Guoxin Hu
Impact in
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism
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- Effects and risks of endocrine disrupting chemicals
Papers in
- Pharmacology 76
- Pharmacogenetics and Drug Metabolism 71
- Antibiotics Pharmacokinetics and Efficacy 8
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- PI3K/AKT/mTOR signaling in cancer 10
- Co-authors
- Ren‐Shan Ge (33 shared papers)Qingquan Lian (22 shared papers)Da‐Peng Dai (30 shared papers)Jian‐Ping Cai (24 shared papers)Dianne O. Hardy (7 shared papers)Xiaokun Li (4 shared papers)Guorong Chen (5 shared papers)Shuanghu Wang (19 shared papers)
- Journals
- Chemico-Biological Interactions (11 papers)Journal of Chromatography B (9 papers)Xenobiotica (6 papers)Pharmacology (6 papers)Drug Design Development and Therapy (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guoxin Hu
172 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 127
- Pharmacology 800
- Health, Toxicology and Mutagenesis 627
- Reproductive Medicine 205
- Endocrinology, Diabetes and Metabolism 392
- Pharmacology 251
Countries citing papers authored by Guoxin Hu
This map shows the geographic impact of Guoxin 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 Guoxin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxin Hu more than expected).
Fields of papers citing papers by Guoxin Hu
This network shows the impact of papers produced by Guoxin 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 Guoxin Hu. The network helps show where Guoxin Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoxin 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 139 | |
| 2 | 2008 | 135 | |
| 3 | 2009 | 92 | |
| 4 | 2011 | 90 | |
| 5 | 2018 | 71 | |
| 6 | 2013 | 69 | |
| 7 | 2015 | 68 | |
| 8 | 2014 | 67 | |
| 9 | 2017 | 67 | |
| 10 | 2010 | 60 | |
| 11 | 2013 | 60 | |
| 12 | 2013 | 53 | |
| 13 | 2013 | 53 | |
| 14 | 2010 | 51 | |
| 15 | 2016 | 48 | |
| 16 | 2009 | 47 | |
| 17 | 2012 | 47 | |
| 18 | 2019 | 46 | |
| 19 | 2019 | 44 | |
| 20 | 2014 | 44 |
About Guoxin Hu
Guoxin Hu is a scholar working on Pharmacology, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 174 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (71 papers), Hormonal Regulation and Hypertension (17 papers), Drug Transport and Resistance Mechanisms (16 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Hormonal and reproductive studies (10 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Chronic Myeloid Leukemia Treatments (8 papers). The work is most often cited by research in Pharmacology (800 citations), Health, Toxicology and Mutagenesis (627 citations), Reproductive Medicine (205 citations), Endocrinology, Diabetes and Metabolism (392 citations) and Pharmacology (251 citations). Guoxin Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ren‐Shan Ge, Qingquan Lian, Da‐Peng Dai, Jian‐Ping Cai, Dianne O. Hardy, Xiaokun Li, Guorong Chen, Shuanghu Wang, Jianping Cai and Ren-ai Xu. Their work appears in journals such as Chemico-Biological Interactions, Journal of Chromatography B, Xenobiotica, Pharmacology and Drug Design Development and Therapy.
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.