Jing Hua

11.7k citations
215 papers · 7.3k indexed · 1 hit paper · h-index 46
Topics
Liver Disease Diagnosis and Treatment (20 papers)Immune Cell Function and Interaction (11 papers)T-cell and B-cell Immunology (11 papers)

In The Last Decade

Jing Hua

205 papers receiving 7.1k citations

Hit Papers

The Mouse Retina as an Angiogenesis Model20102026201520202010100200300400500

Peers

Jing Hua
Comparison fields: 5 of 158
  • Molecular Biology 2.7k
  • Immunology 1.4k
  • Epidemiology 1.1k
  • Surgery 781
  • Oncology 780
Replace Kazuo Takahashi with:
Kazuo Takahashi Japan
Sung‐Hwan Park South Korea
Gerhard J. Zlabinger Austria
Grietje Molema Netherlands
Ikuo Morita Japan
Alexis Desmoulière France
Toshio Watanabe Japan
Paul J. Higgins United States
Xiaohong Wang China
R. Hal Scofield United States
Jing Hua relative to Kazuo Takahashi Japan Kazuo Takahashi's profile →
Citations per field
00.5×1.5×2.4×
Kazuo Takahashi · 1×
Citations per year

Countries citing papers authored by Jing Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Hua. A scholar is included among the top collaborators of Jing Hua 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 Hua. Jing Hua 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 0
2 23
3 13
4 12
5 24
6 18
7 3
8 2
9 64
10 18
11 0
12 6
13 16
14 24
15 17
16 75
17
Experimental study on compressive property of PMMA within wide temperature and wide strain rate range
1
18
The CCR7-CCL19/CCL21 Axis Mediates Enhanced Antigen-Presenting Cell Trafficking In High-Risk Corneal Transplantation
3
19 1
20
Evaluation of the domestic equipment of automatic nucleic acids extraction system with magnetic beads for the detection and pre-treatment of HBV-DNA
1

About Jing Hua

Jing Hua is a scholar working on Hepatology, Immunology and Metals and Alloys, having authored 215 papers that have together received 7.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Immune Cell Function and Interaction (11 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Immunology (1.4k citations), Ophthalmology (479 citations) and Hepatology (371 citations). Jing Hua has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiong Ma, Zhiping Li, Haiwei Wu, Mary K. Crow, Qinyu Xu, Christina Lee, Kyriakos A. Kirou, Huimin Wu, Guohua Dong and Shi‐Min Yuan. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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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