Chu‐Huang Chen

4.6k citations
111 papers · 3.4k indexed · 1 hit paper · h-index 32
Topics
Atherosclerosis and Cardiovascular Diseases (40 papers)Lipoproteins and Cardiovascular Health (23 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Chu‐Huang Chen

108 papers receiving 3.4k citations

Hit Papers

An Updated Review of Lysophosphatidylcholine Metabolism i...20192026202120232019100200300400500

Peers

Chu‐Huang Chen
Comparison fields: 5 of 131
  • Molecular Biology 1.3k
  • Immunology 1.0k
  • Surgery 861
  • Cardiology and Cardiovascular Medicine 491
  • Epidemiology 441
Replace Veronika A. Myasoedova with:
Veronika A. Myasoedova Italy
Alexandra А. Melnichenko Russia
Senthil Kumar Venugopal India
Lillemor Mattsson Hultén Sweden
Cristina Banfi Italy
Debra L. Rateri United States
Ewa Ninio France
Eva Hurt‐Camejo Sweden
Gopal K. Marathe United States
Valérie Deckert France
Chu‐Huang Chen relative to Veronika A. Myasoedova Italy Veronika A. Myasoedova's profile →
Citations per field
00.5×4.6×
Veronika A. Myasoedova · 1×
Citations per year

Countries citing papers authored by Chu‐Huang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chu‐Huang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chu‐Huang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chu‐Huang Chen. A scholar is included among the top collaborators of Chu‐Huang Chen 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 Chu‐Huang Chen. Chu‐Huang Chen 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 1
3 7
4 5
5 4
6 12
7 31
8 8
9 19
10 22
11 14
12 9
13 70
14 1
15 1
16 21
17 1
18 11
19 41
20 4

About Chu‐Huang Chen

Chu‐Huang Chen is a scholar working on Immunology, Aging and Biochemistry, having authored 111 papers that have together received 3.4k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (40 papers), Lipoproteins and Cardiovascular Health (23 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). The work is most often cited by research in Biochemistry (312 citations), Immunology (1.0k citations) and Cancer Research (392 citations). Chu‐Huang Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Liang‐Yin Ke, Gopal K. Marathe, Jonathan Lu, Shi‐Hui Law, Farzana Parveen, Tatsuya Sawamura, Philip D. Henry, Po‐Yuan Chang, Chih‐Sheng Chu and Chao-Yuh Yang. Their work appears in journals such as Nucleic Acids Research, Circulation and Blood.

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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