Jun Yan

3.6k citations
124 papers · 2.8k · h-index 29

Impact in

  • Biophysics top 1%
    • Advanced Fluorescence Microscopy Techniques
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Surgical Treatments 24
    • Cancer Cells and Metastasis 9
    • Colorectal Cancer Treatments and Studies 4
    • Photoacoustic and Ultrasonic Imaging 13
    • Bone Tissue Engineering Materials 10

Jun Yan

118 papers receiving 2.7k citations

Peers

Jun Yan
Comparison fields: 5 of 137
  • Biophysics 309
  • Cancer Research 393
  • Oncology 476
  • Biomedical Engineering 766
  • Neurology 87
Replace Edward I. Chang with:
Edward I. Chang United States
Marten A. Engelse Netherlands
Laura Teodori Italy
Mohammad F. Kiani United States
Gero Brockhoff Germany
Moritz A. Konerding Germany
Felix Gremse Germany
George R. Beck United States
Rostic Gorbatov United States
Yoshinori Yoshida Japan
Jun Yan relative to Edward I. Chang United States Edward I. Chang's profile →
Citations per field
00.5×4.0×
Edward I. Chang · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016194
2 2004181
3 2012143
4 2021117
5 2012112
6 202296
7 201995
8 202384
9 201484
10 201382
11 201262
12 201557
13 201154
14 201353
15 201353
16 202149
17 201947
18 201346
19 201141
20 201538

About Jun Yan

Jun Yan is a scholar working on Oncology, Biomedical Engineering, Molecular Biology, Biophysics and Pulmonary and Respiratory Medicine, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (24 papers), Advanced Fluorescence Microscopy Techniques (18 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Bone Tissue Engineering Materials (10 papers), Cancer Cells and Metastasis (9 papers), Gastric Cancer Management and Outcomes (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Biophysics (309 citations), Cancer Research (393 citations), Oncology (476 citations), Biomedical Engineering (766 citations) and Neurology (87 citations). Jun Yan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shuangmu Zhuo, Yumei Zhang, Jianping Lu, Lingzhou Zhao, Gang Chen, Jianxin Chen, S. Thameem Dheen, Eng Ang Ling, Samuel Sam Wah Tay and Wen Song. Their work appears in journals such as Diseases of the Colon & Rectum, PLoS ONE, Surgical Endoscopy, iScience and Annals of Surgical Oncology.

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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