Hsin–Wei Chen

6.1k citations
133 papers · 5.0k · h-index 39

Impact in

Papers in

    • Immunotherapy and Immune Responses 35
    • Immune Cell Function and Interaction 14
    • Viral Infections and Vectors 19
    • SARS-CoV-2 and COVID-19 Research 14

Hsin–Wei Chen

130 papers receiving 4.9k citations

Peers

Hsin–Wei Chen
Comparison fields: 5 of 139
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Polymers and Plastics 838
  • Immunology 728
  • Infectious Diseases 626
  • Materials Chemistry 1.5k
Replace Jing Huang with:
Jing Huang China
Yujie Ma China
Jae‐Wook Lee South Korea
Rajendra K. Singh South Korea
Hiroyuki Iwata Japan
Shihua Li China
Wenyi Gu Australia
Gregory N. Tew United States
Aliasger K. Salem United States
Noriko Saito Japan
Hsin–Wei Chen relative to Jing Huang China Jing Huang's profile →
Citations per field
00.5×3.6×
Jing Huang · 1×
Citations per year

Countries citing papers authored by Hsin–Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin–Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin–Wei 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 Hsin–Wei Chen. The network helps show where Hsin–Wei Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsin–Wei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsin–Wei Chen Line = papers co-authored together Hsin–Wei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012323
2 2014279
3 2005226
4 2018197
5 2015152
6 2011142
7 2011127
8 2010126
9 2015125
10 2012117
11 200797
12 201394
13 201092
14 200889
15 201688
16 199987
17 201685
18 201082
19 201381
20 201380

About Hsin–Wei Chen

Hsin–Wei Chen is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Materials Chemistry, having authored 133 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (35 papers), Mosquito-borne diseases and control (24 papers), TiO2 Photocatalysis and Solar Cells (19 papers), Viral Infections and Vectors (19 papers), Advanced Photocatalysis Techniques (16 papers), Immune Cell Function and Interaction (14 papers), Quantum Dots Synthesis And Properties (14 papers) and SARS-CoV-2 and COVID-19 Research (14 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.1k citations), Polymers and Plastics (838 citations), Immunology (728 citations), Infectious Diseases (626 citations) and Materials Chemistry (1.5k citations). Hsin–Wei Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kuo–Chuan Ho, Tsutomu Miyasaka, Chung‐Wei Kung, M. Ikegami, R. Vittal, Shih‐Jen Liu, Chia‐Yu Lin, Nobuya Sakai, Pele Chong and Chih‐Hsiang Leng. Their work appears in journals such as Journal of Power Sources, Journal of Materials Chemistry, PLoS ONE, Frontiers in Immunology and The Journal of Immunology.

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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