Jun Guo

1.2k citations
63 papers · 934 · h-index 18

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Kawasaki Disease and Coronary Complications 3

Jun Guo

59 papers receiving 906 citations

Peers

Jun Guo
Comparison fields: 5 of 108
  • Mechanical Engineering 244
  • Nephrology 42
  • Cardiology and Cardiovascular Medicine 98
  • Clinical Biochemistry 29
  • Pulmonary and Respiratory Medicine 127
Replace Wojciech Pawlak with:
Wojciech Pawlak Poland
Yihe Hu China
K M John United States
Zechuan Zhang China
Yuxuan Luo China
Katashi Fujii Japan
Jiaze Li China
Hsien‐Te Chen Taiwan
Young Jin Choi South Korea
Xiangqing Kong China
Jun Guo relative to Wojciech Pawlak Poland Wojciech Pawlak's profile →
Citations per field
00.5×6.5×
Wojciech Pawlak · 1×
Citations per year

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201668
3 201660
4 200453
5 201050
6 201549
7 201243
8 201542
9 200739
10 201528
11 201025
12 202123
13 202021
14 201920
15 201919
16 201619
17 201718
18 201318
19 201616
20 201815

About Jun Guo

Jun Guo is a scholar working on Molecular Biology, Surgery, Mechanical Engineering, Genetics and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 934 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (6 papers), Genomics and Rare Diseases (5 papers), Aluminum Alloys Composites Properties (4 papers), Aortic aneurysm repair treatments (4 papers), Aortic Disease and Treatment Approaches (4 papers), Kawasaki Disease and Coronary Complications (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Mechanical Engineering (244 citations), Nephrology (42 citations), Cardiology and Cardiovascular Medicine (98 citations), Clinical Biochemistry (29 citations) and Pulmonary and Respiratory Medicine (127 citations). Jun Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhenglin Du, Ming Jen Tan, Jun Wei, Guijun Bi, Dongsheng Qian, Jie Du, Qingming Yu, Jianhua Zhou, Jiadong Deng and Chanjuan Hao. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Toxicology Letters, Clinica Chimica Acta and Clinical and Experimental Rheumatology.

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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