Yu‐Hua Tseng

23.1k citations
139 papers · 15.1k indexed · 5 hit papers · h-index 50
Topics
Adipose Tissue and Metabolism (98 papers)Adipokines, Inflammation, and Metabolic Diseases (50 papers)Exercise and Physiological Responses (20 papers)

In The Last Decade

Yu‐Hua Tseng

135 papers receiving 14.9k citations

Hit Papers

Identification and Importance of Brown Adipose Tissue in ...20072026201320192009200720122008201410002.0k3.0k

Peers

Yu‐Hua Tseng
Comparison fields: 5 of 154
  • Physiology 10.5k
  • Epidemiology 5.6k
  • Molecular Biology 4.7k
  • Cardiology and Cardiovascular Medicine 2.6k
  • Rehabilitation 1.8k
Replace Aaron M. Cypess with:
Aaron M. Cypess United States
Paul Cohen United States
Pontus Boström Sweden
Hua Tu China
Gert Schaart Netherlands
Michael F. Hirshman United States
Jason K. Kim United States
Zhidan Wu United States
Deborah M. Muoio United States
Yu‐Hua Tseng relative to Aaron M. Cypess United States Aaron M. Cypess's profile →
Citations per field
00.5×1.5×2.1×
Aaron M. Cypess · 1×
Citations per year

Countries citing papers authored by Yu‐Hua Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Hua Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Hua Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hua Tseng. A scholar is included among the top collaborators of Yu‐Hua Tseng 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‐Hua Tseng. Yu‐Hua Tseng 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 7
2 0
3 2
4 0
5 23
6 2
7 4
8 10
9 17
10 1
11 17
12 103
13 45
14 21
15 96
16 19
17 20
18 246
19 303
20
Regulation of growth and tumorigenicity of breast cancer cells by the low molecular weight GTPase Rad and nm23.
76

About Yu‐Hua Tseng

Yu‐Hua Tseng is a scholar working on Physiology, Rehabilitation and Biochemistry, having authored 139 papers that have together received 15.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (98 papers), Adipokines, Inflammation, and Metabolic Diseases (50 papers) and Exercise and Physiological Responses (20 papers). The work is most often cited by research in Physiology (10.5k citations), Rehabilitation (1.8k citations) and Biochemistry (1.2k citations). Yu‐Hua Tseng has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include C. Ronald Kahn, Aaron M. Cypess, Stéphane Gesta, Kristy L. Townsend, Tim J. Schulz, Edwin L. Palmer, Alessandro Doria, Gerald M. Kolodny, Gethin Williams and Allison B. Goldfine. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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