Sijing Xia
Impact in
- Surfaces, Coatings and Films top 5%
- Polymer Surface Interaction Studies
- Surface Modification and Superhydrophobicity
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Nanofabrication and Lithography Techniques 4
-
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Qin Chen (7 shared papers)Bing Niu (6 shared papers)Graham J. Leggett (4 shared papers)C. Neil Hunter (4 shared papers)Michaël L. Cartron (4 shared papers)Robert E. Ducker (3 shared papers)Osama El-Zubir (3 shared papers)Steven P. Armes (1 shared paper)
- Journals
- Langmuir (2 papers)Journal of the American Chemical Society (2 papers)European Journal of Pharmacology (2 papers)Journal of Nanoscience and Nanotechnology (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- ChinaUnited KingdomAustria
In The Last Decade
Sijing Xia
16 papers receiving 435 citations
Peers
Comparison fields: 5 of 107
- Surfaces, Coatings and Films 110
- Modeling and Simulation 24
- Biomaterials 43
- Molecular Medicine 15
- Agronomy and Crop Science 23
Countries citing papers authored by Sijing Xia
This map shows the geographic impact of Sijing 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 Sijing Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijing Xia more than expected).
Fields of papers citing papers by Sijing Xia
This network shows the impact of papers produced by Sijing 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 Sijing Xia. The network helps show where Sijing Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Sijing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 169 | |
| 2 | 2019 | 80 | |
| 3 | 2010 | 33 | |
| 4 | 2012 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 23 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2015 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2021 | 3 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2011 | 1 |
About Sijing Xia
Sijing Xia is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surfaces, Coatings and Films and Electrical and Electronic Engineering, having authored 16 papers that have together received 439 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (4 papers), Polymer Surface Interaction Studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers), Molecular Junctions and Nanostructures (2 papers), Natural Antidiabetic Agents Studies (2 papers), Pancreatic function and diabetes (2 papers) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (110 citations), Modeling and Simulation (24 citations), Biomaterials (43 citations), Molecular Medicine (15 citations) and Agronomy and Crop Science (23 citations). Sijing Xia has collaborated with scholars based in China, United Kingdom and Austria. Frequent co-authors include Qin Chen, Bing Niu, Graham J. Leggett, C. Neil Hunter, Michaël L. Cartron, Robert E. Ducker, Osama El-Zubir, Steven P. Armes, Abdullah M. Alswieleh and Vincent Ladmiral. Their work appears in journals such as Langmuir, Journal of the American Chemical Society, European Journal of Pharmacology, Journal of Nanoscience and Nanotechnology and The Journal of Physical Chemistry B.
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.