Jing‐Xia Liu

764 citations
31 papers · 578 indexed · h-index 15
Topics
Zebrafish Biomedical Research Applications (9 papers)MicroRNA in disease regulation (6 papers)Nanoparticles: synthesis and applications (4 papers)

In The Last Decade

Jing‐Xia Liu

30 papers receiving 573 citations

Peers

Jing‐Xia Liu
Comparison fields: 5 of 76
  • Molecular Biology 233
  • Cell Biology 119
  • Immunology 118
  • Health, Toxicology and Mutagenesis 107
  • Materials Chemistry 95
Replace Guang Zhao with:
Guang Zhao China
José Dias Corrêa Brazil
Sinnakarupan Mathavan Singapore
Sébastien Messiaen France
Herbert M. Espinoza United States
Bei‐En Chang Taiwan
Shuang-Li Hao China
Lucy Byrnes Ireland
Jane LaDu United States
Albert Wai Hong Kong
Jing‐Xia Liu relative to Guang Zhao China Guang Zhao's profile →
Citations per field
00.5×1.7×
Guang Zhao · 1×
Citations per year

Countries citing papers authored by Jing‐Xia Liu

Since Specialization
Citations

This map shows the geographic impact of Jing‐Xia Liu'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 Jing‐Xia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Xia Liu more than expected).

Fields of papers citing papers by Jing‐Xia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Xia Liu. 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 Jing‐Xia Liu. The network helps show where Jing‐Xia Liu may publish in the future.

Co-authorship network of co-authors of Jing‐Xia Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Xia Liu. A scholar is included among the top collaborators of Jing‐Xia Liu 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 Jing‐Xia Liu. Jing‐Xia Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 0
4 40
5 31
6 5
7 9
8 72
9 24
10 24
11 35
12 44
13 37
14 54
15 15
16 5
17 29
18 5
19
Molecular genetic analysis on Pengze crucian carp and comparison with strain A of gynogenetic silver crucian carp
4
20
Studies on Microsatellite Markers of Four Artificially Gynogenetic Families in Ornamental Carp
2

About Jing‐Xia Liu

Jing‐Xia Liu is a scholar working on Cell Biology, Cancer Research and Physiology, having authored 31 papers that have together received 578 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), MicroRNA in disease regulation (6 papers) and Nanoparticles: synthesis and applications (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (107 citations), Cell Biology (119 citations) and Developmental Neuroscience (30 citations). Jing‐Xia Liu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Ting Zhang, Xinying Zhou, Jian‐Fang Gui, Junjie Wu, Weimin Wang, Pengpeng Guan, Long Ren, Wuhan Xiao, Bo Hu and Liyan Yin. Their work appears in journals such as Journal of Biological Chemistry, The Plant Cell and Cancer Research.

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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