Zhijun Han

1.1k citations
52 papers · 831 indexed · h-index 16
Topics
MicroRNA in disease regulation (12 papers)Cancer-related molecular mechanisms research (10 papers)Circular RNAs in diseases (9 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Zhijun Han

47 papers receiving 818 citations

Peers

Zhijun Han
Comparison fields: 5 of 100
  • Molecular Biology 401
  • Cancer Research 287
  • Epidemiology 164
  • Cardiology and Cardiovascular Medicine 117
  • Oncology 116
Replace Masaomi Yamane with:
Masaomi Yamane Japan
Xubao Liu China
Kazutaka Obama Japan
Bilgehan Karadağ Türkiye
Lucas Van Aelst Belgium
Yangbai Sun China
Jia Sun United States
Sung Kwan Shin South Korea
Giovanni Vicidomini Italy
Ιlias Karapantzos Greece
Zhijun Han relative to Masaomi Yamane Japan Masaomi Yamane's profile →
Citations per field
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Masaomi Yamane · 1×
Citations per year

Countries citing papers authored by Zhijun Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhijun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Han. A scholar is included among the top collaborators of Zhijun Han 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 Zhijun Han. Zhijun Han 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 13
3 16
4 0
5 7
6 11
7 12
8 2
9 5
10 11
11 10
12 18
13 47
14 3
15 10
16 3
17 18
18 15
19 79
20
Study of Relation and Condition of Regional Industry Clusters on the Niche Theory and Model UNE ÉTUDE SUR LA RELATION ENTRE DES GROUPEMENTS RÉ GIONAUX INDUSTRIELS SOUS LA THÉORIE ET LE MODÈLE DE LA SUPERPOSITION D'ADAPTATION ÉCOLOGIQUE
0

About Zhijun Han

Zhijun Han is a scholar working on Medical Terminology, Cancer Research and Internal Medicine, having authored 52 papers that have together received 831 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (287 citations), Molecular Biology (401 citations) and Cardiology and Cardiovascular Medicine (117 citations). Zhijun Han has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Chengjian Yang, Yuan‐Lan Huang, Lizhu Zhang, Zhide Hu, Tong Su, Qiang Huang, Dan Wu, Xi Chen, Anmei Deng and Yi Sun. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Analytical Biochemistry.

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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