Yanting Ji

472 citations
21 papers · 343 · h-index 11

Impact in

  • Biomaterials top 10%
    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Biochemical and Structural Characterization 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Glycosylation and Glycoproteins Research 1
    • Silk-based biomaterials and applications 7

Yanting Ji

19 papers receiving 338 citations

Peers

Yanting Ji
Comparison fields: 5 of 67
  • Biomaterials 133
  • Microbiology 50
  • Rehabilitation 16
  • Health Informatics 3
  • Insect Science 25
Replace Sheng Xu with:
Sheng Xu China
Peiru Chen United States
Xin Liao China
Megan K. DeBari United States
Giulia Lucconi Italy
Yingqi Huang China
Peng Lou China
Yushu Wang China
Maryam Ghahremani‐Nasab Iran
Hai Shi United States
Yanting Ji relative to Sheng Xu China Sheng Xu's profile →
Citations per field
00.5×1.5×
Sheng Xu · 1×
Citations per year

Countries citing papers authored by Yanting Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 202244
3 202238
4 201932
5 201926
6 202125
7 202024
8 202420
9 202116
10 201915
11 202314
12 20236
13 20206
14 20245
15 20205
16 20214
17 20244
18 20251
19 20231
20 20210

About Yanting Ji

Yanting Ji is a scholar working on Molecular Biology, Biomaterials, Microbiology, Pulmonary and Respiratory Medicine and Urology, having authored 21 papers that have together received 343 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (7 papers), Antimicrobial Peptides and Activities (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Biochemical and Structural Characterization (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Periodontal Regeneration and Treatments (2 papers), Gestational Diabetes Research and Management (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biomaterials (133 citations), Microbiology (50 citations), Rehabilitation (16 citations), Health Informatics (3 citations) and Insect Science (25 citations). Yanting Ji has collaborated with scholars based in China, United States and India. Frequent co-authors include Qingyou Xia, Feng Wang, Tian Chi, Qianqian Yang, Riyuan Wang, Sheng Xu, Ping Zhao, David L. Kaplan, Jin Yang and Yuancheng Wang. Their work appears in journals such as Biomaterials Science, Advanced Materials, Breast Cancer Targets and Therapy, Journal of Biosciences and Journal of Magnetic Resonance Imaging.

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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