Tsun‐Leung Chan

433 total citations
17 papers, 296 citations indexed

About

Tsun‐Leung Chan is a scholar working on Genetics, Cancer Research and Oncology. According to data from OpenAlex, Tsun‐Leung Chan has authored 17 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Tsun‐Leung Chan's work include BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic factors in colorectal cancer (3 papers). Tsun‐Leung Chan is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic factors in colorectal cancer (3 papers). Tsun‐Leung Chan collaborates with scholars based in Hong Kong, China and United States. Tsun‐Leung Chan's co-authors include Edmond S.K., Chun Hang Au, Karl A. Schellenberg, Ava Kwong, Vivian Y. Shin, Charles L. Wadkins, B. Thomas, Jiawei Chen, F. B. F. Law and James M. Ford and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and Cancer.

In The Last Decade

Tsun‐Leung Chan

17 papers receiving 284 citations

Peers

Tsun‐Leung Chan
Comparison fields: 5 of 75
  • Molecular Biology 132
  • Genetics 62
  • Oncology 59
  • Cancer Research 58
  • Hematology 52
Replace Mohammad Mahdi Kooshyar with:
Mohammad Mahdi Kooshyar Iran
Jamie Jennings‐Gee United States
Marie A. Hollenhorst United States
Maryse Dupouy France
Pochi R. Subbarayan United States
Hyunji Jo South Korea
Shi Ding China
Ying Xie China
Shannon L. Ward United Kingdom
Matthew Sullivan United States
Mohammad Mahdi Kooshyar Iran View profile →
Citations per field, relative to Tsun‐Leung Chan
Tsun‐Leung Chan · 1×
Citations per year, relative to Tsun‐Leung Chan
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Countries citing papers authored by Tsun‐Leung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tsun‐Leung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsun‐Leung Chan

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 11
2 8
3 7
4 9
5 8
6
Somatic mutation profiling in BRCA-negative breast and ovarian cancer patients by multigene panel sequencing.
10
7 15
8 22
9 21
10 2
11 51
12 43
13 7
14 22
15 1
16 23
17 36

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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