Hung‐Ta Chen

1.5k 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

51 papers receiving 1.1k citations

Peers

Hung‐Ta Chen
Comparison fields: 5 of 110
  • Structural Biology 22
  • Molecular Biology 768
  • Genetics 125
  • Water Science and Technology 60
  • Ophthalmology 29
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Citations per field
00.5×10×15×20×23×
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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 202029
11 201128
12 201226
13 201326
14 200823
15 201120
16 201618
17 201616
18 201716
19 201615
20 201614

About Hung‐Ta Chen

Hung‐Ta Chen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Water Science and Technology, Industrial and Manufacturing Engineering and Cell Biology, 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), DNA Repair Mechanisms (3 papers), graph theory and CDMA systems (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Structural Biology (22 citations), Molecular Biology (768 citations), Genetics (125 citations), Water Science and Technology (60 citations) and Ophthalmology (29 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, Pascale Legault, James G. Omichinski, Yao-Hui Huang, Yu-Jen Huang and John Glushka. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Nucleic Acids Research, Journal of Hazardous Materials and Journal of Environmental Science and Health Part A.

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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