Wenqing Yao
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Rheumatology top 5%
- Co-authors
- Robert NewtonPeggy ScherleXiangdong LiuCarl P. DeciccoElizabeth C. ArnerMicky D. TortorellaMichael A. PrattaRonald L. Magolda
- Topics
- HER2/EGFR in Cancer Research (9 papers)Peptidase Inhibition and Analysis (7 papers)Neuroendocrine Tumor Research Advances (7 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wenqing Yao
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 557
- Oncology 437
- Cancer Research 253
- Endocrinology, Diabetes and Metabolism 235
- Rheumatology 215
Countries citing papers authored by Wenqing Yao
This map shows the geographic impact of Wenqing Yao'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 Wenqing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenqing Yao more than expected).
Fields of papers citing papers by Wenqing Yao
This network shows the impact of papers produced by Wenqing Yao. 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 Wenqing Yao. The network helps show where Wenqing Yao may publish in the future.
Co-authorship network of co-authors of Wenqing Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Wenqing Yao. A scholar is included among the top collaborators of Wenqing Yao 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 Wenqing Yao. Wenqing Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 45 | |
| 10 | 23 | |
| 11 | ACTH-secreting pancreatic neuroendocrine carcinoma with ovarian and pelvic metastases causing Cushing's syndrome: a case report. | 5 |
| 12 | 27 | |
| 13 | 26 | |
| 14 | 16 | |
| 15 | Immunohistochemical HER2 expression not associated with clinicopathological characteristics of stage I-III gastric cancer patients. | 8 |
| 16 | 13 | |
| 17 | 190 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 27 |
About Wenqing Yao
Wenqing Yao is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Peptidase Inhibition and Analysis (7 papers) and Neuroendocrine Tumor Research Advances (7 papers). The work is most often cited by research in Hepatology (174 citations), Immunology and Allergy (128 citations) and Cancer Research (253 citations). Wenqing Yao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert Newton, Peggy Scherle, Xiangdong Liu, Carl P. Decicco, Elizabeth C. Arner, Micky D. Tortorella, Michael A. Pratta, Ronald L. Magolda, James M. Trzăskos and Reid Huber. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.
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.