Yanting Ji
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
-
- Silk-based biomaterials and applications 7
- Co-authors
- Qingyou Xia (11 shared papers)Tian Chi (10 shared papers)Feng Wang (10 shared papers)Riyuan Wang (8 shared papers)Qianqian Yang (7 shared papers)Sheng Xu (6 shared papers)Ping Zhao (4 shared papers)David L. Kaplan (6 shared papers)
- Journals
- Biomaterials Science (3 papers)Advanced Materials (2 papers)Insect Science (1 paper)Placenta (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yanting Ji
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 68
- Biomaterials 128
- Microbiology 50
- Health Informatics 3
- Rehabilitation 14
- Insect Science 25
Countries citing papers authored by Yanting Ji
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2022 | 39 | |
| 3 | 2022 | 32 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2024 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Yanting Ji
Yanting Ji is a scholar working on Molecular Biology, Biomaterials, Microbiology, Oncology and Urology, having authored 20 papers that have together received 312 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 (2 papers), Biochemical and Structural Characterization (2 papers), Prostate Cancer Treatment and Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Biomaterials (128 citations), Microbiology (50 citations), Health Informatics (3 citations), Rehabilitation (14 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, Tian Chi, Feng Wang, Riyuan Wang, Qianqian Yang, Sheng Xu, Ping Zhao, David L. Kaplan, Yuancheng Wang and Changzhong Li. Their work appears in journals such as Biomaterials Science, Advanced Materials, Insect Science, Placenta and International Journal of Biological Macromolecules.
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.