Chih‐Tsueng He

647 citations
28 papers · 440 indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Metabolism, Diabetes, and Cancer (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chih‐Tsueng He

26 papers receiving 426 citations

Peers

Chih‐Tsueng He
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 195
  • Epidemiology 120
  • Molecular Biology 110
  • Physiology 105
  • Cardiology and Cardiovascular Medicine 58
Replace D. M. Rocha with:
D. M. Rocha Brazil
Silvia Iannello Italy
Xingbo Cheng China
Kazuhiko Matsuzawa Japan
Katarzyna Musialik Poland
Akinori Hayashi Japan
Eugène H. J. M. Jansen Netherlands
Özen Öz Gül Türkiye
Hannes Manell Sweden
Chih‐Tsueng He relative to D. M. Rocha Brazil D. M. Rocha's profile →
Citations per field
00.5×3.8×
D. M. Rocha · 1×
Citations per year

Countries citing papers authored by Chih‐Tsueng He

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Tsueng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Tsueng He

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Tsueng He. A scholar is included among the top collaborators of Chih‐Tsueng He 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 Chih‐Tsueng He. Chih‐Tsueng He 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 0
2 0
3 23
4 12
5 12
6 5
7 13
8 14
9 19
10 5
11 11
12 19
13 12
14 4
15 12
16 32
17 29
18 15
19 36
20 54

About Chih‐Tsueng He

Chih‐Tsueng He is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 28 papers that have together received 440 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Clinical Biochemistry (41 citations) and Physiology (105 citations). Chih‐Tsueng He has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Dee Pei, Yi‐Jen Hung, Chang‐Hsun Hsieh, Fone‐Ching Hsiao, Shi‐Wen Kuo, Wayne Huey‐Herng Sheu, Lee‐Ming Chuang, Thomas Quertermous, Wei‐Cheng Lian and Chien-Hsing Lee. Their work appears in journals such as Scientific Reports, Diabetologia and Medicine.

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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