Wei Sun

2.3k citations
114 papers · 1.7k · h-index 22

Impact in

Papers in

    • Hair Growth and Disorders 20
    • melanin and skin pigmentation 8
    • Skin and Cellular Biology Research 7

Wei Sun

107 papers receiving 1.7k citations

Peers

Wei Sun
Comparison fields: 5 of 116
  • Urology 122
  • Gastroenterology 109
  • Cancer Research 188
  • Cell Biology 209
  • Molecular Biology 793
Replace Jan Geliebter with:
Jan Geliebter United States
Yoshimi Miki Japan
Maria Pierdomenico Italy
Anna Negroni Italy
Yoshinori Sugiyama Japan
Ragna Sack Switzerland
Ivonne M.J.J. van Vlijmen‐Willems Netherlands
Santosh Kumar Anand India
Vanesa Muncan Netherlands
Mami Suzuki Japan
Wei Sun relative to Jan Geliebter United States Jan Geliebter's profile →
Citations per field
00.5×2×3×4.3×
Jan Geliebter · 1×
Citations per year

Countries citing papers authored by Wei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Wei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015189
2 2006129
3 201084
4
High susceptibility of a human breast epithelial cell type with stem cell characteristics to telomerase activation and immortalization.
199961
5 201955
6 201054
7 201048
8 201548
9 200046
10 201044
11 199240
12 202039
13 202137
14
Involvement of tyrosine phosphorylation of p185(c-erbB2/neu) in tumorigenicity induced by X-rays and the neu oncogene in human breast epithelial cells.
199835
15 200833
16 202030
17 201930
18 199829
19 202124
20 202024

About Wei Sun

Wei Sun is a scholar working on Urology, Cell Biology, Cancer Research, Molecular Biology and Immunology, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hair Growth and Disorders (20 papers), Cancer-related molecular mechanisms research (15 papers), melanin and skin pigmentation (8 papers), Aquaculture disease management and microbiota (8 papers), RNA Research and Splicing (8 papers), Skin and Cellular Biology Research (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Urology (122 citations), Gastroenterology (109 citations), Cancer Research (188 citations), Cell Biology (209 citations) and Molecular Biology (793 citations). Wei Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cungui Mao, Ruijuan Xu, Lina Marie Obeid, Zdzisław M. Szulc, Hai Li, Yung‐Cheng Huang, Jacek Bielawski, Bo Zhou, Wei Ming Hu and Junfei Jin. Their work appears in journals such as Genes, Animals, Aquaculture, PLoS ONE and International Journal of Molecular Sciences.

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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