Wanling Wu
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
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- Iron Metabolism and Disorders
Papers in
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- Sexual Differentiation and Disorders 6
- RNA Research and Splicing 3
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- Traditional Chinese Medicine Analysis 6
- Co-authors
- Dongye Li (9 shared papers)Xiaoqin Wang (6 shared papers)Tongda Xu (6 shared papers)Nianyi Li (4 shared papers)Dehua Jiang (1 shared paper)Defeng Pan (8 shared papers)Weiyang Liu (1 shared paper)Qin‐Fen Chen (1 shared paper)
- Journals
- PLoS ONE (2 papers)Brain and Behavior (2 papers)Gene (1 paper)Protein & Cell (1 paper)Gene Therapy (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wanling Wu
44 papers receiving 717 citations
Peers
Comparison fields: 5 of 100
- Rehabilitation 60
- Hematology 59
- Complementary and alternative medicine 41
- Biochemistry 30
- Pharmacology 42
Countries citing papers authored by Wanling Wu
This map shows the geographic impact of Wanling 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 Wanling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanling Wu more than expected).
Fields of papers citing papers by Wanling Wu
This network shows the impact of papers produced by Wanling 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 Wanling Wu. The network helps show where Wanling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanling Wu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 110 | |
| 2 | 2020 | 65 | |
| 3 | 2018 | 57 | |
| 4 | 1999 | 44 | |
| 5 | 2013 | 37 | |
| 6 | 2013 | 36 | |
| 7 | 2014 | 36 | |
| 8 | 2009 | 33 | |
| 9 | 2002 | 27 | |
| 10 | 2009 | 27 | |
| 11 | 2014 | 25 | |
| 12 | 2022 | 24 | |
| 13 | 2013 | 22 | |
| 14 | 2011 | 21 | |
| 15 | 2016 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2001 | 14 | |
| 18 | 2013 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2019 | 10 |
About Wanling Wu
Wanling Wu is a scholar working on Molecular Biology, Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Pharmacology, having authored 47 papers that have together received 735 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Traditional Chinese Medicine Analysis (6 papers), Cancer-related molecular mechanisms research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), RNA Research and Splicing (3 papers), Hormonal Regulation and Hypertension (3 papers), Acute Myeloid Leukemia Research (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Rehabilitation (60 citations), Hematology (59 citations), Complementary and alternative medicine (41 citations), Biochemistry (30 citations) and Pharmacology (42 citations). Wanling Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Dongye Li, Xiaoqin Wang, Tongda Xu, Nianyi Li, Dehua Jiang, Defeng Pan, Weiyang Liu, Qin‐Fen Chen, Mengxue Zhang and Hong Zhu. Their work appears in journals such as PLoS ONE, Brain and Behavior, Gene, Protein & Cell and Gene Therapy.
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.