Yu Wan
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 11
-
- Cancer, Hypoxia, and Metabolism 5
- MicroRNA in disease regulation 4
- Co-authors
- Gang YangMichael J. WatersJohannes D. VeldhuisFrederik J. SteynAllan E. HerbisonJenny ClarksonChen ChenChuanshu Huang
- Journals
- Acta Biomaterialia (3 papers)Neurosignals (2 papers)Nanomedicine (2 papers)Molecular Pharmaceutics (2 papers)Endocrinology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Wan
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Behavioral Neuroscience 103
- Reproductive Medicine 187
- Endocrinology, Diabetes and Metabolism 360
- Cancer Research 190
- Biomaterials 140
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2015 | 27 | |
| 14 | 2015 | 37 | |
| 15 | 2014 | 27 | |
| 16 | 2011 | 79 | |
| 17 | 2010 | 11 | |
| 18 | 2008 | 11 | |
| 19 | 2004 | 25 | |
| 20 | 1997 | 14 |
About Yu Wan
Yu Wan is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Applied Microbiology and Biotechnology, Molecular Biology and Genetics, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (15 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Nanoplatforms for cancer theranostics (11 papers), Advanced biosensing and bioanalysis techniques (11 papers), Virus-based gene therapy research (9 papers), Nanoparticle-Based Drug Delivery (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Behavioral Neuroscience (103 citations), Reproductive Medicine (187 citations), Endocrinology, Diabetes and Metabolism (360 citations), Cancer Research (190 citations) and Biomaterials (140 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, Frederik J. Steyn, Allan E. Herbison, Jenny Clarkson, Chen Chen, Chuanshu Huang, Yonghui Yu and István Tóth. Their work appears in journals such as Acta Biomaterialia, Neurosignals, Nanomedicine, Molecular Pharmaceutics and Endocrinology.
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.