Ying-Hua Chen

1.2k citations
24 papers · 894 indexed · 1 hit paper · h-index 11
Topics
HIV Research and Treatment (17 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Immune Cell Function and Interaction (8 papers)
Partner nations
ChinaAustriaGermany

In The Last Decade

Ying-Hua Chen

24 papers receiving 875 citations

Hit Papers

Structure of MERS-CoV spike receptor-binding domain compl...20132026201720212013100200300400500

Peers

Ying-Hua Chen
Comparison fields: 5 of 78
  • Infectious Diseases 554
  • Animal Science and Zoology 271
  • Agronomy and Crop Science 195
  • Molecular Biology 179
  • Cardiology and Cardiovascular Medicine 119
Replace Shigeyuki Itamura with:
Shigeyuki Itamura Japan
Yuchun Nie China
Sandra Diederich Germany
Yoshihiro Kawaoka United States
Christel Schwegmann‐Weßels Germany
Matthew Angel United States
Philippe Noriel Q. Pascua South Korea
K. Nakajima Japan
Arno L. W. van Vliet Netherlands
Hongbo Guo China
Ying-Hua Chen relative to Shigeyuki Itamura Japan Shigeyuki Itamura's profile →
Citations per field
00.5×1.5×2.2×
Shigeyuki Itamura · 1×
Citations per year

Countries citing papers authored by Ying-Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Hua Chen. A scholar is included among the top collaborators of Ying-Hua 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 Ying-Hua Chen. Ying-Hua 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
2 119
3 7
4 4
5 7
6 2
7 39
8 11
9 26
10 40
11 16
12 4
13 2
14 2
15 16
16 3
17 5
18 7
19 11
20 15

About Ying-Hua Chen

Ying-Hua Chen is a scholar working on Virology, Immunology and Infectious Diseases, having authored 24 papers that have together received 894 indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Infectious Diseases (554 citations), Animal Science and Zoology (271 citations) and Virology (103 citations). Ying-Hua Chen has collaborated with scholars based in China, Austria and Germany. Frequent co-authors include Xiaonan Dong, Xuanling Shi, Dongxing Guo, Lili Fu, Linqi Zhang, Xinquan Wang, Nianshuang Wang, Xi Liu, Liwei Jiang and Senyan Zhang. Their work appears in journals such as Vaccine, Cell Research and Peptides.

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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