Gang‐Chun Sun

511 total citations
35 papers, 423 citations indexed

About

Gang‐Chun Sun is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Gang‐Chun Sun has authored 35 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Organic Chemistry and 10 papers in Epidemiology. Recurrent topics in Gang‐Chun Sun's work include Curcumin's Biomedical Applications (10 papers), Autophagy in Disease and Therapy (10 papers) and Metal complexes synthesis and properties (6 papers). Gang‐Chun Sun is often cited by papers focused on Curcumin's Biomedical Applications (10 papers), Autophagy in Disease and Therapy (10 papers) and Metal complexes synthesis and properties (6 papers). Gang‐Chun Sun collaborates with scholars based in China, Russia and United States. Gang‐Chun Sun's co-authors include Guang‐Zhou Zhou, C.T. Sun, Wenpeng Mai, Lingbo Qu, Lu Zhang, Jinwei Yuan, Xiaobing Chen, Zhicheng Li, Xiaobing Chen and Liuqing Cui and has published in prestigious journals such as Molecules, Journal of Materials Science and Autophagy.

In The Last Decade

Gang‐Chun Sun

30 papers receiving 418 citations

Peers

Gang‐Chun Sun
Comparison fields: 5 of 70
  • Molecular Biology 207
  • Organic Chemistry 116
  • Epidemiology 101
  • Molecular Medicine 94
  • Cancer Research 49
Replace Lalita Guntuku with:
Lalita Guntuku India
Vino T. Cheriyan United States
Bhargav N. Waghela India
Aoula Moustapha France
Abdulkader Hago United Arab Emirates
Nathan E. Rainey France
Seyed Omid Sharifzadeh Iran
Maria Coimbra Netherlands
Jinxin Liu China
Vicente Castro-Castillo Chile
Lalita Guntuku India View profile →
Citations per field, relative to Gang‐Chun Sun
Gang‐Chun Sun · 1×
Citations per year, relative to Gang‐Chun Sun
Gang‐Chun Sun · 1×

Countries citing papers authored by Gang‐Chun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Gang‐Chun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang‐Chun Sun. 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 Gang‐Chun Sun. The network helps show where Gang‐Chun Sun may publish in the future.

Co-authorship network of co-authors of Gang‐Chun Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Gang‐Chun Sun. A scholar is included among the top collaborators of Gang‐Chun Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang‐Chun Sun. Gang‐Chun Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 0
3 0
4 34
5 10
6 4
7 8
8 11
9 9
10 37
11 8
12 23
13 35
14 34
15 4
16 0
17 12
18 5
19 7
20 1

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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