Yu‐Chih Liang

7.6k total citations
136 papers, 6.4k citations indexed

About

Yu‐Chih Liang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu‐Chih Liang has authored 136 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 31 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Yu‐Chih Liang's work include Cancer-related Molecular Pathways (20 papers), NF-κB Signaling Pathways (15 papers) and Tea Polyphenols and Effects (12 papers). Yu‐Chih Liang is often cited by papers focused on Cancer-related Molecular Pathways (20 papers), NF-κB Signaling Pathways (15 papers) and Tea Polyphenols and Effects (12 papers). Yu‐Chih Liang collaborates with scholars based in Taiwan, United States and Pakistan. Yu‐Chih Liang's co-authors include Shoei‐Yn Lin‐Shiau, Jen-Kun Lin, Chieh-Fu Chen, Yu‐Li Lin, Jen‐Kun Lin, Chi‐Tang Ho, Shu‐Huei Tsai, I-Ming Juan, Jen‐Kun Lin and Bor‐Luen Chiang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Yu‐Chih Liang

133 papers receiving 6.2k citations

Peers

Yu‐Chih Liang
Comparison fields: 5 of 141
  • Molecular Biology 2.8k
  • Pathology and Forensic Medicine 1.3k
  • Biochemistry 1.1k
  • Pharmacology 879
  • Plant Science 812
Replace Imtiaz A. Siddiqui with:
Imtiaz A. Siddiqui United States
Santosh K. Katiyar United States
Mohammad Saleem United States
Naghma Khan United States
Joydeb Kumar Kundu South Korea
Yi Chen China
Jen‐Kun Lin Taiwan
Jae‐Young Um South Korea
Katrin Sak India
Vaqar M. Adhami United States
Imtiaz A. Siddiqui United States View profile →
Citations per field, relative to Yu‐Chih Liang
Yu‐Chih Liang · 1×
Citations per year, relative to Yu‐Chih Liang
Yu‐Chih Liang · 1×

Countries citing papers authored by Yu‐Chih Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Chih Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Chih Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chih Liang. A scholar is included among the top collaborators of Yu‐Chih 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 Yu‐Chih Liang. Yu‐Chih 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 0
2 3
3 17
4 59
5 6
6 18
7 25
8 32
9 17
10 106
11 11
12 43
13 82
14 45
15 36
16 67
17 22
18 62
19 191
20 478

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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