Jun Wu

5.7k citations
153 papers · 4.6k indexed · h-index 38

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Mesenchymal stem cell research 19
    • Electrospun Nanofibers in Biomedical Applications 20

Jun Wu

148 papers receiving 4.4k citations

Peers

Jun Wu
Comparison fields: 5 of 144
  • Biomaterials 700
  • Genetics 351
  • Cellular and Molecular Neuroscience 566
  • Molecular Biology 1.9k
  • Surgery 1.1k
Replace Lucia Morbidelli with:
Lucia Morbidelli Italy
Lucia Formigli Italy
Maya Simionescu Romania
Shih‐Hwa Chiou Taiwan
Liu Yang China
Ernst J. Wolvetang Australia
Qian Li China
Raija Sormunen Finland
Ming‐Jer Tang Taiwan
Angelo Corti Italy
Jun Wu relative to Lucia Morbidelli Italy Lucia Morbidelli's profile →
Citations per field
00.5×1.5×2.0×
Lucia Morbidelli · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20251
5 20251
6 20250
7 20252
8 20233
9 20237
10 20236
11 202217
12 202243
13 20216
14 202113
15 202067
16 202013
17 201620
18 20144
19
Tectonic-Sedimentary Characteristics of the Ping(Pingxiang)-Le(Leping) Depression in Jiangxi Province and its Implications on Coal Mineral Resource Prospecting
20116
20 1996175

About Jun Wu

Jun Wu is a scholar working on Genetics, Biomaterials, Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery, having authored 153 papers that have together received 4.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (29 papers), Electrospun Nanofibers in Biomedical Applications (20 papers), Mesenchymal stem cell research (19 papers), Sphingolipid Metabolism and Signaling (12 papers), Cardiac Fibrosis and Remodeling (11 papers), Cardiac Ischemia and Reperfusion (10 papers), Glycosylation and Glycoproteins Research (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Biomaterials (700 citations), Genetics (351 citations), Cellular and Molecular Neuroscience (566 citations), Molecular Biology (1.9k citations) and Surgery (1.1k citations). Jun Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ren‐Ke Li, Richard D. Weisel, Gregory M. Fahy, Brian Wowk, Tai-Wing Wu, Hsing‐Wen Sung, Rui‐Dong Duan, S.J. Paynter, Larry Denner and Kwok‐Pui Fung. Their work appears in journals such as Life Sciences, Cell Transplantation, Biomaterials, Biochemistry and Cell Biology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026