Siu‐Hong Chan

2.3k citations
40 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
RNA and protein synthesis mechanisms (15 papers)Bacteriophages and microbial interactions (11 papers)Advanced biosensing and bioanalysis techniques (9 papers)

In The Last Decade

Siu‐Hong Chan

40 papers receiving 1.6k citations

Hit Papers

mRNA capping: biological functions and applications20162026201920222016100200300400500

Peers

Siu‐Hong Chan
Comparison fields: 5 of 105
  • Molecular Biology 1.3k
  • Infectious Diseases 280
  • Genetics 257
  • Ecology 215
  • Immunology 185
Replace Silvi Rouskin with:
Silvi Rouskin United States
Guilhem Faure United States
Guido Hansen Germany
Maria W. Górna Poland
Kiyohisa Mizumoto Japan
Jayme Salsman Canada
Darrell Ricke United States
Harry O. Voorma Netherlands
Alex G. Johnson United States
William F. Burkholder United States
Siu‐Hong Chan relative to Silvi Rouskin United States Silvi Rouskin's profile →
Citations per field
00.5×1.5×
Silvi Rouskin · 1×
Citations per year

Countries citing papers authored by Siu‐Hong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Siu‐Hong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siu‐Hong Chan. 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 Siu‐Hong Chan. The network helps show where Siu‐Hong Chan may publish in the future.

Co-authorship network of co-authors of Siu‐Hong Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Siu‐Hong Chan. A scholar is included among the top collaborators of Siu‐Hong Chan 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 Siu‐Hong Chan. Siu‐Hong Chan 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 3
2 15
3 27
4 168
5 15
6 3
7 13
8 4
9 14
10 16
11 8
12 28
13 8
14 167
15 23
16 21
17 46
18 5
19 19
20 24

About Siu‐Hong Chan

Siu‐Hong Chan is a scholar working on Molecular Biology, Ecology and Molecular Medicine, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Bacteriophages and microbial interactions (11 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Infectious Diseases (280 citations) and Genetics (257 citations). Siu‐Hong Chan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include G. Brett Robb, Anand Ramanathan, Shuang-yong Xu, Yogesh K. Gupta, Nan Dai, Yu Zheng, Anurag Misra, Shailee Arya, Luis Martínez‐Sobrido and Pang‐Chui Shaw. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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