Cheong Xin Chan

5.6k citations
76 papers · 2.2k indexed · h-index 30
Topics
Genomics and Phylogenetic Studies (39 papers)Microbial Community Ecology and Physiology (24 papers)Protist diversity and phylogeny (22 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Cheong Xin Chan

74 papers receiving 2.2k citations

Peers

Cheong Xin Chan
Comparison fields: 5 of 103
  • Molecular Biology 1.2k
  • Ecology 1.0k
  • Oceanography 601
  • Plant Science 377
  • Renewable Energy, Sustainability and the Environment 264
Replace Javier del Campo with:
Javier del Campo Spain
Jan Janouškovec Canada
Sven B. Gould Germany
Évelyne Derelle France
Christopher E. Lane United States
Aleš Horák Czechia
G. I. McFadden Australia
Eun Chan Yang South Korea
Jean-Michel Escoubas France
Christian Woehle Germany
Cheong Xin Chan relative to Javier del Campo Spain Javier del Campo's profile →
Citations per field
00.5×
Javier del Campo · 1×
Citations per year

Countries citing papers authored by Cheong Xin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Cheong Xin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheong Xin 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 Cheong Xin Chan. The network helps show where Cheong Xin Chan may publish in the future.

Co-authorship network of co-authors of Cheong Xin Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheong Xin Chan. A scholar is included among the top collaborators of Cheong Xin 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 Cheong Xin Chan. Cheong Xin 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 0
2 5
3 1
4 3
5 6
6 3
7 6
8 11
9 19
10 18
11 8
12 5
13 64
14 123
15 31
16 144
17 31
18 76
19
A two-phase strategy for detecting recombination in nucleotide sequences
12
20 16

About Cheong Xin Chan

Cheong Xin Chan is a scholar working on Oceanography, Ecology and Molecular Biology, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (39 papers), Microbial Community Ecology and Physiology (24 papers) and Protist diversity and phylogeny (22 papers). The work is most often cited by research in Oceanography (601 citations), Ecology (1.0k citations) and Molecular Biology (1.2k citations). Cheong Xin Chan has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Mark A. Ragan, Debashish Bhattacharya, Robert G. Beiko, Raúl A. González‐Pech, Timothy G. Stephens, Hwan Su Yoon, Guillaume Bernard, Amin R. Mohamed, Yibi Chen and David J. Miller. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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