Jin-ren Liu

55 papers receiving 991 citations

Peers

Jin-ren Liu
Comparison fields: 5 of 127
  • Metals and Alloys 37
  • Radiology, Nuclear Medicine and Imaging 226
  • Fluid Flow and Transfer Processes 41
  • Cellular and Molecular Neuroscience 116
  • Materials Chemistry 266
Replace Kenichi Murakami with:
Kenichi Murakami Japan
Shohei Matsumoto Japan
Xiaoye Zhao China
Hiroshi Kuroki Japan
Xuan Liu China
Sheng Song China
Yasuhiro Aoki Japan
Takashi Inoue Japan
Xing Liang United States
Xiaoyong Chen China
Jin-ren Liu relative to Kenichi Murakami Japan Kenichi Murakami's profile →
Citations per field
00.5×5×10×16.1×
Kenichi Murakami · 1×
Citations per year

Countries citing papers authored by Jin-ren Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jin-ren Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-ren 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 Jin-ren Liu. The network helps show where Jin-ren Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin-ren Liu, 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 Jin-ren Liu Line = papers co-authored together Jin-ren Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 200964
3 201763
4 201453
5 201150
6 201744
7 201840
8 201130
9 201130
10 201930
11 201629
12 202224
13 201523
14 201022
15 201122
16 201721
17 201721
18 201919
19 202319
20 201818

About Jin-ren Liu

Jin-ren Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Materials Chemistry, Rehabilitation and Electronic, Optical and Magnetic Materials, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (18 papers), Nanoplatforms for cancer theranostics (7 papers), Plasma Diagnostics and Applications (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Multiferroics and related materials (5 papers), Ferroelectric and Piezoelectric Materials (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Metals and Alloys (37 citations), Radiology, Nuclear Medicine and Imaging (226 citations), Fluid Flow and Transfer Processes (41 citations), Cellular and Molecular Neuroscience (116 citations) and Materials Chemistry (266 citations). Jin-ren Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xingmin Shi, Guan-Jun Zhang, Guimin Xu, Dawei Wang, Peide Han, Jiale Zhang, Guanjun Qiao, Zuo‐Guang Ye, Jiangang Long and Ying Tang. Their work appears in journals such as Neuroscience, IEEE Transactions on Plasma Science, Physical review. B., Journal of Physics D Applied Physics and Plasma Processes and Polymers.

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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