Chang-Run Guo

1.7k citations
51 papers · 1.5k · h-index 21

Impact in

Papers in

    • Natural product bioactivities and synthesis 5
    • Receptor Mechanisms and Signaling 5
    • Phytochemical Studies and Bioactivities 5
    • Adenosine and Purinergic Signaling 8

Chang-Run Guo

50 papers receiving 1.4k citations

Peers

Chang-Run Guo
Comparison fields: 5 of 116
  • Pharmacology 189
  • Complementary and alternative medicine 133
  • Nephrology 91
  • Biochemistry 68
  • Physiology 47
Replace Punniyakoti T. Veeraveedu with:
Punniyakoti T. Veeraveedu Japan
Tz‐Chong Chou Taiwan
Qian Zhang China
Ada Popolo Italy
Shan Lu China
Jingjing Wu China
Umashanker Navik India
Yichu Nie China
Xiaogang Zhou China
Wenbin Shang China
Chang-Run Guo relative to Punniyakoti T. Veeraveedu Japan Punniyakoti T. Veeraveedu's profile →
Citations per field
00.5×1.5×1.8×
Punniyakoti T. Veeraveedu · 1×
Citations per year

Countries citing papers authored by Chang-Run Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Run Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Run Guo. 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 Chang-Run Guo. The network helps show where Chang-Run Guo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 2012109
3 201395
4 201787
5 201480
6 201377
7 201468
8 201559
9 201459
10 201657
11 201554
12 201251
13 201642
14 201840
15 201639
16 201434
17 201328
18 201524
19 201623
20 201522

About Chang-Run Guo

Chang-Run Guo is a scholar working on Molecular Biology, Physiology, Pharmacology, Pharmacology and Physiology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Natural product bioactivities and synthesis (5 papers), Receptor Mechanisms and Signaling (5 papers), Phytochemical Studies and Bioactivities (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Berberine and alkaloids research (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Pharmacology (189 citations), Complementary and alternative medicine (133 citations), Nephrology (91 citations), Biochemistry (68 citations) and Physiology (47 citations). Chang-Run Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhonglin Yang, Fei Li, Liping Wang, Chun-Feng Zhang, Zhaoqing Meng, Chong‐Zhi Wang, Chun‐Su Yuan, Chunfeng Zhang, Chun-Feng Zhang and Zhenzhong Wang. Their work appears in journals such as Phytomedicine, Journal of Biological Chemistry, Planta Medica, Biomedicine & Pharmacotherapy and Nature Communications.

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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