Chia-Jung Lin

556 citations
20 papers · 420 indexed · h-index 9
Topics
Environmental Toxicology and Ecotoxicology (4 papers)Stroke Rehabilitation and Recovery (3 papers)Environmental Education and Sustainability (3 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chia-Jung Lin

20 papers receiving 410 citations

Peers

Chia-Jung Lin
Comparison fields: 5 of 93
  • Biomedical Engineering 221
  • Radiology, Nuclear Medicine and Imaging 106
  • Molecular Biology 56
  • Materials Chemistry 46
  • Electrical and Electronic Engineering 41
Replace Sivabal Sivaloganathan with:
Sivabal Sivaloganathan Canada
Andreas Frölich Germany
Philippe Pouletaut France
Mina Choi United States
Makiko Miyamoto Japan
Eric J. Wilsterman United States
Derek W. DelMonte United States
Shawna M Jackman United States
Wenchao Wang China
D.S. Lee South Korea
Chia-Jung Lin relative to Sivabal Sivaloganathan Canada Sivabal Sivaloganathan's profile →
Citations per field
00.5×5.1×
Sivabal Sivaloganathan · 1×
Citations per year

Countries citing papers authored by Chia-Jung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Jung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Jung Lin. 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 Chia-Jung Lin. The network helps show where Chia-Jung Lin may publish in the future.

Co-authorship network of co-authors of Chia-Jung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Jung Lin. A scholar is included among the top collaborators of Chia-Jung Lin 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 Chia-Jung Lin. Chia-Jung Lin 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 2
2 11
3 2
4 4
5 141
6 2
7 65
8 2
9 2
10 1
11 49
12 37
13 40
14 6
15 6
16 12
17 13
18 17
19 6
20 2

About Chia-Jung Lin

Chia-Jung Lin is a scholar working on Rehabilitation, Pollution and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (4 papers), Stroke Rehabilitation and Recovery (3 papers) and Environmental Education and Sustainability (3 papers). The work is most often cited by research in Biomedical Engineering (221 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Genetics (30 citations). Chia-Jung Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo‐Chen Wei, Wen‐Yen Chai, Chiung-Yin Huang, Hao-Li Liu, Ko‐Ting Chen, John S. Kuo, Ya-Jui Lin, Pin‐Yuan Chen, Hong‐Chieh Tsai and Chung‐Min Liao. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution and Nanoscale.

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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