Hu Y
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Metabolomics and Mass Spectrometry Studies 13
- Natural product bioactivities and synthesis 10
- Ginseng Biological Effects and Applications 8
- Pharmacology 23
- Pharmacological Effects of Natural Compounds 10
- Co-authors
- Jian‐Bo Wan (24 shared papers)Hao Hu (22 shared papers)Feng Yang (35 shared papers)Peng Li (14 shared papers)Yitao Wang (21 shared papers)Thomas Scherngell (7 shared papers)Ging Chan (9 shared papers)Defang Ouyang (7 shared papers)
- Journals
- PLoS ONE (7 papers)Chinese Medicine (7 papers)Human Vaccines & Immunotherapeutics (5 papers)Expert Opinion on Therapeutic Patents (5 papers)Journal of Ethnopharmacology (5 papers)
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Hu Y
235 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 192
- Complementary and alternative medicine 482
- Pharmacology 433
- Biochemistry 136
- Analytical Chemistry 211
- Pharmacology 336
Countries citing papers authored by Hu Y
This map shows the geographic impact of Hu Y'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 Hu Y with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Y more than expected).
Fields of papers citing papers by Hu Y
This network shows the impact of papers produced by Hu Y. 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 Hu Y. The network helps show where Hu Y may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Y, 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 250 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 224 | |
| 2 | 2012 | 212 | |
| 3 | 2016 | 177 | |
| 4 | 2019 | 155 | |
| 5 | 2018 | 132 | |
| 6 | 2010 | 115 | |
| 7 | 2019 | 102 | |
| 8 | 2015 | 82 | |
| 9 | 2015 | 82 | |
| 10 | 2015 | 73 | |
| 11 | 2016 | 71 | |
| 12 | 2018 | 68 | |
| 13 | 2017 | 65 | |
| 14 | 2016 | 64 | |
| 15 | 2016 | 61 | |
| 16 | 2021 | 57 | |
| 17 | 2015 | 56 | |
| 18 | 2022 | 51 | |
| 19 | 2015 | 49 | |
| 20 | 2018 | 49 |
About Hu Y
Hu Y is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Pharmacology and Computational Theory and Mathematics, having authored 250 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Liver Disease Diagnosis and Treatment (11 papers), Traditional Chinese Medicine Analysis (10 papers), Natural product bioactivities and synthesis (10 papers), Pharmacological Effects of Natural Compounds (10 papers), Pharmaceutical Economics and Policy (9 papers) and Ginseng Biological Effects and Applications (8 papers). The work is most often cited by research in Complementary and alternative medicine (482 citations), Pharmacology (433 citations), Biochemistry (136 citations), Analytical Chemistry (211 citations) and Pharmacology (336 citations). Hu Y has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Jian‐Bo Wan, Hao Hu, Feng Yang, Peng Li, Yitao Wang, Thomas Scherngell, Ging Chan, Defang Ouyang, Jin‐Jian Lu and Chengwei He. Their work appears in journals such as PLoS ONE, Chinese Medicine, Human Vaccines & Immunotherapeutics, Expert Opinion on Therapeutic Patents 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.