Kai Fan

863 total citations
35 papers, 453 citations indexed

About

Kai Fan is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Kai Fan has authored 35 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Plant Science and 4 papers in Infectious Diseases. Recurrent topics in Kai Fan's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), COVID-19 epidemiological studies (3 papers) and Immune Response and Inflammation (3 papers). Kai Fan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), COVID-19 epidemiological studies (3 papers) and Immune Response and Inflammation (3 papers). Kai Fan collaborates with scholars based in China, United States and United Kingdom. Kai Fan's co-authors include Sibin Yu, Wenqiang Sun, Huihao Xu, Yipeng Jin, Degui Lin, Chaopu Zhang, Jiahao Lin, Zhongjie Liu, Shuaiyu Wang and Li Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLANT PHYSIOLOGY.

In The Last Decade

Kai Fan

30 papers receiving 446 citations

Peers

Kai Fan
Comparison fields: 5 of 98
  • Plant Science 168
  • Molecular Biology 149
  • Biomaterials 80
  • Genetics 66
  • Biomedical Engineering 39
Replace Dandan Han with:
Dandan Han China
Pu Yao China
Farzaneh Jafari Iran
Kam‐Len Daniel Lee Hong Kong
Burcu Nur Keçeli Belgium
You-Jin Kim South Korea
Cláudia Oliveira Portugal
Shweta Pandey India
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Dandan Han China View profile →
Citations per field, relative to Kai Fan
Kai Fan · 1×
Citations per year, relative to Kai Fan
Kai Fan · 1×

Countries citing papers authored by Kai Fan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Fan. A scholar is included among the top collaborators of Kai Fan 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 Kai Fan. Kai Fan 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 3
2 0
3 3
4 0
5 0
6 4
7 21
8 0
9 0
10 5
11 6
12 3
13 18
14 49
15 16
16 68
17 17
18
immunomodulatory activity and protective effects of polysaccharide from eupatorium adenophorum leaf extract on highly pathogenic h5n1 influenza infection
5
19
The influence of transforming growth factor beta-1 proven in autologous omental graft on the healing of critical size defects in rabbit radius.
1
20 6

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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