Yaping Yan
- Immunology top 2%
- Molecular Biology top 5%
- Neurology top 1%
- Pathology and Forensic Medicine top 2%
- Neurology top 2%
- Co-authors
- Abdolmohamad RostamiGuang‐Xian ZhangMelissa L. CullimoreBogoljub ĆirićMohamed El BehiBonnie N. DittelHong DaiFarinaz Safavi
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (21 papers)Multiple Sclerosis Research Studies (18 papers)Peripheral Neuropathies and Disorders (16 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yaping Yan
108 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 1.4k
- Molecular Biology 1.3k
- Neurology 797
- Pathology and Forensic Medicine 616
- Neurology 600
Countries citing papers authored by Yaping Yan
This map shows the geographic impact of Yaping Yan'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 Yaping Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Yan more than expected).
Fields of papers citing papers by Yaping Yan
This network shows the impact of papers produced by Yaping Yan. 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 Yaping Yan. The network helps show where Yaping Yan may publish in the future.
Co-authorship network of co-authors of Yaping Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Yan. A scholar is included among the top collaborators of Yaping Yan 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 Yaping Yan. Yaping Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Emerging Roles of Post-Translational Modifications in Skin Diseases: Current Knowledge, Challenges and Future Perspectives | 7 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 22 | |
| 19 | 42 | |
| 20 | 1 |
About Yaping Yan
Yaping Yan is a scholar working on Neurology, Developmental Neuroscience and Neurology, having authored 117 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Multiple Sclerosis Research Studies (18 papers) and Peripheral Neuropathies and Disorders (16 papers). The work is most often cited by research in Neurology (797 citations), Biological Psychiatry (186 citations) and Immunology (1.4k citations). Yaping Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Abdolmohamad Rostami, Guang‐Xian Zhang, Melissa L. Cullimore, Bogoljub Ćirić, Mohamed El Behi, Bonnie N. Dittel, Hong Dai, Farinaz Safavi, Zhezhi Wang and Fu‐Dong Shi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.