Ping Sun

3.7k citations
108 papers · 3.0k · h-index 30

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Ping Sun

107 papers receiving 3.0k citations

Peers

Ping Sun
Comparison fields: 5 of 134
  • Cancer Research 559
  • Neurology 258
  • Immunology and Allergy 181
  • Molecular Biology 1.6k
  • Cell Biology 311
Replace Hsi‐Lung Hsieh with:
Hsi‐Lung Hsieh Taiwan
Ryo Funayama Japan
Jun Yan China
Tokuo T. Yamamoto Japan
Linlin Sun China
Éric Dufour Finland
Lixin Sun China
Ying Xia United States
Yue Wu Zhao China
Rui Zhan China
Ping Sun relative to Hsi‐Lung Hsieh Taiwan Hsi‐Lung Hsieh's profile →
Citations per field
00.5×2×2.6×
Hsi‐Lung Hsieh · 1×
Citations per year

Countries citing papers authored by Ping Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ping Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018203
2 2000139
3 2020121
4 2015109
5 200399
6 200790
7 200380
8 201780
9 200275
10 201871
11 200168
12 200166
13 200765
14 200165
15 200163
16 202056
17 202252
18 201944
19 202143
20 200142

About Ping Sun

Ping Sun is a scholar working on Immunology and Allergy, Molecular Biology, Cancer Research, Plant Science and Cell Biology, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Cell Adhesion Molecules Research (11 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), Plant Molecular Biology Research (6 papers), Microbial metabolism and enzyme function (5 papers), Plant Stress Responses and Tolerance (5 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Cancer Research (559 citations), Neurology (258 citations), Immunology and Allergy (181 citations), Molecular Biology (1.6k citations) and Cell Biology (311 citations). Ping Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Amy S. Paller, Ke‐Jie Yin, Xiao-Qi Wang, Alastair Mitchell Buchan, Xiaoqi Wang, Glen C. Jickling, Da Zhi Liu, Frank R. Sharp, Milton H. Hamblin and Xuejing Zhang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Investigative Dermatology, Stroke, International Journal of Molecular Sciences and Plant Physiology and Biochemistry.

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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