Jun Xia

8.9k citations
176 papers · 7.4k · h-index 44

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 20
    • Enzyme Catalysis and Immobilization 17
    • Ion channel regulation and function 9
    • Biofuel production and bioconversion 28
    • Catalysis for Biomass Conversion 12

Jun Xia

168 papers receiving 7.3k citations

Peers

Jun Xia
Comparison fields: 5 of 151
  • Cellular and Molecular Neuroscience 2.7k
  • Cell Biology 1.1k
  • Developmental Neuroscience 213
  • Molecular Biology 3.6k
  • Neurology 413
Replace Pamela J. Lein with:
Pamela J. Lein United States
Aaron B. Bowman United States
Andrew B. West United States
Ken Kin Lam Yung Hong Kong
Gholamreza Ahmadian Iran
Yongqing Zhang China
Maurı́cio Reis Bogo Brazil
Vellareddy Anantharam United States
Ranjita Betarbet United States
Qin Wang United States
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Citations per field
00.5×1.7×
Pamela J. Lein · 1×
Citations per year

Countries citing papers authored by Jun Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Xia Line = papers co-authored together Jun Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000479
2 1999474
3 1998333
4 2000318
5 2006236
6 2005205
7 2014201
8 2009166
9 2009162
10 2018154
11 2010146
12 2019142
13 2000135
14 2018135
15 2006114
16 2011106
17 2009104
18 2005103
19 200691
20 202090

About Jun Xia

Jun Xia is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Pollution and Cell Biology, having authored 176 papers that have together received 7.4k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (28 papers), Neuroscience and Neuropharmacology Research (27 papers), Microbial Metabolic Engineering and Bioproduction (20 papers), Enzyme Catalysis and Immobilization (17 papers), Cellular transport and secretion (12 papers), Catalysis for Biomass Conversion (12 papers), Microplastics and Plastic Pollution (9 papers) and Ion channel regulation and function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Cell Biology (1.1k citations), Developmental Neuroscience (213 citations), Molecular Biology (3.6k citations) and Neurology (413 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, Journal of Neuroscience, The Science of The Total Environment 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.

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