Yinghui Wang
- Hepatology top 2%
- Epidemiology top 10%
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Co-authors
- Daniel P. NormolleDavid ChiaSudhir SrivastavaAnna S. LokLewis R. RobertsMyron SchwartzZiding FengJosep M. Llovet
- Topics
- Traditional Chinese Medicine Studies (8 papers)Lymphoma Diagnosis and Treatment (5 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yinghui Wang
32 papers receiving 944 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Hepatology 367
- Epidemiology 330
- Molecular Biology 221
- Cancer Research 198
- Oncology 168
Countries citing papers authored by Yinghui Wang
This map shows the geographic impact of Yinghui Wang'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 Yinghui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinghui Wang more than expected).
Fields of papers citing papers by Yinghui Wang
This network shows the impact of papers produced by Yinghui Wang. 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 Yinghui Wang. The network helps show where Yinghui Wang may publish in the future.
Co-authorship network of co-authors of Yinghui Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yinghui Wang. A scholar is included among the top collaborators of Yinghui Wang 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 Yinghui Wang. Yinghui Wang 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 55 | |
| 11 | 13 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | Analysis of experts' opinions on TCM syndrome differentiation about diabetic nephropathy by Delphi | 1 |
| 17 | α-Fetoprotein, Des-γ Carboxyprothrombin, and Lectin-Bound α-Fetoprotein in Early Hepatocellular Carcinomabreakdown → | 557 |
| 18 | Expert-questionnaire on symptom distribution and characteristics of syndrome of liver-depression and spleen-deficiency | 1 |
| 19 | Research of the Individualized Clinical Evaluation method of Diagnosis and Treatment in Traditional Chinese Medicine | 0 |
| 20 | A Survey for the Prevalence and Risk factors of Hypertension in Cangnan Coastal Population | 1 |
About Yinghui Wang
Yinghui Wang is a scholar working on Complementary and alternative medicine, Nephrology and Biological Psychiatry, having authored 36 papers that have together received 973 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (8 papers), Lymphoma Diagnosis and Treatment (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Hepatology (367 citations), Cancer Research (198 citations) and Epidemiology (330 citations). Yinghui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daniel P. Normolle, David Chia, Sudhir Srivastava, Anna S. Lok, Lewis R. Roberts, Myron Schwartz, Ziding Feng, Josep M. Llovet, K. Rajender Reddy and Paul D. Wagner. Their work appears in journals such as Journal of Clinical Oncology, Blood and Gastroenterology.
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.