Mei Sun

6.4k total citations · 3 hit papers
46 papers, 5.1k citations indexed

About

Mei Sun is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mei Sun has authored 46 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Mei Sun's work include Phytochemicals and Antioxidant Activities (5 papers), Cancer-related Molecular Pathways (4 papers) and MicroRNA in disease regulation (3 papers). Mei Sun is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Cancer-related Molecular Pathways (4 papers) and MicroRNA in disease regulation (3 papers). Mei Sun collaborates with scholars based in China, Hong Kong and United States. Mei Sun's co-authors include Harold Corke, Yi‐Zhong Cai, Qiong Luo, Jie Xing, Qiong Luo, Siddharthan Surveswaran, Yu‐Dong Cai, Feral Temelli, Domenico Coppola and Lin Yang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal of Psychiatry.

In The Last Decade

Mei Sun

45 papers receiving 4.7k citations

Hit Papers

Antioxidant activity and phenolic compounds of 112 tradit... 2004 2026 2011 2018 2004 2005 2006 500 1000 1.5k 2.0k

Peers

Mei Sun
Comparison fields: 5 of 142
  • Biochemistry 1.9k
  • Plant Science 1.6k
  • Molecular Biology 1.6k
  • Food Science 1.4k
  • Organic Chemistry 535
Replace Theeshan Bahorun with:
Theeshan Bahorun Mauritius
Ka‐Wing Cheng China
Branca M. Silva Portugal
O. Benavente-García Spain
Hyong Joo Lee South Korea
Pin‐Der Duh Taiwan
Jae‐Hak Moon South Korea
Münir Oktay Türkiye
Alessandra Braca Italy
Ahmet C. Gören Türkiye
Theeshan Bahorun Mauritius View profile →
Citations per field, relative to Mei Sun
Mei Sun · 1×
Citations per year, relative to Mei Sun
Mei Sun · 1×

Countries citing papers authored by Mei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Sun. A scholar is included among the top collaborators of Mei 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 Mei Sun. Mei 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 2
2 9
3 3
4 8
5 9
6 1
7 1
8 6
9 6
10 36
11 11
12 16
13 1
14 7
15 12
16 38
17 177
18
Structure–radical scavenging activity relationships of phenolic compounds from traditional Chinese medicinal plants breakdown →
734
19 59
20
Antioxidant activity and phenolic compounds of 112 traditional Chinese medicinal plants associated with anticancer breakdown →
2301

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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