Wenjun Yu

893 citations
36 papers · 630 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Urticaria and Related Conditions

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 4

Wenjun Yu

31 papers receiving 620 citations

Peers

Wenjun Yu
Comparison fields: 5 of 102
  • Cancer Research 202
  • Rheumatology 198
  • Genetics 125
  • Pathology and Forensic Medicine 146
  • Hematology 76
Replace D L Boyle with:
D L Boyle United States
Jinil Han South Korea
Weiping Li China
Lawrence D. Adams United States
Ruban Mangadu United States
Lucia Zanatta Italy
Mengjun Ma China
Juan‐Han Yu China
Shun‐Dong Dai China
William A. May United States
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Citations per field
00.5×3.8×
D L Boyle · 1×
Citations per year

Countries citing papers authored by Wenjun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016197
2 201264
3 201455
4 201835
5 201434
6 202330
7 202230
8 201627
9 202124
10 201924
11 201617
12 202313
13 202012
14 202311
15 20249
16 20227
17 20136
18 20245
19
Prognostic value and efficacy evaluation of novel drugs for cytogenetic aberrations in multiple myeloma: a meta-analysis.
20144
20 20204

About Wenjun Yu

Wenjun Yu is a scholar working on Molecular Biology, Cancer Research, Hematology, Surgery and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 630 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced ceramic materials synthesis (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (202 citations), Rheumatology (198 citations), Genetics (125 citations), Pathology and Forensic Medicine (146 citations) and Hematology (76 citations). Wenjun Yu has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Ji‐Fu Wei, Marcus Maurer, Tomasz Hawro, Chunmei Ji, Ling Meng, Zuotao Zhao, Jianyong Li, Xiaoyan Qu, Ji Xu and Shuang Wu. Their work appears in journals such as Medical Oncology, Optics Express, International Journal of Biological Macromolecules, Journal of Allergy and Clinical Immunology and Theranostics.

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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