancer Research 1.2k
  • Genetics 1.8k
  • Catalysis 355
  • Reproductive Medicine 372
  • Pathology and Forensic Medicine 721
Replace Kevin T. Morgan with:
Kevin T. Morgan United States
Peng Luo China
Thomas J. Lawton United States
Wei Ge China
Chunxia Liu China
Yongjian Chen China
Lingling Zhang China
Juan Ren China
Benjamin J. Madden United States
Chien‐Hung Chen Taiwan
Sining Chen relative to Kevin T. Morgan United States Kevin T. Morgan's profile →
Citations per field
00.5×10×16.2×
Kevin T. Morgan · 1×
Citations per year

Countries citing papers authored by Sining Chen

Since Specialization
Citations

This map shows the geographic impact of Sining Chen'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 Sining Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sining Chen more than expected).

Fields of papers citing papers by Sining Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sining Chen. 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 Sining Chen. The network helps show where Sining Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Sining Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sining Chen Line = papers co-authored together Sining Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Meta-Analysis of BRCA1 and BRCA2 Penetrance
Hit paper breakdown →
20071268
2
Accumulation of driver and passenger mutations during tumor progression
Hit paper breakdown →
2010565
3 2009321
4 2006261
5 2006231
6 2018157
7 2007150
8 2008140
9 2003124
10 2021123
11 2013113
12 2020112
13 2019100
14 201873
15 200966
16 201864
17 201763
18 200458
19 202142
20 201740

About Sining Chen

Sining Chen is a scholar working on Cancer Research, Ecology, Evolution, Behavior and Systematics, Catalysis, Atmospheric Science and Genetics, having authored 68 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Climate change impacts on agriculture (9 papers), Catalytic Processes in Materials Science (8 papers), BRCA gene mutations in cancer (6 papers), Remote Sensing and Land Use (6 papers), Genetic factors in colorectal cancer (5 papers), Plant responses to elevated CO2 (4 papers) and Climate variability and models (4 papers). The work is most often cited by research in Cancer Research (1.2k citations), Genetics (1.8k citations), Catalysis (355 citations), Reproductive Medicine (372 citations) and Pathology and Forensic Medicine (721 citations). Sining Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Giovanni Parmigiani, Kenneth W. Kinzler, Qinghua Yan, Qiang Wang, Bert Vogelstein, Rachel Karchin, Cheng Zhang, Ivana Božić, Dewey Kim and Tibor Antal. Their work appears in journals such as Geomatics Natural Hazards and Risk, Applied Catalysis B: Environmental, Journal of the American Statistical Association, Journal of Clinical Oncology and Catalysis Today.

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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