Ming Hu
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Pharmacological Effects of Natural Compounds
- Biochemistry top 0.5%
- Phytochemicals and Antioxidant Activities
Papers in
- Pharmacology 80
- Pharmacogenetics and Drug Metabolism 48
- Pharmacological Effects of Natural Compounds 20
- Inflammatory mediators and NSAID effects 17
- Biochemistry 21
- Phytochemicals and Antioxidant Activities 21
- Co-authors
- Jill B. BeckerZhongqiu LiuSong GaoHuimin LinTaijun YinBaojian WuZhen YangKaustubh H. Kulkarni
- Journals
- Pharmaceutical Research (22 papers)Molecular Pharmaceutics (18 papers)Drug Metabolism and Disposition (14 papers)Journal of Agricultural and Food Chemistry (13 papers)Journal of Chromatography B (11 papers)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Ming Hu
317 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Pharmacology 2.3k
- Biochemistry 835
- Behavioral Neuroscience 447
- Molecular Medicine 555
- Pharmacology 1.7k
Countries citing papers authored by Ming Hu
This map shows the geographic impact of Ming 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 Ming Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Hu more than expected).
Fields of papers citing papers by Ming Hu
This network shows the impact of papers produced by Ming 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 Ming Hu. The network helps show where Ming Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 7 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 59 | |
| 15 | 2015 | 28 | |
| 16 | 2008 | 33 | |
| 17 | 2004 | 18 | |
| 18 | 2003 | 56 | |
| 19 | S-N curve movement-based life analytical model | 2003 | 8 |
| 20 | Modeling of the cathode of proton exchange membrane fuel cell(PEMFC) using interdigitated flow fields | 2002 | 1 |
About Ming Hu
Ming Hu is a scholar working on Pharmacology, Pharmacology, Biochemistry, Oncology and Analytical Chemistry, having authored 329 papers that have together received 11.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (54 papers), Pharmacogenetics and Drug Metabolism (48 papers), Natural product bioactivities and synthesis (32 papers), Phytoestrogen effects and research (21 papers), Phytochemicals and Antioxidant Activities (21 papers), Pharmacological Effects of Natural Compounds (20 papers), Chromatography in Natural Products (19 papers) and Inflammatory mediators and NSAID effects (17 papers). The work is most often cited by research in Pharmacology (2.3k citations), Biochemistry (835 citations), Behavioral Neuroscience (447 citations), Molecular Medicine (555 citations) and Pharmacology (1.7k citations). Ming Hu has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Jill B. Becker, Zhongqiu Liu, Song Gao, Huimin Lin, Taijun Yin, Baojian Wu, Zhen Yang, Kaustubh H. Kulkarni, Vincent H. Tam and Xiao‐Bin Jia. Their work appears in journals such as Pharmaceutical Research, Molecular Pharmaceutics, Drug Metabolism and Disposition, Journal of Agricultural and Food Chemistry and Journal of Chromatography B.
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.