Xiao-Nan Fan

476 total citations
16 papers, 340 citations indexed

About

Xiao-Nan Fan is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiao-Nan Fan has authored 16 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiao-Nan Fan's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (4 papers). Xiao-Nan Fan is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (4 papers). Xiao-Nan Fan collaborates with scholars based in China, United States and United Kingdom. Xiao-Nan Fan's co-authors include Shao‐Wu Zhang, Song-Yao Zhang, Songjian Lu, Kunju Zhu, Xixi Zhang, Weina Li, Jia Meng, Teng Zhang, Xinghua Lu and Lifan Liang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Xiao-Nan Fan

15 papers receiving 336 citations

Peers

Xiao-Nan Fan
Comparison fields: 5 of 51
  • Molecular Biology 274
  • Cancer Research 190
  • Artificial Intelligence 32
  • Computational Theory and Mathematics 25
  • Endocrinology 19
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Jihwan Ha South Korea
Jack P. Hou United States
Zhijun Liao China
Jiancheng Ni China
Xiwei Tang China
Letian Wang China
Yongkang Hou China
Qiguo Dai China
Zeina R. Al Sayed France
Qinhu Zhang China
Jihwan Ha South Korea View profile →
Citations per field, relative to Xiao-Nan Fan
Xiao-Nan Fan · 1×
Citations per year, relative to Xiao-Nan Fan
Xiao-Nan Fan · 1×

Countries citing papers authored by Xiao-Nan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Nan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Nan Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Nan Fan. A scholar is included among the top collaborators of Xiao-Nan 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 Xiao-Nan Fan. Xiao-Nan Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 15
2 4
3 34
4 14
5 1
6 30
7 30
8 45
9 61
10 3
11 2
12 12
13 71
14 0
15 16
16 2

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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