Jingquan Yang

1.0k citations
23 papers · 233 indexed · h-index 10
Topics
TGF-β signaling in diseases (3 papers)Dermatologic Treatments and Research (3 papers)Plant Disease Resistance and Genetics (3 papers)

In The Last Decade

Jingquan Yang

19 papers receiving 232 citations

Peers

Jingquan Yang
Comparison fields: 5 of 68
  • Molecular Biology 84
  • Surgery 41
  • Genetics 35
  • Cancer Research 29
  • Rehabilitation 25
Replace Akika Ejima with:
Akika Ejima Japan
Junfeng He China
Cristina Velez‐delValle Mexico
Xiaoting Zou China
Lajos V. Kemény Hungary
Shuxin Zheng China
Yunyun Cheng China
Anmin Lei China
P.J.J.M. Weterings Netherlands
Shao‐Jing Tan China
Jingquan Yang relative to Akika Ejima Japan Akika Ejima's profile →
Citations per field
00.5×1.5×1.8×
Akika Ejima · 1×
Citations per year

Countries citing papers authored by Jingquan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingquan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingquan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingquan Yang. A scholar is included among the top collaborators of Jingquan Yang 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 Jingquan Yang. Jingquan Yang 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 1
3 1
4 9
5 2
6 24
7 14
8 9
9 9
10 29
11 0
12 3
13 14
14 27
15 4
16 25
17
[Effect of ginsenoside Rg1 on the spatial learning-memory ability in dementia rats after transplanted with bone marrow mesenchymal stem cells].
5
18 29
19 26
20
[Study on the performances of the positive pressure powered air-filter protective hood].
1

About Jingquan Yang

Jingquan Yang is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Developmental Biology, having authored 23 papers that have together received 233 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Dermatologic Treatments and Research (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Developmental Biology (23 citations), Rehabilitation (25 citations) and Urology (21 citations). Jingquan Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Weiyang Gao, Liangfu Jiang, Zhijie Li, Ming‐Hua Zheng, Feng Zhang, Qing Yu, Xing‐Long Chen, Hede Yan, Tao Cheng and Guoyou Zhang. Their work appears in journals such as Frontiers in Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Phytopathology.

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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