Wei Ji

3.5k citations
96 papers · 2.8k · h-index 30

Impact in

  • Biomaterials top 0.5%
    • Electrospun Nanofibers in Biomedical Applications
    • Supramolecular Self-Assembly in Materials
    • Silk-based biomaterials and applications
    • Nanoparticle-Based Drug Delivery
  • Urology top 5%

Papers in

Wei Ji

88 papers receiving 2.8k citations

Peers

Wei Ji
Comparison fields: 5 of 141
  • Biomaterials 1.2k
  • Urology 145
  • Biomedical Engineering 901
  • Surfaces, Coatings and Films 115
  • Cancer Research 239
Replace Bo Yu with:
Bo Yu China
Albino Martins Portugal
Shiva Irani Iran
Francesca Taraballi United States
Adam C. Midgley China
Ruoyu Cheng China
Daniel Lozano Spain
Garry P. Duffy Ireland
Yaşar Murat Elçin Türkiye
Wei Ji relative to Bo Yu China Bo Yu's profile →
Citations per field
00.5×1.5×2.0×
Bo Yu · 1×
Citations per year

Countries citing papers authored by Wei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010317
2 2012146
3 2010145
4 2012143
5 2012116
6 2016108
7 2011101
8 201885
9 201578
10 202177
11 201775
12 201875
13 200657
14 201756
15 201152
16 201750
17 201546
18 201545
19 201844
20 202244

About Wei Ji

Wei Ji is a scholar working on Molecular Biology, Biomaterials, Surgery, Biomedical Engineering and Oncology, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Mesenchymal stem cell research (9 papers), Bone Tissue Engineering Materials (9 papers), Periodontal Regeneration and Treatments (6 papers), Cancer Cells and Metastasis (6 papers), RNA Interference and Gene Delivery (6 papers) and Dental Implant Techniques and Outcomes (6 papers). The work is most often cited by research in Biomaterials (1.2k citations), Urology (145 citations), Biomedical Engineering (901 citations), Surfaces, Coatings and Films (115 citations) and Cancer Research (239 citations). Wei Ji has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Fang Yang, John A. Jansen, Jeroen J.J.P. van den Beucken, Zhi Chen, Mingwen Fan, Yan Sun, Samuel I. Stupp, Kohei Sato, Ye Hu and Liam C. Palmer. Their work appears in journals such as Clinical Oral Implants Research, Journal of the American Chemical Society, Scientific Reports, Journal of Dental Research and Bioorganic & Medicinal Chemistry Letters.

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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