Yingleong Chan

2.8k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Yingleong Chan is a scholar working on Molecular Biology, Genetics and Computational Mechanics. According to data from OpenAlex, Yingleong Chan has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Computational Mechanics. Recurrent topics in Yingleong Chan's work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and CRISPR and Genetic Engineering (4 papers). Yingleong Chan is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and CRISPR and Genetic Engineering (4 papers). Yingleong Chan collaborates with scholars based in United States, United Kingdom and Singapore. Yingleong Chan's co-authors include Joel N. Hirschhorn, Julian C. Lui, Elaine T. Lim, Tune H. Pers, Lude Franke, Tōnu Esko, Sailaja Vedantam, Soumya Raychaudhuri, George M. Church and Timothy M. Frayling and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Neurology.

In The Last Decade

Yingleong Chan

20 papers receiving 1.0k citations

Hit Papers

Biological interpretation of genome-wide association stud... 2015 2026 2018 2022 2015 100 200 300

Peers

Yingleong Chan
Comparison fields: 5 of 116
  • Molecular Biology 686
  • Genetics 429
  • Cancer Research 75
  • Cardiology and Cardiovascular Medicine 62
  • Physiology 55
Replace Annalisa Buniello with:
Annalisa Buniello United Kingdom
Eija H. Seppälä Finland
Bahareh Rabbani Iran
Nejat Mahdieh Iran
Marina Ciullo Italy
Muhammad Rafiq Pakistan
Kaanan P. Shah United States
Vimla S. Aggarwal United States
Davut Pehli̇van United States
Alvaro Barbeira United States
Annalisa Buniello United Kingdom View profile →
Citations per field, relative to Yingleong Chan
Yingleong Chan · 1×
Citations per year, relative to Yingleong Chan
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Countries citing papers authored by Yingleong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yingleong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingleong Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yingleong Chan. A scholar is included among the top collaborators of Yingleong 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 Yingleong Chan. Yingleong 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
# Work Indexed citations
1 1
2 0
3 2
4 1
5 1
6 2
7 14
8 7
9 70
10 323
11 4
12
Biological interpretation of genome-wide association studies using predicted gene functions breakdown →
359
13 46
14 25
15 30
16 54
17 19
18 41
19 19
20 20

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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