Xiaojing Yuan
- Molecular Biology
- Physiology
- Organic Chemistry
- Pharmacology
- Computational Theory and Mathematics top 10%
- Co-authors
- Yechun XuM. P. BlausteinLewis J. RubinM. TodMinjun LiStefano RanioloVittorio LimongelliJianhua Shen
- Topics
- Protein Kinase Regulation and GTPase Signaling (3 papers)Ovarian function and disorders (3 papers)Computational Drug Discovery Methods (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaojing Yuan
25 papers receiving 549 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 314
- Physiology 108
- Organic Chemistry 82
- Pharmacology 69
- Computational Theory and Mathematics 66
Countries citing papers authored by Xiaojing Yuan
This map shows the geographic impact of Xiaojing Yuan'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 Xiaojing Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Yuan more than expected).
Fields of papers citing papers by Xiaojing Yuan
This network shows the impact of papers produced by Xiaojing Yuan. 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 Xiaojing Yuan. The network helps show where Xiaojing Yuan may publish in the future.
Co-authorship network of co-authors of Xiaojing Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Yuan. A scholar is included among the top collaborators of Xiaojing Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojing Yuan. Xiaojing Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 54 | |
| 10 | 19 | |
| 11 | 52 | |
| 12 | 17 | |
| 13 | 19 | |
| 14 | 33 | |
| 15 | 34 | |
| 16 | Myelin ultrastructure of sciatic nerve in rat experimental autoimmune neuritis model and its correlation with associated protein expression. | 7 |
| 17 | 25 | |
| 18 | 10 | |
| 19 | [Pelvic artery representation on three-dimensional reconstructed multislice spiral CT images: variability between the young and the elderly]. | 2 |
| 20 | 129 |
About Xiaojing Yuan
Xiaojing Yuan is a scholar working on Reproductive Medicine, Cancer Research and Pharmacology, having authored 26 papers that have together received 557 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Ovarian function and disorders (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (314 citations), Computational Theory and Mathematics (66 citations) and Physiology (108 citations). Xiaojing Yuan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yechun Xu, M. P. Blaustein, Lewis J. Rubin, M. Tod, Minjun Li, Stefano Raniolo, Vittorio Limongelli, Jianhua Shen, Wenfeng Zhao and Hongbin Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.
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.