Hung-Kai Chen

2.2k citations
32 papers · 1.8k · h-index 19

Impact in

Papers in

Hung-Kai Chen

30 papers receiving 1.7k citations

Peers

Hung-Kai Chen
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 480
  • Physiology 289
  • Aging 16
  • Immunology 164
  • Molecular Biology 451
Replace Andreas Massouras with:
Andreas Massouras Switzerland
Ermelinda Porpiglia United States
Reinhard Bauer Germany
Vered Lavie Israel
José M. Brito Brazil
Naili Liu United States
Galit Shohat-Ophir Israel
Sheela Crasta United States
Natalie A. Twine Australia
Marie‐Madeleine Portier France
Hung-Kai Chen relative to Andreas Massouras Switzerland Andreas Massouras's profile →
Citations per field
00.5×2×4×5.8×
Andreas Massouras · 1×
Citations per year

Countries citing papers authored by Hung-Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hung-Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hung-Kai 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 Hung-Kai Chen Line = papers co-authored together Hung-Kai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003353
2 2005171
3 2010166
4 2006165
5 2011123
6 2018118
7 199984
8 201683
9 199571
10 200765
11 201653
12 201546
13 201436
14 201727
15 200326
16 200824
17 201220
18 202220
19 202520
20 202319

About Hung-Kai Chen

Hung-Kai Chen is a scholar working on Ecology, Cellular and Molecular Neuroscience, Hardware and Architecture, Immunology and Physiology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (8 papers), Genetic Neurodegenerative Diseases (4 papers), Nuclear Structure and Function (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Alzheimer's disease research and treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), VLSI and Analog Circuit Testing (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (480 citations), Physiology (289 citations), Aging (16 citations), Immunology (164 citations) and Molecular Biology (451 citations). Hung-Kai Chen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Huda Yahya Zoghbi, Juan Botas, Yung Carmen Lam, Harry T. Orr, Ning-Hsing Yeh, Chi-Yun Pai, Pedro Fernández-Fúnez, Michael D. Kaytor, Alastair Aitken and Efthimios M. C. Skoulakis. Their work appears in journals such as Journal of Biological Chemistry, Cell, PLoS ONE, PeerJ and Applied Sciences.

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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