Caiping Chen

2.0k citations
68 papers · 1.5k indexed · h-index 21
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research 3
    • Cancer-related molecular mechanisms research 5
    • Breast Cancer Treatment Studies 4
    • Cancer Genomics and Diagnostics 3
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research 3
    • Ubiquitin and proteasome pathways 4
    • Histone Deacetylase Inhibitors Research 4
    • Metabolism, Diabetes, and Cancer 3
  • Genetics top 10%
    • Pharmacological Effects of Natural Compounds 3

Caiping Chen

66 papers receiving 1.5k citations

Peers

Caiping Chen
Comparison fields: 5 of 108
  • Neurology 341
  • Cancer Research 215
  • Neurology 106
  • Molecular Biology 782
  • Genetics 100
Replace Hayato Takeuchi with:
Hayato Takeuchi Japan
Qing Sun China
Jacob Goodwin Australia
Penny E. Lovat United Kingdom
Zhihua Yang China
Lucian Soane United States
Chia-Wen Tsai Taiwan
Wei Xiang China
Song Jin China
Mehdi Eshraghi Iran
Caiping Chen relative to Hayato Takeuchi Japan Hayato Takeuchi's profile →
Citations per field
00.5×4.0×
Hayato Takeuchi · 1×
Citations per year

Countries citing papers authored by Caiping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Caiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20245
4 20240
5 20234
6 20221
7 20224
8 20223
9 202116
10 202139
11 202019
12 202017
13 202037
14 201952
15 201930
16 201840
17 201762
18 20158
19 200944
20 199971

About Caiping Chen

Caiping Chen is a scholar working on Cancer Research, Molecular Medicine and Molecular Biology, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Ubiquitin and proteasome pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Breast Cancer Treatment Studies (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Cancer Genomics and Diagnostics (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Neurology (341 citations), Cancer Research (215 citations) and Neurology (106 citations). Caiping Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Serge Przedborski, Hongbin Sun, Xiaoan Wen, Arthur P. Hays, Ali Naini, Gorazd Rosoklija, Peter Teismann, Christelle Guégan, Haoliang Yuan and Norma B. Romero. Their work appears in journals such as European Journal of Medicinal Chemistry, Annals of Neurology, Bioorganic & Medicinal Chemistry Letters, Cancer Research and Antimicrobial Agents and Chemotherapy.

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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