Chan‐Jung Liang

1.0k total citations
30 papers, 856 citations indexed

About

Chan‐Jung Liang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chan‐Jung Liang has authored 30 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Chan‐Jung Liang's work include Eicosanoids and Hypertension Pharmacology (4 papers), Acute Kidney Injury Research (4 papers) and melanin and skin pigmentation (4 papers). Chan‐Jung Liang is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (4 papers), Acute Kidney Injury Research (4 papers) and melanin and skin pigmentation (4 papers). Chan‐Jung Liang collaborates with scholars based in Taiwan, United States and South Sudan. Chan‐Jung Liang's co-authors include Chiang‐Wen Lee, Feng‐Lin Yen, Yuh‐Lien Chen, Shu‐Huei Wang, Yao‐Chang Chiang, Ming-Horng Tsai, Chen‐Wei Liu, Jaw‐Shiun Tsai, Horng‐Huey Ko and Moo-Chin Wang and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Chan‐Jung Liang

30 papers receiving 843 citations

Peers

Chan‐Jung Liang
Comparison fields: 5 of 99
  • Molecular Biology 299
  • Cell Biology 111
  • Dermatology 107
  • Rehabilitation 101
  • Cancer Research 95
Replace Kathleen L. Tober with:
Kathleen L. Tober United States
Ilandarage Menu Neelaka Molagoda South Korea
Sun Ah Ham South Korea
Jin Kyung Seok South Korea
In‐Sook An South Korea
Gangadharan B. Sajithlal India
Medora M. Hardy United States
Eun Sil Kang South Korea
Hwa Jun South Korea
Kathleen L. Tober United States View profile →
Citations per field, relative to Chan‐Jung Liang
Chan‐Jung Liang · 1×
Citations per year, relative to Chan‐Jung Liang
Chan‐Jung Liang · 1×

Countries citing papers authored by Chan‐Jung Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Jung Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan‐Jung Liang. 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 Chan‐Jung Liang. The network helps show where Chan‐Jung Liang may publish in the future.

Co-authorship network of co-authors of Chan‐Jung Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Jung Liang. A scholar is included among the top collaborators of Chan‐Jung Liang 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 Chan‐Jung Liang. Chan‐Jung Liang 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
# Work Indexed citations
1 6
2 40
3 14
4 3
5 107
6 16
7 68
8 6
9 51
10 14
11 25
12 63
13 8
14 38
15 22
16 32
17 42
18 29
19 10
20 28

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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