Shaoping Chen

2.0k citations
46 papers · 1.6k · h-index 20

Impact in

Papers in

Shaoping Chen

43 papers receiving 1.6k citations

Peers

Shaoping Chen
Comparison fields: 5 of 109
  • Cancer Research 236
  • Endocrine and Autonomic Systems 103
  • Oncology 367
  • Molecular Biology 757
  • Cellular and Molecular Neuroscience 193
Replace Nùria Basora with:
Nùria Basora Canada
Meiru Hu China
Yan Xu China
Robert F. Santerre United States
Jo Kate Perry New Zealand
Danijela Đokić United States
Patrick M. Spielmann Switzerland
Herbert Schramek Austria
Ivan Nemazanyy France
Qi Cao China
Shaoping Chen relative to Nùria Basora Canada Nùria Basora's profile →
Citations per field
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Nùria Basora · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997377
2 2008133
3 1998125
4 2009106
5 2009105
6 200799
7 199564
8 200257
9 200257
10 201546
11 199738
12 201333
13 201933
14 200931
15 201130
16 202028
17 201728
18 202121
19 201521
20 202120

About Shaoping Chen

Shaoping Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Cancer Research and Endocrine and Autonomic Systems, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Acupuncture Treatment Research Studies (2 papers), Estrogen and related hormone effects (2 papers), RNA Research and Splicing (2 papers), Congenital Heart Disease Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), ATP Synthase and ATPases Research (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cancer Research (236 citations), Endocrine and Autonomic Systems (103 citations), Oncology (367 citations), Molecular Biology (757 citations) and Cellular and Molecular Neuroscience (193 citations). Shaoping Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yie‐Hwa Chang, Jianxin Sun, Bei You, Guijun Yan, Zhuchun Wu, Benjamin E. Turk, Eric C. Griffith, Zhuang Su, Jun O. Liu and KLAUS BIEMANN. Their work appears in journals such as Pest Management Science, Circulation Research, Journal of Biological Chemistry, Frontiers in Cardiovascular Medicine and BMC Pulmonary Medicine.

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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