Jun Yang

8.2k citations
293 papers · 5.8k · h-index 43

Impact in

    • Carcinogens and Genotoxicity Assessment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • DNA Repair Mechanisms 15
    • Sphingolipid Metabolism and Signaling 10
    • RNA Interference and Gene Delivery 7
    • Lipid Membrane Structure and Behavior 7
    • Carcinogens and Genotoxicity Assessment 7
    • Cancer, Hypoxia, and Metabolism 7

Jun Yang

272 papers receiving 5.7k citations

Peers

Jun Yang
Comparison fields: 5 of 174
  • Cancer Research 794
  • Microbiology 180
  • Molecular Biology 2.0k
  • Aging 48
  • Oncology 644
Replace He Wang with:
He Wang China
Lingyun Zhang China
Dong Chen China
Wei Xiao China
Xiaodong Sun China
Wenhua Li China
Yan Wang China
Annalisa Santucci Italy
Liang Wang China
Ling Zheng China
Jun Yang relative to He Wang China He Wang's profile →
Citations per field
00.5×1.5×
He Wang · 1×
Citations per year

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013274
2 2012213
3 2012149
4
Tumor markers CA19-9, CA242 and CEA in the diagnosis of pancreatic cancer: a meta-analysis.
2015142
5 2011121
6 2014113
7 2002109
8 2011109
9 2012107
10 2004107
11 2006105
12 2004102
13 2015102
14 201695
15 202194
16 202293
17 200691
18 201181
19 201279
20 201479

About Jun Yang

Jun Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Surgery, having authored 293 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), Sphingolipid Metabolism and Signaling (10 papers), RNA Interference and Gene Delivery (7 papers), Cancer-related Molecular Pathways (7 papers), Lipid Membrane Structure and Behavior (7 papers), Parathyroid Disorders and Treatments (7 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Cancer Research (794 citations), Microbiology (180 citations), Molecular Biology (2.0k citations), Aging (48 citations) and Oncology (644 citations). Jun Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Penelope J. Duerksen-Hughes, Yihua Wu, W. Craig Hooper, Xinqiang Zhu, Deborah F. Talkington, Donald J. Phillips, Peiwei Li, Honghe Zhang, Zhongxiang Li and Yu Shi. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, PLoS ONE, Medicine and Clinical Nutrition.

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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