Wanjun Yan

655 citations
14 papers · 539 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Pharmacology top 10%
    • Flavonoids in Medical Research

Papers in

    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2
    • Flavonoids in Medical Research 4

Wanjun Yan

14 papers receiving 534 citations

Peers

Wanjun Yan
Comparison fields: 5 of 68
  • Cancer Research 135
  • Pharmacology 154
  • Biochemistry 26
  • Applied Microbiology and Biotechnology 8
  • Toxicology 14
Replace Venkateshwar Madka with:
Venkateshwar Madka United States
Mianhua Wu China
Melissa A. Babcook United States
Huei-Fang Liu Taiwan
Yunong Li China
Robert Kleszcz Poland
Quangen Gao China
Ju‐Ha Kim South Korea
Fang Cheng Wong Germany
Deok Yong Sim South Korea
Wanjun Yan relative to Venkateshwar Madka United States Venkateshwar Madka's profile →
Citations per field
00.5×1.5×2×
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 2018199
2 2016106
3
Baicalein suppress EMT of breast cancer by mediating tumor-associated macrophages polarization.
201851
4 202237
5 201829
6 201628
7 201723
8 201618
9 201713
10 201711
11 20169
12 20166
13 20235
14 20244

About Wanjun Yan

Wanjun Yan is a scholar working on Cancer Research, Pharmacology, Biochemistry, Endocrine and Autonomic Systems and Oncology, having authored 14 papers that have together received 539 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), Biochemical Analysis and Sensing Techniques (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cancer Research (135 citations), Pharmacology (154 citations), Biochemistry (26 citations), Applied Microbiology and Biotechnology (8 citations) and Toxicology (14 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, Yafei Zhang and Hong Zhang. Their work appears in journals such as Oncotarget, Drug Design Development and Therapy, Medicine, Frontiers in Immunology and CNS Neuroscience & Therapeutics.

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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