Liang-Yi Wu

663 citations
11 papers · 528 · h-index 9

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Metabolism, Diabetes, and Cancer 1
    • FOXO transcription factor regulation 1

Liang-Yi Wu

10 papers receiving 499 citations

Peers

Liang-Yi Wu
Comparison fields: 5 of 73
  • Biochemistry 171
  • Biological Psychiatry 39
  • Pathology and Forensic Medicine 261
  • Endocrinology, Diabetes and Metabolism 125
  • Complementary and alternative medicine 61
Replace Mariela Tarquinio with:
Mariela Tarquinio Italy
N.C. Varadacharyulu India
Michael Boschmann Germany
Yung-Pei Hsu Taiwan
Xu-Min Li China
Kuruvimalai Ekambaram Sabitha India
Sandra R. Teixeira United States
Sindhu K.C. Nepal
Kimberly A. Grove United States
Anuradha A. Shastri United States
Liang-Yi Wu relative to Mariela Tarquinio Italy Mariela Tarquinio's profile →
Citations per field
00.5×1.5×2.1×
Mariela Tarquinio · 1×
Citations per year

Countries citing papers authored by Liang-Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liang-Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang-Yi Wu. 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 Liang-Yi Wu. The network helps show where Liang-Yi Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Liang-Yi Wu, 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 Liang-Yi Wu Line = papers co-authored together Liang-Yi Wu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004197
2 2004167
3 201967
4 201024
5 201622
6 201214
7 201213
8 20139
9 20169
10 20136
11 20250

About Liang-Yi Wu

Liang-Yi Wu is a scholar working on Epidemiology, Molecular Biology, Physiology, Pathology and Forensic Medicine and Oncology, having authored 11 papers that have together received 528 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Tea Polyphenols and Effects (3 papers), Adipose Tissue and Metabolism (3 papers), Diet, Metabolism, and Disease (2 papers), Tryptophan and brain disorders (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Biochemistry (171 citations), Biological Psychiatry (39 citations), Pathology and Forensic Medicine (261 citations), Endocrinology, Diabetes and Metabolism (125 citations) and Complementary and alternative medicine (61 citations). Liang-Yi Wu has collaborated with scholars based in Taiwan and Germany. Frequent co-authors include Chi‐Chang Juan, Lucy Sun Hwang, Low‐Tone Ho, Yung-Pei Hsu, Shu‐Chen Hsieh, Hsin-Huei Chang, Yung-Hsi Kao, Yi‐Chun Liao, Chi-Wei Liu and Chen-Chung Liao. Their work appears in journals such as General and Comparative Endocrinology, Journal of Agricultural and Food Chemistry, Nutrients, International Journal of Medical Sciences and Journal of Food and Drug Analysis.

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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