Clarence W. Chan

553 citations
29 papers · 354 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)SARS-CoV-2 detection and testing (6 papers)Platelet Disorders and Treatments (5 papers)
Partner nations
United StatesCanadaSpain

In The Last Decade

Clarence W. Chan

26 papers receiving 344 citations

Peers

Clarence W. Chan
Comparison fields: 5 of 96
  • Molecular Biology 196
  • Infectious Diseases 66
  • Hematology 43
  • Surgery 42
  • Biomedical Engineering 34
Replace Alexis Sennepin with:
Alexis Sennepin France
Hsiao-Hsuan Kuo United States
Aurélie Wiedemann France
Katherine A. Watson Australia
Stefania Luppi Italy
Krishna Patel United States
Maria Luisa Romiti Italy
Lauren Reoma United States
Danika Schepis Sweden
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Clarence W. Chan relative to Alexis Sennepin France Alexis Sennepin's profile →
Citations per field
00.5×3.8×
Alexis Sennepin · 1×
Citations per year

Countries citing papers authored by Clarence W. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Clarence W. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarence W. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Clarence W. Chan. A scholar is included among the top collaborators of Clarence W. 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 Clarence W. Chan. Clarence W. 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 8
3 0
4 3
5 5
6 28
7 9
8 8
9 13
10 12
11 3
12 24
13 17
14 7
15 56
16
Using the ePortfolio to Complement Standardized Testing in a Healthcare Professional Program: Better Education or More Busy Work?.
2
17 38
18 9
19 10
20 2

About Clarence W. Chan

Clarence W. Chan is a scholar working on Health Informatics, Hematology and Infectious Diseases, having authored 29 papers that have together received 354 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (6 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Hematology (43 citations), Infectious Diseases (66 citations) and Internal Medicine (12 citations). Clarence W. Chan has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Alfonso Mondragón, Nicholas J. Reiter, Kiang-Teck J Yeo, Vera Tešić, Zhonglei Chen, Michael David Clark, Ishwar Radhakrishnan, Yongbo Zhang, Geoffrey D. Wool and Gregory David. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and ACS Nano.

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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