Kun Han

589 total citations
23 papers, 291 citations indexed

About

Kun Han is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Kun Han has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Neurology. Recurrent topics in Kun Han's work include interferon and immune responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune Response and Inflammation (3 papers). Kun Han is often cited by papers focused on interferon and immune responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune Response and Inflammation (3 papers). Kun Han collaborates with scholars based in China, United States and South Korea. Kun Han's co-authors include Ying Jing, Liying Bai, Zhisong Li, Wei Zhang, Mei Yu, Ji‐Tian Xu, Shuhong Zhao, Jingjing Kong, Xiumei Zhang and Ning Jia and has published in prestigious journals such as Scientific Reports, Cancer Letters and Reproduction.

In The Last Decade

Kun Han

23 papers receiving 285 citations

Peers

Kun Han
Comparison fields: 5 of 75
  • Molecular Biology 139
  • Physiology 78
  • Immunology 52
  • Cellular and Molecular Neuroscience 43
  • Cancer Research 37
Replace Marisa Lopez‐Cruzan with:
Marisa Lopez‐Cruzan United States
Daniel Siuda Germany
Amit Agarwal United States
Qi-Wen Guan China
Joan Monnier United States
Claudia Carmone Netherlands
Amy D. Glass United States
Brandi Wasek United States
Marisa Lopez‐Cruzan United States View profile →
Citations per field, relative to Kun Han
Kun Han · 1×
Citations per year, relative to Kun Han
Kun Han · 1×

Countries citing papers authored by Kun Han

Since Specialization
Citations

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

Fields of papers citing papers by Kun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Han. A scholar is included among the top collaborators of Kun 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 Kun Han. Kun 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
# Work Indexed citations
1 1
2 1
3 1
4 5
5 4
6 7
7 6
8 5
9 9
10 6
11 6
12 15
13 24
14 17
15 10
16 61
17
Prognostic value of SOX2 in digestive tumors: a meta-analysis.
8
18 42
19
Therapeutic Effect of Tissue Cultured Root of Mountain Panax ginseng C. A. Mayer Against 2,3,7,8-Tetrachlorodibenzo-p-dioxin Induced Toxicity in Rat
1
20 47

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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