Chao‐Yuh Yang

24 total papers · 416 total citations
15 papers, 340 citations indexed

About

Chao‐Yuh Yang is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Chao‐Yuh Yang has authored 15 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Immunology. Recurrent topics in Chao‐Yuh Yang's work include Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Analytical Chemistry and Chromatography (3 papers). Chao‐Yuh Yang is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Analytical Chemistry and Chromatography (3 papers). Chao‐Yuh Yang collaborates with scholars based in United States and Germany. Chao‐Yuh Yang's co-authors include Antonio M. Gotto, Reinhard Hensel, Ulrich Mayr, Tae W. Kim, Salih J. Wakil, Henry J. Pownall, Ziwei Gu, Chi‐Cheng Luo, Lawrence Chan and Lucy Byrnes and has published in prestigious journals such as Biochemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Chao‐Yuh Yang

15 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao‐Yuh Yang 203 64 47 44 39 15 340
Gary S. Gerstenecker 206 1.0× 79 1.2× 50 1.1× 70 1.6× 23 0.6× 11 375
Ju‐Yi Hsieh 282 1.4× 32 0.5× 24 0.5× 17 0.4× 60 1.5× 27 380
F. Soetewey 198 1.0× 60 0.9× 44 0.9× 49 1.1× 24 0.6× 17 346
Sarala Kodukula 248 1.2× 48 0.8× 12 0.3× 22 0.5× 18 0.5× 10 389
Malathy Singh 195 1.0× 57 0.9× 7 0.1× 20 0.5× 72 1.8× 16 336
Morton Schmukler 209 1.0× 28 0.4× 9 0.2× 17 0.4× 12 0.3× 21 378
Kazuyoshi Tomita 156 0.8× 91 1.4× 21 0.4× 25 0.6× 8 0.2× 19 374
Roopali Saxena 252 1.2× 59 0.9× 15 0.3× 14 0.3× 39 1.0× 14 378
Huaxiang Tong 295 1.5× 43 0.7× 12 0.3× 6 0.1× 48 1.2× 16 384
Uri Piran 226 1.1× 120 1.9× 20 0.4× 54 1.2× 33 0.8× 12 384

Countries citing papers authored by Chao‐Yuh Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Yuh Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Yuh Yang. 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 Chao‐Yuh Yang. The network helps show where Chao‐Yuh Yang may publish in the future.

Co-authorship network of co-authors of Chao‐Yuh Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Yuh Yang. A scholar is included among the top collaborators of Chao‐Yuh Yang 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 Chao‐Yuh Yang. Chao‐Yuh Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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