Yu‐Hua Tseng

23.1k total citations · 5 hit papers
139 papers, 15.1k citations indexed

About

Yu‐Hua Tseng is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yu‐Hua Tseng has authored 139 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Physiology, 54 papers in Molecular Biology and 51 papers in Epidemiology. Recurrent topics in Yu‐Hua Tseng's work include Adipose Tissue and Metabolism (98 papers), Adipokines, Inflammation, and Metabolic Diseases (50 papers) and Exercise and Physiological Responses (20 papers). Yu‐Hua Tseng is often cited by papers focused on Adipose Tissue and Metabolism (98 papers), Adipokines, Inflammation, and Metabolic Diseases (50 papers) and Exercise and Physiological Responses (20 papers). Yu‐Hua Tseng collaborates with scholars based in United States, Germany and Taiwan. Yu‐Hua Tseng's 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 and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Yu‐Hua Tseng

135 papers receiving 14.9k citations

Hit Papers

Identification and Importance of Brown Adipose Tissue in ... 2007 2026 2013 2019 2009 2007 2012 2008 2014 1000 2.0k 3.0k

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 Paul Cohen with:
Paul Cohen United States
Aaron M. Cypess United States
Pontus Boström Sweden
Hua Tu China
Zhidan Wu United States
Gert Schaart Netherlands
Nora Klöting Germany
Deborah M. Muoio United States
Jürgen Eckel Germany
Paul Cohen United States View profile →
Citations per field, relative to Yu‐Hua Tseng
Yu‐Hua Tseng · 1×
Citations per year, relative to Yu‐Hua Tseng
Yu‐Hua Tseng · 1×

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
# Work Indexed 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

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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