Ju Wang

665 citations
26 papers · 497 · h-index 15

Impact in

    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications
  • Dermatology top 10%
    • Skin Protection and Aging

Papers in

Ju Wang

26 papers receiving 489 citations

Peers

Ju Wang
Comparison fields: 5 of 111
  • Biomaterials 81
  • Dermatology 49
  • Building and Construction 83
  • Biological Psychiatry 9
  • Rehabilitation 21
Replace Yuyu Sun with:
Yuyu Sun China
Jessica L. Feig United States
Emily E. Friedrich United States
Beibei Lin China
Choon Shik Youn South Korea
Bradley Hubbard United States
Lihua Yang China
Zehua Wang China
Laura Benedetti Italy
Ewa Markiewicz United Kingdom
Ju Wang relative to Yuyu Sun China Yuyu Sun's profile →
Citations per field
00.5×2×3×4.5×
Yuyu Sun · 1×
Citations per year

Countries citing papers authored by Ju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201943
3 201643
4 201329
5 201828
6 201226
7 201724
8 202023
9 202022
10 201420
11 202020
12 202019
13 201618
14 202016
15 201916
16 202113
17 202112
18 201411
19 200710
20 202210

About Ju Wang

Ju Wang is a scholar working on Molecular Biology, Dermatology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Building and Construction, having authored 26 papers that have together received 497 indexed citations. Recurring topics across this work include Skin Protection and Aging (3 papers), Dyeing and Modifying Textile Fibers (3 papers), Computational Drug Discovery Methods (2 papers), Folate and B Vitamins Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Silk-based biomaterials and applications (1 paper), BRCA gene mutations in cancer (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Biomaterials (81 citations), Dermatology (49 citations), Building and Construction (83 citations), Biological Psychiatry (9 citations) and Rehabilitation (21 citations). Ju Wang has collaborated with scholars based in China and United States. Frequent co-authors include Shilei Hao, Bochu Wang, Tiantian Luo, Qian Yang, Tao Zhou, Xin Yang, Tingwang Guo, Ming D. Li, Song Jin and Xiaoxuan Hu. Their work appears in journals such as Materials Science and Engineering C, PLoS ONE, Artificial Cells Nanomedicine and Biotechnology, Frontiers in Psychology and Clinical Rehabilitation.

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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