Yu Wan
Impact in
- Behavioral Neuroscience top 5%
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
-
- RNA Interference and Gene Delivery 12
- Advanced biosensing and bioanalysis techniques 7
-
- Growth Hormone and Insulin-like Growth Factors 11
- Hormonal Regulation and Hypertension 3
- Co-authors
- Gang Yang (2 shared papers)Michael J. Waters (5 shared papers)Johannes D. Veldhuis (1 shared paper)Allan E. Herbison (1 shared paper)Frederik J. Steyn (1 shared paper)Chen Chen (1 shared paper)Jenny Clarkson (1 shared paper)Shun Feng (22 shared papers)
- Journals
- Acta Biomaterialia (3 papers)Advanced Materials (2 papers)Neurosignals (2 papers)Endocrinology (2 papers)Nanomedicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Wan
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Behavioral Neuroscience 84
- Reproductive Medicine 192
- Endocrinology, Diabetes and Metabolism 368
- Cancer Research 168
- Biomaterials 156
Countries citing papers authored by Yu Wan
This map shows the geographic impact of Yu Wan'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 Yu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wan more than expected).
Fields of papers citing papers by Yu Wan
This network shows the impact of papers produced by Yu Wan. 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 Yu Wan. The network helps show where Yu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 324 | |
| 2 | 2013 | 220 | |
| 3 | 2009 | 98 | |
| 4 | 1996 | 88 | |
| 5 | 1993 | 88 | |
| 6 | 2013 | 82 | |
| 7 | 2011 | 81 | |
| 8 | 2023 | 43 | |
| 9 | 2017 | 41 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 30 | |
| 13 | 2014 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2013 | 27 | |
| 16 | 2004 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2003 | 23 | |
| 20 | 2023 | 22 |
About Yu Wan
Yu Wan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomedical Engineering, Genetics and Cancer Research, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Nanoplatforms for cancer theranostics (11 papers), Advanced biosensing and bioanalysis techniques (7 papers), Virus-based gene therapy research (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Behavioral Neuroscience (84 citations), Reproductive Medicine (192 citations), Endocrinology, Diabetes and Metabolism (368 citations), Cancer Research (168 citations) and Biomaterials (156 citations). Yu Wan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Gang Yang, Michael J. Waters, Johannes D. Veldhuis, Allan E. Herbison, Frederik J. Steyn, Chen Chen, Jenny Clarkson, Shun Feng, Chuanshu Huang and Yonghui Yu. Their work appears in journals such as Acta Biomaterialia, Advanced Materials, Neurosignals, Endocrinology and Nanomedicine.
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.