Wanjun Yan

641 citations
14 papers · 513 · h-index 10

Impact in

    • Flavonoids in Medical Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2
    • Circular RNAs in diseases 2
    • Glutathione Transferases and Polymorphisms 1

Wanjun Yan

14 papers receiving 507 citations

Peers

Wanjun Yan
Comparison fields: 5 of 68
  • Pharmacology 149
  • Cancer Research 127
  • Molecular Biology 268
  • Biochemistry 23
  • Applied Microbiology and Biotechnology 7
Replace Venkateshwar Madka with:
Venkateshwar Madka United States
Mianhua Wu China
Melissa A. Babcook United States
Huei-Fang Liu Taiwan
Jiani Tan China
Zhujun Tan China
Shreya Kar Singapore
Yunong Li China
Quangen Gao China
Wanjun Yan relative to Venkateshwar Madka United States Venkateshwar Madka's profile →
Citations per field
00.5×1.5×1.8×
Venkateshwar Madka · 1×
Citations per year

Countries citing papers authored by Wanjun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wanjun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018188
2 2016104
3
Baicalein suppress EMT of breast cancer by mediating tumor-associated macrophages polarization.
201850
4 202231
5 201828
6 201627
7 201722
8 201618
9 201713
10 201710
11 20169
12 20165
13 20244
14 20234

About Wanjun Yan

Wanjun Yan is a scholar working on Cancer Research, Molecular Biology, Pharmacology, Oncology and Genetics, having authored 14 papers that have together received 513 indexed citations. Recurring topics across this work include Flavonoids in Medical Research (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Folate and B Vitamins Research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Pharmacology (149 citations), Cancer Research (127 citations), Molecular Biology (268 citations), Biochemistry (23 citations) and Applied Microbiology and Biotechnology (7 citations). Wanjun Yan has collaborated with scholars based in China and France. Frequent co-authors include Xingcong Ma, Shuqun Zhang, Xiaoyao Zhao, Xiaoyan Gao, Shuqun Zhang, Yinan Ma, Jiantao Jiang, Xixi Zhao, Yinbin Zhang and Shu-Qun Zhang. Their work appears in journals such as Oncotarget, Drug Design Development and Therapy, Biochemical and Biophysical Research Communications, Medicine and Cancer Biomarkers.

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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