Wanlin Dai
Impact in
-
- Tryptophan and brain disorders
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Shuodong Wu (6 shared papers)Ming Dong (1 shared paper)Chaoliu Dai (1 shared paper)Dianbo Yao (1 shared paper)Liwei Pang (10 shared papers)Jing Kong (3 shared papers)Yuanyuan Fang (1 shared paper)Shuang Liu (1 shared paper)
- Journals
- Frontiers in Pharmacology (3 papers)Carcinogenesis (2 papers)Journal of Physiology and Biochemistry (2 papers)Frontiers in Oncology (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wanlin Dai
23 papers receiving 584 citations
Wanlin Dai's Hit Papers
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 25
- Behavioral Neuroscience 12
- Molecular Biology 226
- Gastroenterology 15
- Pharmacology 21
Countries citing papers authored by Wanlin Dai
This map shows the geographic impact of Wanlin Dai'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 Wanlin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanlin Dai more than expected).
Fields of papers citing papers by Wanlin Dai
This network shows the impact of papers produced by Wanlin Dai. 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 Wanlin Dai. The network helps show where Wanlin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanlin Dai, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MUC2 and related bacterial factors: Therapeutic targets for ulcerative colitis Hit paper breakdown → | 2021 | 186 |
| 2 | Epigenetics-targeted drugs: current paradigms and future challenges Hit paper breakdown → | 2024 | 130 |
| 3 | 2021 | 29 | |
| 4 | 2021 | 27 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 19 | |
| 9 | 2017 | 19 | |
| 10 | 2021 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 3 |
About Wanlin Dai
Wanlin Dai is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 24 papers that have together received 590 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Gallbladder and Bile Duct Disorders (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Ferroptosis and cancer prognosis (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Biological Psychiatry (25 citations), Behavioral Neuroscience (12 citations), Molecular Biology (226 citations), Gastroenterology (15 citations) and Pharmacology (21 citations). Wanlin Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuodong Wu, Ming Dong, Chaoliu Dai, Dianbo Yao, Liwei Pang, Jing Kong, Yuanyuan Fang, Shuang Liu, Zhijing Na and Xinbo Qiao. Their work appears in journals such as Frontiers in Pharmacology, Carcinogenesis, Journal of Physiology and Biochemistry, Frontiers in Oncology and Frontiers in 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.