Hua Wen
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology
- Sensory Systems top 10%
- Co-authors
- Irwin B. LevitanPaul BrehmLijun TianRadda RusinovaMichael J. ShipstonR. R. DuncanMohammad ShahidullahFumihito Ono
- Topics
- Ion channel regulation and function (14 papers)Neuroscience and Neuropharmacology Research (6 papers)Cardiac electrophysiology and arrhythmias (5 papers)
- Partner nations
- United StatesChinaChile
In The Last Decade
Hua Wen
23 papers receiving 658 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 531
- Cellular and Molecular Neuroscience 355
- Cardiology and Cardiovascular Medicine 194
- Cell Biology 72
- Sensory Systems 40
Countries citing papers authored by Hua Wen
This map shows the geographic impact of Hua Wen'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 Hua Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Wen more than expected).
Fields of papers citing papers by Hua Wen
This network shows the impact of papers produced by Hua Wen. 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 Hua Wen. The network helps show where Hua Wen may publish in the future.
Co-authorship network of co-authors of Hua Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Wen. A scholar is included among the top collaborators of Hua Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua Wen. Hua Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 29 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 28 | |
| 10 | 33 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | Cloning and Expression Analysis of A Non-Specific Lipid Transfer Protein Gene (SmLTP1) from Salvia miltiorrhiza Bunge | 1 |
| 14 | Bioinformatics and Expression Analysis of Isopentenyl Diphosphate Isomerase (SmIPI) from Salvia miltiorrhiza Bunge | 3 |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 21 | |
| 18 | 72 | |
| 19 | 145 | |
| 20 | 175 |
About Hua Wen
Hua Wen is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 23 papers that have together received 667 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (355 citations), Cardiology and Cardiovascular Medicine (194 citations) and Sensory Systems (40 citations). Hua Wen has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Irwin B. Levitan, Paul Brehm, Lijun Tian, Radda Rusinova, Michael J. Shipston, R. R. Duncan, Mohammad Shahidullah, Fumihito Ono, Nathaniel Heintz and Ayşe B. Tekinay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.