Meihua Chu
Impact in
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- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Endocrinology top 10%
- Plant and Fungal Interactions Research
Papers in
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- Receptor Mechanisms and Signaling 2
- Advanced biosensing and bioanalysis techniques 1
- Ginseng Biological Effects and Applications 1
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- Plant Virus Research Studies 4
- Plant Pathogenic Bacteria Studies 3
- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Raymond C. Stevens (2 shared papers)Chong Wang (1 shared paper)Vsevolod Katritch (1 shared paper)Daniel Wacker (1 shared paper)Gye Won Han (1 shared paper)Xi‐Ping Huang (1 shared paper)H. Eric Xu (1 shared paper)Wei Liu (1 shared paper)
- Journals
- Molecular Plant-Microbe Interactions (2 papers)PLoS Biology (1 paper)Virus Genes (1 paper)Science (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Meihua Chu
10 papers receiving 884 citations
Meihua Chu's Hit Papers
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 346
- Endocrinology 65
- Molecular Biology 589
- Nutrition and Dietetics 97
- Plant Science 196
Countries citing papers authored by Meihua Chu
This map shows the geographic impact of Meihua Chu'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 Meihua Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meihua Chu more than expected).
Fields of papers citing papers by Meihua Chu
This network shows the impact of papers produced by Meihua Chu. 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 Meihua Chu. The network helps show where Meihua Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meihua Chu, 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 | Structural Features for Functional Selectivity at Serotonin Receptors Hit paper breakdown → | 2013 | 543 |
| 2 | 1999 | 92 | |
| 3 | 2000 | 91 | |
| 4 | 1997 | 57 | |
| 5 | 2020 | 43 | |
| 6 | 1999 | 31 | |
| 7 | 2008 | 24 | |
| 8 | 2019 | 5 | |
| 9 | 1995 | 4 | |
| 10 | 2011 | 4 |
About Meihua Chu
Meihua Chu is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 894 indexed citations. Recurring topics across this work include Plant Virus Research Studies (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Chemical synthesis and alkaloids (1 paper), Trace Elements in Health (1 paper) and Ginseng Biological Effects and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (346 citations), Endocrinology (65 citations), Molecular Biology (589 citations), Nutrition and Dietetics (97 citations) and Plant Science (196 citations). Meihua Chu has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Raymond C. Stevens, Chong Wang, Vsevolod Katritch, Daniel Wacker, Gye Won Han, Xi‐Ping Huang, H. Eric Xu, Wei Liu, Yi Jiang and Bryan L. Roth. Their work appears in journals such as Molecular Plant-Microbe Interactions, PLoS Biology, Virus Genes, Science and Cell Cycle.
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.