Wangjun Yan

2.1k citations
92 papers · 1.4k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Bone Tumor Diagnosis and Treatments

Papers in

Wangjun Yan

82 papers receiving 1.4k citations

Peers

Wangjun Yan
Comparison fields: 5 of 113
  • Cancer Research 184
  • Rheumatology 144
  • Pulmonary and Respiratory Medicine 290
  • Oncology 235
  • Pathology and Forensic Medicine 150
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Min Dai China
Li Teng China
Lisa Zhou United States
Bing Tu China
Qijie Dai China
Meiling Zheng China
Kewei Ren China
Han Qiao China
Da Silva Brazil
Gang Xu China
Wangjun Yan relative to Min Dai China Min Dai's profile →
Citations per field
00.5×1.5×2.4×
Min Dai · 1×
Citations per year

Countries citing papers authored by Wangjun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wangjun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021201
2 2021132
3 2011114
4 201350
5 201945
6 202244
7 202044
8 201135
9 202434
10 201433
11 201930
12 202128
13 201427
14 201527
15 200925
16 202224
17 201923
18 202220
19 201820
20 201820

About Wangjun Yan

Wangjun Yan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Rheumatology, Molecular Biology and Surgery, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (23 papers), Bone Tumor Diagnosis and Treatments (13 papers), Cutaneous Melanoma Detection and Management (6 papers), MicroRNA in disease regulation (5 papers), Nanoplatforms for cancer theranostics (5 papers), Melanoma and MAPK Pathways (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Vascular Tumors and Angiosarcomas (4 papers). The work is most often cited by research in Cancer Research (184 citations), Rheumatology (144 citations), Pulmonary and Respiratory Medicine (290 citations), Oncology (235 citations) and Pathology and Forensic Medicine (150 citations). Wangjun Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiangchun Zhang, Chunmeng Wang, Weiluo Cai, Wending Huang, Mo Cheng, Zhengwang Sun, Chung S. Yang, Yangbai Sun, Jinsong Zhang and Yufeng He. Their work appears in journals such as Cancer Medicine, European Spine Journal, Journal of Clinical Oncology, Annals of Oncology and Cancer Management and Research.

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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