Jing Liu

6.3k citations
233 papers · 4.4k indexed · 2 hit papers · h-index 30
Topics
Advanced MRI Techniques and Applications (21 papers)Cancer, Hypoxia, and Metabolism (12 papers)Advanced Neuroimaging Techniques and Applications (8 papers)

In The Last Decade

Jing Liu

204 papers receiving 4.4k citations

Hit Papers

Quantitative susceptibility map reconstruction from MR ph...200920262014202020092011100200300400500

Peers

Jing Liu
Comparison fields: 5 of 195
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Molecular Biology 721
  • Biomedical Engineering 483
  • Materials Chemistry 482
  • Neurology 339
Replace Shoichi Maruyama with:
Shoichi Maruyama Japan
Masaya Takahashi Japan
Masanori Fukushima Japan
P. G. Barth Netherlands
Akihisa Takahashi Japan
Willem Vaalburg Netherlands
Chad Haynes United States
Koji Murakami Japan
Suzanne Wehrli United States
Yipeng Wang China
Jing Liu relative to Shoichi Maruyama Japan Shoichi Maruyama's profile →
Citations per field
00.5×3.3×
Shoichi Maruyama · 1×
Citations per year

Countries citing papers authored by Jing Liu

Since Specialization
Citations

This map shows the geographic impact of Jing 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 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 Liu more than expected).

Fields of papers citing papers by Jing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Liu. A scholar is included among the top collaborators of Jing 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 Liu. Jing 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 2
2 1
3 3
4 0
5 27
6 1
7 4
8 1
9 0
10 1
11 3
12 2
13 11
14 5
15 0
16 7
17 8
18 5
19 2
20 68

About Jing Liu

Jing Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biological Psychiatry and Cancer Research, having authored 233 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (21 papers), Cancer, Hypoxia, and Metabolism (12 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Neurology (339 citations) and Biochemistry (156 citations). Jing Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pascal Spincemaille, Ludovic de Rochefort, Yi Wang, Yi Wang, Tian Liu, James Ledoux, Ildar Khalidov, Vincent Lebon, Tian Liu and Jianlin Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

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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