Ju-Qiang Wang

903 total citations
21 papers, 536 citations indexed

About

Ju-Qiang Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ju-Qiang Wang has authored 21 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Ju-Qiang Wang's work include Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cholesterol and Lipid Metabolism (4 papers). Ju-Qiang Wang is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cholesterol and Lipid Metabolism (4 papers). Ju-Qiang Wang collaborates with scholars based in China, Japan and South Korea. Ju-Qiang Wang's co-authors include Fumikazu Okajima, Hideaki Tomura, Masayuki Tobo, Kōichi Sato, Chihiro Mogi, Mayumi Komachi, Alatangaole Damirin, Chuzhao Lei, Junko Kon and Xianyong Lan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bone and Mineral Research and Gene.

In The Last Decade

Ju-Qiang Wang

21 papers receiving 530 citations

Peers

Ju-Qiang Wang
Comparison fields: 5 of 74
  • Molecular Biology 350
  • Genetics 122
  • Cancer Research 95
  • Physiology 84
  • Oncology 53
Replace Takahiro Ishizuka with:
Takahiro Ishizuka Japan
Jean‐Christophe Pointud France
Xiao‐Song Wang United States
Shiu‐Ying Ho United States
Anika V. Prabhu Australia
Sylvia Solakidi Greece
P. M. Nishina United States
Lei Xiao China
Prashant Rajbhandari United States
Saskia J.G. Hoefs Netherlands
Takahiro Ishizuka Japan View profile →
Citations per field, relative to Ju-Qiang Wang
Ju-Qiang Wang · 1×
Citations per year, relative to Ju-Qiang Wang
Ju-Qiang Wang · 1×

Countries citing papers authored by Ju-Qiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Qiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Qiang Wang. 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 Ju-Qiang Wang. The network helps show where Ju-Qiang Wang may publish in the future.

Co-authorship network of co-authors of Ju-Qiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ju-Qiang Wang. A scholar is included among the top collaborators of Ju-Qiang Wang 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 Ju-Qiang Wang. Ju-Qiang Wang 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
# Work Indexed citations
1 21
2 7
3 12
4 19
5 3
6 21
7 11
8 5
9 64
10 21
11 11
12 12
13
Genetic variations of Hinf I, Alu I and Pst I loci within POU1F1 gene exon 6 and its association with growth traits in Jiaxian Red cattle.
1
14 6
15 31
16 59
17
Study of Effect of Chinese Herbal Medicine Additive on Fattening
2
18 45
19 54
20 83

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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