Trees‐Juen Chuang

1.8k citations
45 papers · 1.2k indexed · h-index 16
Topics
RNA Research and Splicing (20 papers)Genomics and Phylogenetic Studies (12 papers)RNA and protein synthesis mechanisms (12 papers)

In The Last Decade

Trees‐Juen Chuang

45 papers receiving 1.1k citations

Peers

Trees‐Juen Chuang
Comparison fields: 5 of 75
  • Molecular Biology 1.1k
  • Cancer Research 600
  • Genetics 90
  • Plant Science 84
  • Computer Vision and Pattern Recognition 35
Replace Anton J. M. Larsson with:
Anton J. M. Larsson Sweden
Avazeh T. Ghanbarian United Kingdom
Sarah Djebali France
Byoung-Tak Zhang South Korea
Xiaoyi Cao United States
A. Pascual-Montano Spain
Chien‐Yueh Lee Taiwan
Т В Виноградова Russia
Gaurav Kumar Pandey India
Alex Tuck United Kingdom
Trees‐Juen Chuang relative to Anton J. M. Larsson Sweden Anton J. M. Larsson's profile →
Citations per field
00.5×10×16.2×
Anton J. M. Larsson · 1×
Citations per year

Countries citing papers authored by Trees‐Juen Chuang

Since Specialization
Citations

This map shows the geographic impact of Trees‐Juen Chuang'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 Trees‐Juen Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trees‐Juen Chuang more than expected).

Fields of papers citing papers by Trees‐Juen Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trees‐Juen Chuang. 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 Trees‐Juen Chuang. The network helps show where Trees‐Juen Chuang may publish in the future.

Co-authorship network of co-authors of Trees‐Juen Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Trees‐Juen Chuang. A scholar is included among the top collaborators of Trees‐Juen Chuang 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 Trees‐Juen Chuang. Trees‐Juen Chuang 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 1
2 9
3 14
4 6
5 51
6 4
7 5
8 96
9 52
10 12
11 23
12 28
13 11
14 6
15 10
16 48
17 48
18 3
19 11
20 7

About Trees‐Juen Chuang

Trees‐Juen Chuang is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Genomics and Phylogenetic Studies (12 papers) and RNA and protein synthesis mechanisms (12 papers). The work is most often cited by research in Cancer Research (600 citations), Molecular Biology (1.1k citations) and Genetics (90 citations). Trees‐Juen Chuang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Feng‐Chi Chen, Chia-Ying Chen, Tai-Wei Chiang, Li-Yuan Hung, Chan-Shuo Wu, Wen‐Hsiung Li, Chunying Yu, Te‐Lun Mai, Wen‐Hsiung Li and Hung‐Chih Kuo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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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