Huan-Yuan Chen

1.6k citations
24 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Galectins and Cancer Biology (14 papers)Signaling Pathways in Disease (6 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

Huan-Yuan Chen

24 papers receiving 1.3k citations

Hit Papers

IgE, Mast Cells, and Eosinophils in Atopic Dermatitis20112026201620212011100200300

Peers

Huan-Yuan Chen
Comparison fields: 5 of 107
  • Immunology 689
  • Molecular Biology 420
  • Dermatology 325
  • Immunology and Allergy 227
  • Physiology 139
Replace Takaaki Hiragun with:
Takaaki Hiragun Japan
Shoso Yamamoto Japan
Angelika B. Reske‐Kunz Germany
A. Takashima United States
Jens Schröder Germany
Richard Huijbens Netherlands
Susan R. Opalenik United States
Zhiqiang Song China
Matthew L. Jones United Kingdom
Huan-Yuan Chen relative to Takaaki Hiragun Japan Takaaki Hiragun's profile →
Citations per field
00.5×1.5×1.9×
Takaaki Hiragun · 1×
Citations per year

Countries citing papers authored by Huan-Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huan-Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huan-Yuan 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 Huan-Yuan Chen. The network helps show where Huan-Yuan Chen may publish in the future.

Co-authorship network of co-authors of Huan-Yuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huan-Yuan Chen. A scholar is included among the top collaborators of Huan-Yuan 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 Huan-Yuan Chen. Huan-Yuan 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 2
2 30
3 6
4 10
5 7
6 26
7 9
8 26
9 61
10 5
11 50
12 47
13 95
14 59
15 15
16
IgE, Mast Cells, and Eosinophils in Atopic Dermatitisbreakdown →
367
17 88
18 158
19 71
20 147

About Huan-Yuan Chen

Huan-Yuan Chen is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (14 papers), Signaling Pathways in Disease (6 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology and Allergy (227 citations), Dermatology (325 citations) and Immunology (689 citations). Huan-Yuan Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Fu‐Tong Liu, Heidi Goodarzi, Daniel K. Hsu, Lan Yu, Gang-yu Liu, Valentin Lulevich, Ri‐Yao Yang, Jun Saegusa, Alexander I. Chernyavsky and Sergei A. Grando. Their work appears in journals such as Journal of Biological Chemistry, Blood 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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