Hung‐Tsung Wu

87 papers receiving 2.1k citations

Peers

Hung‐Tsung Wu
Comparison fields: 5 of 111
  • Biological Psychiatry 85
  • Endocrine and Autonomic Systems 142
  • Endocrinology, Diabetes and Metabolism 293
  • Behavioral Neuroscience 59
  • Electronic, Optical and Magnetic Materials 257
Replace Xiaoqian Chen with:
Xiaoqian Chen China
Adriana Souza Torsoni Brazil
Xiangdong Xu China
Leilei Mao China
Katsuji Oguchi Japan
James L. Ellis United States
Christian Duhem France
Shanshan Wang China
Hung‐Tsung Wu relative to Xiaoqian Chen China Xiaoqian Chen's profile →
Citations per field
00.5×9.5×
Xiaoqian Chen · 1×
Citations per year

Countries citing papers authored by Hung‐Tsung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Tsung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Tsung 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 Hung‐Tsung Wu. The network helps show where Hung‐Tsung Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20233
5 20238
6 202213
7 201928
8 201768
9 201514
10 201369
11 20118
12 20119
13 20115
14 20105
15 20104
16 200920
17 200941
18 200829
19 20079
20 199540

About Hung‐Tsung Wu

Hung‐Tsung Wu is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Biological Psychiatry and Molecular Biology, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (9 papers), Biochemical Analysis and Sensing Techniques (9 papers), Regulation of Appetite and Obesity (8 papers), Receptor Mechanisms and Signaling (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Endocrine and Autonomic Systems (142 citations), Endocrinology, Diabetes and Metabolism (293 citations), Behavioral Neuroscience (59 citations) and Electronic, Optical and Magnetic Materials (257 citations). Hung‐Tsung Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Juei‐Tang Cheng, Chih‐Jen Chang, Horng-Yih Ou, Yi‐Ching Yang, Hao‐Chang Hung, Jin‐Shang Wu, Kai‐Chun Cheng, Feng‐Hwa Lu, Yu-Chu Su and Chao‐Liang Wu. Their work appears in journals such as Hormone and Metabolic Research, The Journal of Clinical Endocrinology & Metabolism, Nutrients, Journal of Clinical Medicine and Scientific Reports.

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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