Yongmei Wang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Genetics top 10%
- Physiology top 10%
- Co-authors
- Daniel D. BikleHashem ElaliehWenhan ChangBernard P. HalloranCandice TahimicShigeki NishidaRoger LongTakeshi Sakata
- Topics
- Growth Hormone and Insulin-like Growth Factors (18 papers)Bone Metabolism and Diseases (12 papers)TGF-β signaling in diseases (8 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicinePathology and Forensic Medicine
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismScientific Reports
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yongmei Wang
71 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 806
- Endocrinology, Diabetes and Metabolism 448
- Oncology 298
- Genetics 232
- Physiology 227
Countries citing papers authored by Yongmei Wang
This map shows the geographic impact of Yongmei 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 Yongmei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongmei Wang more than expected).
Fields of papers citing papers by Yongmei Wang
This network shows the impact of papers produced by Yongmei 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 Yongmei Wang. The network helps show where Yongmei Wang may publish in the future.
Co-authorship network of co-authors of Yongmei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yongmei Wang. A scholar is included among the top collaborators of Yongmei 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 Yongmei Wang. Yongmei 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 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 93 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | Hashimoto's thyroiditis shows characteristics of increased thyroid volume, decreased echo and increased blood flow signals using ultrasound gray-scale intensity technology | 1 |
| 11 | 51 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 27 | |
| 16 | 53 | |
| 17 | 14 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | Analysis of investigative results of HIV infected people in Guangdong province and Henan province. | 1 |
About Yongmei Wang
Yongmei Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Pathology and Forensic Medicine, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Bone Metabolism and Diseases (12 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (448 citations), Orthopedics and Sports Medicine (226 citations) and Pathology and Forensic Medicine (214 citations). Yongmei Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Daniel D. Bikle, Hashem Elalieh, Wenhan Chang, Bernard P. Halloran, Candice Tahimic, Shigeki Nishida, Roger Long, Takeshi Sakata, Sophie Patzek and Elisabeth R. Barton. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism 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.