Jun Yao

4.5k citations
87 papers · 3.0k · h-index 27

Impact in

Papers in

    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 10
    • Circular RNAs in diseases 9
    • Developmental Biology and Gene Regulation 5
    • RNA modifications and cancer 4

Jun Yao

78 papers receiving 3.0k citations

Peers

Jun Yao
Comparison fields: 5 of 120
  • Biological Psychiatry 99
  • Physiology 958
  • Cancer Research 372
  • Molecular Biology 1.5k
  • Neurology 172
Replace Christopher J.B. Nicol with:
Christopher J.B. Nicol Canada
Daret St. Clair United States
Stavit Drori Israel
Ana P. Gomes United States
Xiangdong Xu China
Shaoyu Zhou China
Jeffrey R. Liddell Australia
Bin Hu China
Maria Paola Cerù Italy
Jun Yao relative to Christopher J.B. Nicol Canada Christopher J.B. Nicol's profile →
Citations per field
00.5×1.5×2.2×
Christopher J.B. Nicol · 1×
Citations per year

Countries citing papers authored by Jun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005657
2 2005239
3
Overexpression of the c-erbB-2 gene enhanced intrinsic metastasis potential in human breast cancer cells without increasing their transformation abilities.
1997192
4 2011161
5 2003159
6 2024100
7 201086
8 200773
9 200972
10 201767
11 200663
12 201958
13 200854
14 202052
15 201545
16 201741
17 200741
18 200740
19 202039
20 200638

About Jun Yao

Jun Yao is a scholar working on Cancer Research, Molecular Biology, Oncology, Cell Biology and Physiology, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers), Proteoglycans and glycosaminoglycans research (6 papers), Developmental Biology and Gene Regulation (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Alzheimer's disease research and treatments (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biological Psychiatry (99 citations), Physiology (958 citations), Cancer Research (372 citations), Molecular Biology (1.5k citations) and Neurology (172 citations). Jun Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David M. Stern, Cuijuan Qian, Xi Chen, Shi Du Yan, Hong Wei Xu, Joyce W. Lustbader, Casper S. Caspersen, Ning Wang, Alexander A. Sosunov and Guy M. McKhann. Their work appears in journals such as World Journal of Gastroenterology, Molecular and Cellular Biochemistry, Journal of Bioenergetics and Biomembranes, Life Sciences and The FASEB Journal.

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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