Hung‐Ta Chen

1.4k citations
51 papers · 1.1k · h-index 17

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • Fungal and yeast genetics research
    • CRISPR and Genetic Engineering

Papers in

Hung‐Ta Chen

50 papers receiving 1.1k citations

Peers

Hung‐Ta Chen
Comparison fields: 5 of 119
  • Structural Biology 22
  • Molecular Biology 781
  • Ophthalmology 43
  • Genetics 125
  • Water Science and Technology 60
Replace Mi-Young Lee with:
Mi-Young Lee South Korea
Gen Li China
Ruifeng Wang China
Takehisa Yamada Japan
Guanglin Chen United States
Shreekant Bharti India
Wei Dai China
Chunlei Li China
Sufang Wang China
Si Wang China
Hung‐Ta Chen relative to Mi-Young Lee South Korea Mi-Young Lee's profile →
Citations per field
00.5×7.2×
Mi-Young Lee · 1×
Citations per year

Countries citing papers authored by Hung‐Ta Chen

Since Specialization
Citations

This map shows the geographic impact of Hung‐Ta 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‐Ta 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‐Ta Chen more than expected).

Fields of papers citing papers by Hung‐Ta Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 2004111
3 2003102
4 200978
5 201161
6 200056
7 200450
8 201047
9 201239
10 202028
11 201128
12 201326
13 201226
14 200823
15 201120
16 201618
17 201616
18 201615
19 201614
20 201714

About Hung‐Ta Chen

Hung‐Ta Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Ophthalmology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (9 papers), Ocular Surface and Contact Lens (4 papers), Corneal surgery and disorders (4 papers), Glaucoma and retinal disorders (3 papers) and graph theory and CDMA systems (3 papers). The work is most often cited by research in Structural Biology (22 citations), Molecular Biology (781 citations), Ophthalmology (43 citations), Genetics (125 citations) and Water Science and Technology (60 citations). Hung‐Ta Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Steven Hahn, Linda Warfield, Colin Chih‐Chien Wu, Yu‐Chun Lin, Robert A. Scott, James G. Omichinski, Pascale Legault, Yao-Hui Huang, Yu-Jen Huang and John Glushka. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Hazardous Materials, Nucleic Acids Research and Separation Science and Technology.

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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