Hua‐Chen Chan

658 total citations
30 papers, 547 citations indexed

About

Hua‐Chen Chan is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Hua‐Chen Chan has authored 30 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 10 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Hua‐Chen Chan's work include Atherosclerosis and Cardiovascular Diseases (16 papers), Lipoproteins and Cardiovascular Health (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Hua‐Chen Chan is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (16 papers), Lipoproteins and Cardiovascular Health (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Hua‐Chen Chan collaborates with scholars based in Taiwan, United States and Japan. Hua‐Chen Chan's co-authors include Chu‐Huang Chen, Liang‐Yin Ke, An‐Sheng Lee, Chih‐Sheng Chu, Kuan‐Cheng Chang, Tatsuya Sawamura, Jonathan Lu, Jing‐Fang Hsu, Jeng‐Hsien Yen and Ming‐Yi Shen and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Hua‐Chen Chan

29 papers receiving 546 citations

Peers

Hua‐Chen Chan
Comparison fields: 5 of 70
  • Immunology 251
  • Surgery 179
  • Molecular Biology 154
  • Cardiology and Cardiovascular Medicine 108
  • Endocrinology, Diabetes and Metabolism 94
Replace Ying Wong with:
Ying Wong Hong Kong
T. Solakivi Finland
Tanu Goyal United States
Jonathan Lu United States
Shifa Jebari‐Benslaiman Spain
Tanya T. W. Chu Hong Kong
Christine Koulis Australia
K. Rühling Germany
Hilde Bernar Belgium
Ying Wong Hong Kong View profile →
Citations per field, relative to Hua‐Chen Chan
Hua‐Chen Chan · 1×
Citations per year, relative to Hua‐Chen Chan
Hua‐Chen Chan · 1×

Countries citing papers authored by Hua‐Chen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Hua‐Chen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua‐Chen Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Chen Chan. A scholar is included among the top collaborators of Hua‐Chen 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 Hua‐Chen Chan. Hua‐Chen 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 0
2 13
3 2
4 5
5 20
6 11
7 6
8 12
9 9
10 19
11 5
12 6
13 14
14 70
15 17
16 1
17 1
18 28
19 33
20 10

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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