Junwei Guo

440 citations
35 papers · 352 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Bone Metabolism and Diseases
    • Ubiquitin and proteasome pathways
    • RNA Interference and Gene Delivery

Papers in

Junwei Guo

32 papers receiving 349 citations

Peers

Junwei Guo
Comparison fields: 5 of 92
  • Cancer Research 38
  • Molecular Biology 137
  • Biomaterials 22
  • Oncology 37
  • Cell Biology 23
Replace Eun Jung Kwon with:
Eun Jung Kwon South Korea
Baohua Xu China
Weibin Sun China
Chenqi Luo China
Lan Feng China
Vadim V. Elagin Russia
Joseph M. Labuz United States
Chae Yun Bae South Korea
M. Manimaran Singapore
Honghao Yu China
Junwei Guo relative to Eun Jung Kwon South Korea Eun Jung Kwon's profile →
Citations per field
00.5×2×4×6×7.5×
Eun Jung Kwon · 1×
Citations per year

Countries citing papers authored by Junwei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201442
2 201141
3 201237
4 201436
5 201423
6 201215
7 200914
8 201114
9 201113
10 201410
11 201110
12 20148
13 20118
14 20147
15 20247
16 20146
17 20136
18 20246
19 20076
20 20256

About Junwei Guo

Junwei Guo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Molecular Biology, Genetics and Cancer Research, having authored 35 papers that have together received 352 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced Vision and Imaging (3 papers), TGF-β signaling in diseases (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Augmented Reality Applications (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Cancer Research (38 citations), Molecular Biology (137 citations), Biomaterials (22 citations), Oncology (37 citations) and Cell Biology (23 citations). Junwei Guo has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhijie Chang, Fangli Ren, Yinyin Wang, Zhao Wang, Jing Liu, Kenichi Harimoto, Stephen M. Hinshaw, Xiaoyan Wang, Xiaolin Duan and Xialian Xu. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Bone and Mineral Research, Journal of Applied Polymer Science, Bioscience Biotechnology and Biochemistry and Electrochemistry Communications.

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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