Ya‐Hui Hu
Impact in
-
- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
- Pharmacology top 5%
Papers in
-
- Pharmacological Effects and Toxicity Studies 16
- Pharmaceutical studies and practices 11
- Co-authors
- Hong‐Li Guo (36 shared papers)Feng Chen (37 shared papers)Yunman Li (20 shared papers)Jing Xu (17 shared papers)Vin‐Cent Wu (15 shared papers)Yen‐Hung Lin (11 shared papers)Weirong Fang (15 shared papers)Kwan‐Dun Wu (9 shared papers)
- Journals
- Frontiers in Pharmacology (8 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Scientific Reports (3 papers)Frontiers in Nutrition (3 papers)International Immunopharmacology (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ya‐Hui Hu
99 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 416
- Pharmacology 163
- Physiology 287
- Pediatrics, Perinatology and Child Health 214
- Toxicology 32
Countries citing papers authored by Ya‐Hui Hu
This map shows the geographic impact of Ya‐Hui Hu'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 Ya‐Hui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Hui Hu more than expected).
Fields of papers citing papers by Ya‐Hui Hu
This network shows the impact of papers produced by Ya‐Hui Hu. 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 Ya‐Hui Hu. The network helps show where Ya‐Hui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hui Hu, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2016 | 103 | |
| 3 | 2017 | 70 | |
| 4 | 2020 | 68 | |
| 5 | 2016 | 67 | |
| 6 | 2017 | 62 | |
| 7 | 2019 | 60 | |
| 8 | 2018 | 59 | |
| 9 | 2004 | 52 | |
| 10 | 2022 | 46 | |
| 11 | 2019 | 44 | |
| 12 | 2019 | 42 | |
| 13 | 2022 | 38 | |
| 14 | 2015 | 36 | |
| 15 | 2004 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2017 | 26 | |
| 18 | 2021 | 26 | |
| 19 | 2018 | 26 | |
| 20 | 2021 | 24 |
About Ya‐Hui Hu
Ya‐Hui Hu is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery, Psychiatry and Mental health and Oncology, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (16 papers), Hormonal Regulation and Hypertension (15 papers), Adrenal and Paraganglionic Tumors (13 papers), Epilepsy research and treatment (12 papers), Pharmaceutical studies and practices (11 papers), Drug Transport and Resistance Mechanisms (7 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers) and Adrenal Hormones and Disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (416 citations), Pharmacology (163 citations), Physiology (287 citations), Pediatrics, Perinatology and Child Health (214 citations) and Toxicology (32 citations). Ya‐Hui Hu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hong‐Li Guo, Feng Chen, Yunman Li, Jing Xu, Vin‐Cent Wu, Yen‐Hung Lin, Weirong Fang, Kwan‐Dun Wu, Shih‐Chieh Chueh and Jing Xia. Their work appears in journals such as Frontiers in Pharmacology, The Journal of Clinical Endocrinology & Metabolism, Scientific Reports, Frontiers in Nutrition and International Immunopharmacology.
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.