Shu Jun Yang

2.4k citations
82 papers · 1.9k · h-index 24

Impact in

Papers in

Shu Jun Yang

75 papers receiving 1.9k citations

Peers

Shu Jun Yang
Comparison fields: 5 of 137
  • Cancer Research 440
  • Environmental Chemistry 279
  • Oceanography 141
  • Molecular Biology 723
  • Infectious Diseases 125
Replace Brian D. Dill with:
Brian D. Dill United States
Qinyu Ge China
Beilei Wang China
Zou Xiang China
Xiao Chen China
Seong-Jin Kim South Korea
Yan Xiao China
Feiyan Pan China
Yabing Chen China
Katharine A. Muirhead United States
Shu Jun Yang relative to Brian D. Dill United States Brian D. Dill's profile →
Citations per field
00.5×1.5×
Brian D. Dill · 1×
Citations per year

Countries citing papers authored by Shu Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018159
2 2018139
3 2013100
4 201685
5 201674
6 201863
7 201461
8 200960
9 202058
10 202357
11 202355
12 201655
13 202052
14 201750
15 201846
16 201445
17 201040
18 201638
19 201538
20 201638

About Shu Jun Yang

Shu Jun Yang is a scholar working on Cancer Research, Environmental Chemistry, Genetics, Oncology and Molecular Biology, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Circular RNAs in diseases (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Mosquito-borne diseases and control (5 papers), Lysosomal Storage Disorders Research (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (440 citations), Environmental Chemistry (279 citations), Oceanography (141 citations), Molecular Biology (723 citations) and Infectious Diseases (125 citations). Shu Jun Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fei Ying Yang, Xuechao Wan, Yao Li, Yalong Zhang, Jian Guo, Yao Li, Isaac Yaw Massey, Hai Jun Wu, Yan Huang and Wei Xu. Their work appears in journals such as Journal of Toxicology and Environmental Health, Oncotarget, Frontiers in Oncology, Cancer Biomarkers and European Journal of Nuclear Medicine and Molecular Imaging.

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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