Dan Xia
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Biomaterials 13
- Electrospun Nanofibers in Biomedical Applications 9
- Supramolecular Self-Assembly in Materials 3
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- Carbon Nanotubes in Composites 14
- Graphene research and applications 11
- Co-authors
- Mingdong Dong (32 shared papers)Qingzhong Xue (21 shared papers)Chunyong Liang (21 shared papers)Jie Xie (8 shared papers)Huijuan Chen (8 shared papers)Cheng Xue Lv (7 shared papers)Fuxing Yin (5 shared papers)Wenjing Yuan (5 shared papers)
- Journals
- The Journal of Physical Chemistry C (8 papers)Nanoscale (6 papers)ACS Applied Materials & Interfaces (4 papers)RSC Advances (4 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Dan Xia
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 90
- Rehabilitation 187
- Biomaterials 332
- Materials Chemistry 752
- Polymers and Plastics 166
- Biomedical Engineering 497
Countries citing papers authored by Dan Xia
This map shows the geographic impact of Dan Xia'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 Dan Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Xia more than expected).
Fields of papers citing papers by Dan Xia
This network shows the impact of papers produced by Dan Xia. 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 Dan Xia. The network helps show where Dan Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Xia, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2010 | 155 | |
| 3 | 2010 | 126 | |
| 4 | 2008 | 121 | |
| 5 | 2016 | 105 | |
| 6 | 2009 | 84 | |
| 7 | 2013 | 81 | |
| 8 | 2016 | 76 | |
| 9 | 2023 | 70 | |
| 10 | 2018 | 66 | |
| 11 | 2022 | 66 | |
| 12 | 2022 | 66 | |
| 13 | 2023 | 60 | |
| 14 | 2019 | 58 | |
| 15 | 2011 | 56 | |
| 16 | 2014 | 50 | |
| 17 | 2016 | 48 | |
| 18 | 2022 | 42 | |
| 19 | 2019 | 41 | |
| 20 | 2020 | 39 |
About Dan Xia
Dan Xia is a scholar working on Biomaterials, Materials Chemistry, Rehabilitation, Biomedical Engineering and Cell Biology, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (14 papers), Graphene research and applications (11 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Wound Healing and Treatments (8 papers), Cellular Mechanics and Interactions (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Bone Tissue Engineering Materials (3 papers) and Supramolecular Self-Assembly in Materials (3 papers). The work is most often cited by research in Rehabilitation (187 citations), Biomaterials (332 citations), Materials Chemistry (752 citations), Polymers and Plastics (166 citations) and Biomedical Engineering (497 citations). Dan Xia has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Mingdong Dong, Qingzhong Xue, Chunyong Liang, Jie Xie, Huijuan Chen, Cheng Xue Lv, Fuxing Yin, Wenjing Yuan, Kai Yang and Ming Ma. Their work appears in journals such as The Journal of Physical Chemistry C, Nanoscale, ACS Applied Materials & Interfaces, RSC Advances and International Journal of Molecular Sciences.
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.