Xiaoling Jia
Impact in
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Ion channel regulation and function 4
- RNA Interference and Gene Delivery 3
- Biomaterials 11
- Electrospun Nanofibers in Biomedical Applications 11
- Co-authors
- Yubo Fan (24 shared papers)Xiaoyan Yuan (8 shared papers)Yunhui Zhao (7 shared papers)Fengxuan Han (2 shared papers)Jin Zhao (2 shared papers)Yan Huang (9 shared papers)Xianghui Gong (8 shared papers)Ke Bai (2 shared papers)
- Journals
- Biomaterials (4 papers)Scientific Reports (2 papers)Materials Science and Engineering C (2 papers)PLoS ONE (2 papers)Acta Biomaterialia (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaoling Jia
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 106
- Biomaterials 795
- Surgery 519
- Surfaces, Coatings and Films 87
- Biomedical Engineering 522
- Genetics 114
Countries citing papers authored by Xiaoling Jia
This map shows the geographic impact of Xiaoling 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 Xiaoling Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Jia more than expected).
Fields of papers citing papers by Xiaoling Jia
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Jia. The network helps show where Xiaoling Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 233 | |
| 2 | 2013 | 161 | |
| 3 | 2010 | 108 | |
| 4 | 2016 | 99 | |
| 5 | 2015 | 92 | |
| 6 | 2009 | 90 | |
| 7 | 2012 | 73 | |
| 8 | 2010 | 63 | |
| 9 | 2011 | 59 | |
| 10 | 2014 | 55 | |
| 11 | 2007 | 49 | |
| 12 | 2017 | 48 | |
| 13 | 2016 | 46 | |
| 14 | 2016 | 37 | |
| 15 | 2015 | 34 | |
| 16 | 2019 | 33 | |
| 17 | 2009 | 32 | |
| 18 | 2013 | 31 | |
| 19 | 2012 | 29 | |
| 20 | 2013 | 26 |
About Xiaoling Jia
Xiaoling Jia is a scholar working on Molecular Biology, Biomaterials, Surgery, Biomedical Engineering and Cell Biology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (11 papers), Tissue Engineering and Regenerative Medicine (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Bone Tissue Engineering Materials (4 papers), Ion channel regulation and function (4 papers), Cell Adhesion Molecules Research (4 papers), RNA Interference and Gene Delivery (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Biomaterials (795 citations), Surgery (519 citations), Surfaces, Coatings and Films (87 citations), Biomedical Engineering (522 citations) and Genetics (114 citations). Xiaoling Jia has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yubo Fan, Xiaoyan Yuan, Yunhui Zhao, Fengxuan Han, Jin Zhao, Yan Huang, Xianghui Gong, Ke Bai, Fang Zhou and Hong Zhang. Their work appears in journals such as Biomaterials, Scientific Reports, Materials Science and Engineering C, PLoS ONE and Acta Biomaterialia.
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.