Wenjun Yu

917 citations
37 papers · 667 · h-index 14

Impact in

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

Papers in

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

Wenjun Yu

31 papers receiving 655 citations

Peers

Wenjun Yu
Comparison fields: 5 of 96
  • Rheumatology 207
  • Cancer Research 179
  • Genetics 91
  • Hematology 70
  • Pathology and Forensic Medicine 103
Replace Lucia Zanatta with:
Lucia Zanatta Italy
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Akilan Krishnamurthy Sweden
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Ruban Mangadu United States
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Wenjun Yu relative to Lucia Zanatta Italy Lucia Zanatta's profile →
Citations per field
00.5×4.5×
Lucia Zanatta · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016207
2 201265
3 201457
4 201836
5 201435
6 202332
7 202230
8 202130
9 201627
10 201924
11 201617
12 202315
13 202014
14 202413
15 202312
16 20249
17 20228
18 20136
19 20204
20
Prognostic value and efficacy evaluation of novel drugs for cytogenetic aberrations in multiple myeloma: a meta-analysis.
20144

About Wenjun Yu

Wenjun Yu is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Surgery, having authored 37 papers that have together received 667 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Multiple Myeloma Research and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers), Peptidase Inhibition and Analysis (2 papers), Advanced ceramic materials synthesis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Rheumatology (207 citations), Cancer Research (179 citations), Genetics (91 citations), Hematology (70 citations) and Pathology and Forensic Medicine (103 citations). Wenjun Yu has collaborated with scholars based in China, Germany and Norway. Frequent co-authors include Zuotao Zhao, Tomasz Hawro, Chunmei Ji, Ling Meng, Marcus Maurer, Ji‐Fu Wei, Jianyong Li, Xiaoyan Qu, Shuang Wu and Ji Xu. Their work appears in journals such as Medical Oncology, Frontiers in Earth Science, Blood, Journal of the Neurological Sciences and International Immunopharmacology.

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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