Chia‐Ling Chan

3.0k total citations
8 papers, 116 citations indexed

About

Chia‐Ling Chan is a scholar working on Molecular Biology, Oncology and Nature and Landscape Conservation. According to data from OpenAlex, Chia‐Ling Chan has authored 8 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Nature and Landscape Conservation. Recurrent topics in Chia‐Ling Chan's work include Ichthyology and Marine Biology (2 papers), Coral and Marine Ecosystems Studies (2 papers) and Identification and Quantification in Food (2 papers). Chia‐Ling Chan is often cited by papers focused on Ichthyology and Marine Biology (2 papers), Coral and Marine Ecosystems Studies (2 papers) and Identification and Quantification in Food (2 papers). Chia‐Ling Chan collaborates with scholars based in Australia, Taiwan and United Kingdom. Chia‐Ling Chan's co-authors include Shang‐Yin Vanson Liu, Chaolun Allen Chen, Alexander Swarbrick, Daniel Roden, Sunny Z. Wu, Thomas R. Cox, Mun N. Hui, D. Neil Watkins, Aurélie Cazet and Renea A. Taylor and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Chia‐Ling Chan

8 papers receiving 113 citations

Peers

Chia‐Ling Chan
Comparison fields: 5 of 36
  • Molecular Biology 80
  • Nature and Landscape Conservation 58
  • Aquatic Science 32
  • Ecology 22
  • Oncology 18
Replace Chu‐Yin Yeh with:
Chu‐Yin Yeh United States
Qingzheng Zhang China
Julia Wücherpfennig United States
Emma De Neef United States
Olivia Weeks United States
Jochen Trautner Germany
Brighitta Eletti Italy
Sheila J. Heater United States
Gideon Zipprich Germany
Ed Belouski United States
Chu‐Yin Yeh United States View profile →
Citations per field, relative to Chia‐Ling Chan
Chia‐Ling Chan · 1×
Citations per year, relative to Chia‐Ling Chan
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Countries citing papers authored by Chia‐Ling Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Ling Chan

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 7
2 8
3 10
4 8
5 2
6 7
7 7
8 67

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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