Yiping Wu
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Genetics top 10%
- Orthopedics and Sports Medicine top 5%
- Physiology top 10%
- Co-authors
- Shoshana YakarClifford J. RosenJennifer SetserDerek LeRoithJun‐Li LiuWesley G. BeamerYves R. BoisclairCheryl L. Ackert‐Bicknell
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)Metabolism, Diabetes, and Cancer (4 papers)
- Journals
- Journal of Clinical InvestigationProgress in NeurobiologyJournal of the American Heart Association
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Yiping Wu
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 811
- Molecular Biology 681
- Genetics 303
- Orthopedics and Sports Medicine 243
- Physiology 224
Countries citing papers authored by Yiping Wu
This map shows the geographic impact of Yiping Wu'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 Yiping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiping Wu more than expected).
Fields of papers citing papers by Yiping Wu
This network shows the impact of papers produced by Yiping Wu. 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 Yiping Wu. The network helps show where Yiping Wu may publish in the future.
Co-authorship network of co-authors of Yiping Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Wu. A scholar is included among the top collaborators of Yiping Wu 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 Yiping Wu. Yiping Wu 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 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | [Relationships of serum selenium, VEGF and sFas levels in leukemia patients]. | 1 |
| 15 | [Reversal effect of sodium selenite on multidrug resistance in K562/ADR cell line and its mechanisms]. | 1 |
| 16 | 1 | |
| 17 | 40 | |
| 18 | Circulating levels of IGF-1 directly regulate bone growth and densitybreakdown → | 703 |
| 19 | 67 | |
| 20 | Circulating levels of IGF-1 directly regulate bone growth and densitybreakdown → | 604 |
About Yiping Wu
Yiping Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Cancer Research, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (811 citations), Orthopedics and Sports Medicine (243 citations) and Genetics (303 citations). Yiping Wu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Shoshana Yakar, Clifford J. Rosen, Jennifer Setser, Derek LeRoith, Jun‐Li Liu, Wesley G. Beamer, Yves R. Boisclair, Cheryl L. Ackert‐Bicknell, Jan Frystyk and Guck T. Ooi. Their work appears in journals such as Journal of Clinical Investigation, Progress in Neurobiology and Journal of the American Heart Association.
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.