Lan Jia
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
Papers in
- Biomaterials 15
- Silk-based biomaterials and applications 8
- Electrospun Nanofibers in Biomedical Applications 7
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- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- Co-authors
- Jian Ji (8 shared papers)Jian‐Ping Xu (8 shared papers)Zhegang Song (4 shared papers)Song Chen (12 shared papers)Jingxin Zhu (10 shared papers)Yuan Fang (2 shared papers)Ju Mei (3 shared papers)Ben Zhong Tang (3 shared papers)
- Journals
- RSC Advances (5 papers)The Analyst (4 papers)Materials Science and Engineering C (3 papers)Polymers (3 papers)Materials Letters (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lan Jia
44 papers receiving 780 citations
Peers
Comparison fields: 5 of 101
- Biomaterials 189
- Spectroscopy 176
- Materials Chemistry 390
- Polymers and Plastics 93
- Surfaces, Coatings and Films 38
Countries citing papers authored by Lan Jia
This map shows the geographic impact of Lan Jia'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 Lan Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Jia more than expected).
Fields of papers citing papers by Lan Jia
This network shows the impact of papers produced by Lan Jia. 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 Lan Jia. The network helps show where Lan Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2010 | 80 | |
| 3 | 2017 | 65 | |
| 4 | 2011 | 62 | |
| 5 | 2011 | 49 | |
| 6 | 2010 | 45 | |
| 7 | 2017 | 39 | |
| 8 | 2014 | 30 | |
| 9 | 2013 | 26 | |
| 10 | 2020 | 22 | |
| 11 | 2023 | 22 | |
| 12 | 2016 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2024 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 10 |
About Lan Jia
Lan Jia is a scholar working on Biomaterials, Molecular Biology, Materials Chemistry, Biomedical Engineering and Polymers and Plastics, having authored 48 papers that have together received 792 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Molecular Sensors and Ion Detection (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Bone Tissue Engineering Materials (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), RNA Interference and Gene Delivery (4 papers) and Luminescence and Fluorescent Materials (4 papers). The work is most often cited by research in Biomaterials (189 citations), Spectroscopy (176 citations), Materials Chemistry (390 citations), Polymers and Plastics (93 citations) and Surfaces, Coatings and Films (38 citations). Lan Jia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Ji, Jian‐Ping Xu, Zhegang Song, Song Chen, Jingxin Zhu, Yuan Fang, Ju Mei, Ben Zhong Tang, Jing Zhi Sun and Di Li. Their work appears in journals such as RSC Advances, The Analyst, Materials Science and Engineering C, Polymers and Materials 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.