Jun Xia
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Cell Biology top 1%
- Cellular transport and secretion
Papers in ⓘ
- Pollution 21
- Wastewater Treatment and Nitrogen Removal 9
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- Neuroscience and Neuropharmacology Research 28
- Co-authors
- Richard L. Huganir (15 shared papers)Xiaoqun Zhang (2 shared papers)Hee Jung Chung (2 shared papers)Junyu Xu (9 shared papers)Jiaxing Xu (36 shared papers)Jeff L. Staudinger (1 shared paper)Robert H. Scannevin (1 shared paper)Kogo Takamiya (7 shared papers)
- Journals
- Bioresource Technology (16 papers)Neuron (8 papers)The Science of The Total Environment (6 papers)Journal of Neuroscience (6 papers)Chemical Engineering Journal (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Xia
166 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 154
- Cellular and Molecular Neuroscience 2.8k
- Cell Biology 1.1k
- Molecular Biology 3.7k
- Developmental Neuroscience 220
- Neurology 424
Countries citing papers authored by Jun Xia
This map shows the geographic impact of Jun Xia'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 Jun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xia more than expected).
Fields of papers citing papers by Jun Xia
This network shows the impact of papers produced by Jun Xia. 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 Jun Xia. The network helps show where Jun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xia, 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 478 | |
| 2 | 1999 | 474 | |
| 3 | 1998 | 333 | |
| 4 | 2000 | 318 | |
| 5 | 2006 | 235 | |
| 6 | 2005 | 205 | |
| 7 | 2014 | 192 | |
| 8 | 2009 | 166 | |
| 9 | 2009 | 160 | |
| 10 | 2018 | 149 | |
| 11 | 2010 | 144 | |
| 12 | 2000 | 134 | |
| 13 | 2019 | 132 | |
| 14 | 2018 | 130 | |
| 15 | 2006 | 113 | |
| 16 | 2011 | 105 | |
| 17 | 2009 | 103 | |
| 18 | 2005 | 103 | |
| 19 | 2006 | 91 | |
| 20 | 2007 | 85 |
About Jun Xia
Jun Xia is a scholar working on Pollution, Cellular and Molecular Neuroscience, Microbiology, Developmental Neuroscience and Industrial and Manufacturing Engineering, having authored 173 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Biofuel production and bioconversion (28 papers), Microbial Metabolic Engineering and Bioproduction (20 papers), Enzyme Catalysis and Immobilization (17 papers), Cellular transport and secretion (12 papers), Catalysis for Biomass Conversion (11 papers), Ion channel regulation and function (11 papers) and Wastewater Treatment and Nitrogen Removal (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Cell Biology (1.1k citations), Molecular Biology (3.7k citations), Developmental Neuroscience (220 citations) and Neurology (424 citations). Jun Xia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Richard L. Huganir, Xiaoqun Zhang, Hee Jung Chung, Junyu Xu, Jiaxing Xu, Jeff L. Staudinger, Robert H. Scannevin, Kogo Takamiya, David J. Linden and Nan Xiao. Their work appears in journals such as Bioresource Technology, Neuron, The Science of The Total Environment, Journal of Neuroscience and Chemical Engineering Journal.
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.