Yan‐Ling Wu
Impact in
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
- Hepatology top 2%
- Liver physiology and pathology
Papers in
- Epidemiology 46
- Liver Disease Diagnosis and Treatment 37
- Adipokines, Inflammation, and Metabolic Diseases 7
- Co-authors
- Ji‐Xing Nan (87 shared papers)Li‐Hua Lian (82 shared papers)Ting Bai (14 shared papers)Ying Wan (11 shared papers)Quan Jin (14 shared papers)Xin Han (12 shared papers)Ben‐Wen Cui (11 shared papers)Youli Yao (9 shared papers)
- Journals
- International Immunopharmacology (10 papers)Journal of Agricultural and Food Chemistry (9 papers)Chemico-Biological Interactions (8 papers)Food & Function (7 papers)Journal of Ethnopharmacology (7 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Yan‐Ling Wu
153 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 134
- Pharmacology 520
- Hepatology 403
- Complementary and alternative medicine 258
- Epidemiology 690
- Pathology and Forensic Medicine 318
Countries citing papers authored by Yan‐Ling Wu
This map shows the geographic impact of Yan‐Ling 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 Yan‐Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Ling Wu more than expected).
Fields of papers citing papers by Yan‐Ling Wu
This network shows the impact of papers produced by Yan‐Ling 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 Yan‐Ling Wu. The network helps show where Yan‐Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Ling 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2017 | 111 | |
| 3 | 2013 | 103 | |
| 4 | 2016 | 91 | |
| 5 | 2018 | 87 | |
| 6 | 2016 | 87 | |
| 7 | 2024 | 85 | |
| 8 | 2014 | 83 | |
| 9 | 2008 | 82 | |
| 10 | 2024 | 70 | |
| 11 | 2024 | 64 | |
| 12 | 2024 | 64 | |
| 13 | 2010 | 62 | |
| 14 | 2020 | 58 | |
| 15 | 2013 | 58 | |
| 16 | 2018 | 57 | |
| 17 | 2020 | 55 | |
| 18 | 2021 | 54 | |
| 19 | 2019 | 51 | |
| 20 | 2009 | 51 |
About Yan‐Ling Wu
Yan‐Ling Wu is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pharmacology and Pathology and Forensic Medicine, having authored 156 papers that have together received 3.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (37 papers), Liver physiology and pathology (30 papers), Alcohol Consumption and Health Effects (17 papers), Drug-Induced Hepatotoxicity and Protection (16 papers), Liver Diseases and Immunity (9 papers), Advanced Photocatalysis Techniques (7 papers), Liver Disease and Transplantation (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Pharmacology (520 citations), Hepatology (403 citations), Complementary and alternative medicine (258 citations), Epidemiology (690 citations) and Pathology and Forensic Medicine (318 citations). Yan‐Ling Wu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Ji‐Xing Nan, Li‐Hua Lian, Ting Bai, Ying Wan, Quan Jin, Xin Han, Ben‐Wen Cui, Youli Yao, Peng Sun and Yong Yang. Their work appears in journals such as International Immunopharmacology, Journal of Agricultural and Food Chemistry, Chemico-Biological Interactions, Food & Function and Journal of Ethnopharmacology.
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.