Kun-Yen Huang

1.5k citations
29 papers · 1.2k indexed · h-index 18
Topics
Immune Cell Function and Interaction (7 papers)Respiratory viral infections research (4 papers)Influenza Virus Research Studies (4 papers)

In The Last Decade

Kun-Yen Huang

29 papers receiving 999 citations

Peers

Kun-Yen Huang
Comparison fields: 5 of 119
  • Immunology 413
  • Epidemiology 290
  • Infectious Diseases 262
  • Public Health, Environmental and Occupational Health 141
  • Molecular Biology 138
Replace Yiyue Ge with:
Yiyue Ge China
Hiroshi Watanabe Japan
Andrej Spec United States
Benito Regueiro Spain
Stefan Zimmerli Switzerland
M Jegathesan Malaysia
Roberto Alonso Spain
Helmut Peters Germany
German A. Shipulin Russia
Hugh Clark United States
Kun-Yen Huang relative to Yiyue Ge China Yiyue Ge's profile →
Citations per field
00.5×1.5×1.8×
Yiyue Ge · 1×
Citations per year

Countries citing papers authored by Kun-Yen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Yen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Yen Huang. 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 Kun-Yen Huang. The network helps show where Kun-Yen Huang may publish in the future.

Co-authorship network of co-authors of Kun-Yen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun-Yen Huang. A scholar is included among the top collaborators of Kun-Yen Huang 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 Kun-Yen Huang. Kun-Yen Huang 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 7
2 70
3 30
4 92
5 57
6 68
7 54
8
Mouse skin damage caused by a recombinant extracellular metalloprotease from Vibrio vulnificus and by V. vulnificus infection.
12
9 13
10 44
11 62
12 4
13 16
14 19
15 15
16 11
17 7
18 55
19 59
20 51

About Kun-Yen Huang

Kun-Yen Huang is a scholar working on Immunology, Endocrinology and General Dentistry, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Respiratory viral infections research (4 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Endocrinology (108 citations), General Dentistry (37 citations) and Immunology (413 citations). Kun-Yen Huang has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Robert M. Donahoe, Francis B. Gordon, Yue Leon Guo, Judith Shu‐Chu Shiao, Harry R. Dressler, Warren W. Schultz, Wen‐Chien Ko, Mary‐Louise McLaws, William F. Myers and J Y Djeu. Their work appears in journals such as Nature, Science and The Journal of Experimental Medicine.

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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