Shaoping Chen

2.0k citations
48 papers · 1.5k · h-index 19

Impact in

Papers in

Shaoping Chen

44 papers receiving 1.5k citations

Peers

Shaoping Chen
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 102
  • Cancer Research 219
  • Oncology 341
  • Molecular Biology 738
  • Cellular and Molecular Neuroscience 183
Replace Keesook Lee with:
Keesook Lee South Korea
Mark W. Nachtigal Canada
Robert F. Santerre United States
Patrick Spielmann Switzerland
Francesca Trapani Italy
Herbert Schramek Austria
Myung-Jin Kim South Korea
Elitsa Y. Dimova Finland
Shaoping Chen relative to Keesook Lee South Korea Keesook Lee's profile →
Citations per field
00.5×2.7×
Keesook Lee · 1×
Citations per year

Countries citing papers authored by Shaoping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaoping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoping 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 Shaoping Chen Line = papers co-authored together Shaoping Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997358
2 1998126
3 2008125
4 2009102
5 200799
6 200994
7 199569
8 200257
9 200250
10 201542
11 199738
12 201931
13 201331
14 200930
15 201129
16 202028
17 201724
18 202120
19 202119
20 201518

About Shaoping Chen

Shaoping Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Epidemiology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Acupuncture Treatment Research Studies (2 papers), RNA Research and Splicing (2 papers), ATP Synthase and ATPases Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Estrogen and related hormone effects (2 papers), Fungal and yeast genetics research (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (102 citations), Cancer Research (219 citations), Oncology (341 citations), Molecular Biology (738 citations) and Cellular and Molecular Neuroscience (183 citations). Shaoping Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yie‐Hwa Chang, K. Biemann, Zhuang Su, Jianxin Sun, Jun O. Liu, Eric C. Griffith, Benjamin E. Turk, Zhuchun Wu, Bei You and Guijun Yan. Their work appears in journals such as Pest Management Science, Circulation Research, Journal of Biological Chemistry, Neuroreport and Thrombosis 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.

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