Hsiao‐Fan Chen

907 citations
22 papers · 640 indexed · h-index 14
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)Epigenetics and DNA Methylation (4 papers)RNA modifications and cancer (4 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Hsiao‐Fan Chen

22 papers receiving 633 citations

Peers

Hsiao‐Fan Chen
Comparison fields: 5 of 91
  • Molecular Biology 358
  • Cancer Research 158
  • Oncology 127
  • Infectious Diseases 58
  • Pulmonary and Respiratory Medicine 56
Replace Jui‐Chieh Chen with:
Jui‐Chieh Chen Taiwan
Kangdong Liu China
Guoguo Jin China
Ya‐Jia Xie Macao
Ting Xiao China
Shrawan K. Mishra United States
Gaurav Parashar India
Junshan Ruan China
Junjie Hu China
Yu‐Ching Wen Taiwan
Hsiao‐Fan Chen relative to Jui‐Chieh Chen Taiwan Jui‐Chieh Chen's profile →
Citations per field
00.5×1.7×
Jui‐Chieh Chen · 1×
Citations per year

Countries citing papers authored by Hsiao‐Fan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Fan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiao‐Fan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao‐Fan Chen. A scholar is included among the top collaborators of Hsiao‐Fan Chen 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 Hsiao‐Fan Chen. Hsiao‐Fan Chen 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 19
2 2
3 4
4 3
5 14
6 7
7 13
8 4
9
Disulfiram blocked cell entry of SARS-CoV-2 via inhibiting the interaction of spike protein and ACE2.
16
10 17
11 24
12 15
13
Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease
66
14 123
15 5
16 44
17 28
18 37
19 65
20 122

About Hsiao‐Fan Chen

Hsiao‐Fan Chen is a scholar working on Cancer Research, Infectious Diseases and Computational Theory and Mathematics, having authored 22 papers that have together received 640 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (158 citations), Biochemistry (34 citations) and Molecular Biology (358 citations). Hsiao‐Fan Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kou‐Juey Wu, Shu‐Chun Teng, Mien‐Chie Hung, Yeh Chen, Kai‐Wen Hsu, Wei‐Chung Cheng, Wei‐Jan Wang, Han‐Tsang Wu, Kuo-Juei Lin and Chang‐Chi Hsieh. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Genome biology.

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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