Shihua Wen
- Psychiatry and Mental health top 2%
- Pathology and Forensic Medicine top 2%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine
- Nephrology top 10%
- Co-authors
- Uwe ReuterJan KlattPeggy Hours-ZesigerPeter J. GoadsbyMichel Lantéri‐MinetMichel D. FerrariΤushar GarimellaYili Pritchett
- Topics
- Migraine and Headache Studies (13 papers)Trigeminal Neuralgia and Treatments (8 papers)Statistical Methods in Clinical Trials (4 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Shihua Wen
23 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Psychiatry and Mental health 662
- Pathology and Forensic Medicine 505
- Physiology 341
- Cardiology and Cardiovascular Medicine 116
- Nephrology 83
Countries citing papers authored by Shihua Wen
This map shows the geographic impact of Shihua Wen'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 Shihua Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihua Wen more than expected).
Fields of papers citing papers by Shihua Wen
This network shows the impact of papers produced by Shihua Wen. 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 Shihua Wen. The network helps show where Shihua Wen may publish in the future.
Co-authorship network of co-authors of Shihua Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Shihua Wen. A scholar is included among the top collaborators of Shihua Wen 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 Shihua Wen. Shihua Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 33 | |
| 7 | 42 | |
| 8 | 7 | |
| 9 | 72 | |
| 10 | Efficacy and tolerability of erenumab in patients with episodic migraine in whom two-to-four previous preventive treatments were unsuccessful: a randomised, double-blind, placebo-controlled, phase 3b studybreakdown → | 332 |
| 11 | 20 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 194 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 10 |
About Shihua Wen
Shihua Wen is a scholar working on Psychiatry and Mental health, Statistics and Probability and Pathology and Forensic Medicine, having authored 23 papers that have together received 941 indexed citations. Recurring topics across this work include Migraine and Headache Studies (13 papers), Trigeminal Neuralgia and Treatments (8 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Psychiatry and Mental health (662 citations), Pathology and Forensic Medicine (505 citations) and Medical Terminology (4 citations). Shihua Wen has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Uwe Reuter, Jan Klatt, Peggy Hours-Zesiger, Peter J. Goadsby, Michel Lantéri‐Minet, Michel D. Ferrari, Τushar Garimella, Yili Pritchett, Paul Audhya and Mark E. Molitch. Their work appears in journals such as The Lancet, Neurology and Journal of the American Society of Nephrology.
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.