Wanling Wu
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- Traditional Chinese Medicine Analysis 5
-
- Acute Myeloid Leukemia Research 4
- 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 (9 shared papers)Qin‐Fen Chen (1 shared paper)Mengxue Zhang (1 shared paper)
- Journals
- Brain and Behavior (2 papers)PLoS ONE (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Nutrients (1 paper)Molecules (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wanling Wu
44 papers receiving 790 citations
Peers
Comparison fields: 5 of 101
- Rehabilitation 69
- Hematology 78
- Biochemistry 34
- Cancer Research 71
- Complementary and alternative medicine 39
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 | 124 | |
| 2 | 2020 | 77 | |
| 3 | 2018 | 60 | |
| 4 | 1999 | 48 | |
| 5 | 2013 | 39 | |
| 6 | 2014 | 39 | |
| 7 | 2013 | 38 | |
| 8 | 2009 | 33 | |
| 9 | 2002 | 30 | |
| 10 | 2009 | 30 | |
| 11 | 2014 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2023 | 25 | |
| 14 | 2013 | 23 | |
| 15 | 2011 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2015 | 18 | |
| 18 | 2013 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2001 | 14 |
About Wanling Wu
Wanling Wu is a scholar working on Complementary and alternative medicine, Hematology, Molecular Biology, Pharmacology and Cancer Research, having authored 47 papers that have together received 816 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Traditional Chinese Medicine Analysis (5 papers), Cancer-related molecular mechanisms research (4 papers), Acute Myeloid Leukemia Research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Hormonal Regulation and Hypertension (3 papers), RNA Research and Splicing (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Rehabilitation (69 citations), Hematology (78 citations), Biochemistry (34 citations), Cancer Research (71 citations) and Complementary and alternative medicine (39 citations). Wanling Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dongye Li, Xiaoqin Wang, Tongda Xu, Nianyi Li, Dehua Jiang, Defeng Pan, Qin‐Fen Chen, Mengxue Zhang, Weiyang Liu and Artem A. Trotsyuk. Their work appears in journals such as Brain and Behavior, PLoS ONE, Frontiers in Bioengineering and Biotechnology, Nutrients and Molecules.
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.