Pin Yue

2.0k citations
23 papers · 810 indexed · h-index 16

Impact in

Papers in

Pin Yue

22 papers receiving 799 citations

Peers

Pin Yue
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 328
  • Cardiology and Cardiovascular Medicine 291
  • Biochemistry 79
  • Epidemiology 275
  • Cancer Research 104
Replace B Paigen with:
B Paigen United States
Mitsuaki Ishihara Japan
Sabina Rustaeus Sweden
John A. Krawiec United States
D. Pastier France
Emmelie Cansby Sweden
Filomena Campagna Italy
Joseph C. Obunike United States
Catriona McNeil United Kingdom
A Sjöberg Sweden
Pin Yue relative to B Paigen United States B Paigen's profile →
Citations per field
00.5×6.6×
B Paigen · 1×
Citations per year

Countries citing papers authored by Pin Yue

Since Specialization
Citations

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

Fields of papers citing papers by Pin Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin Yue. 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 Pin Yue. The network helps show where Pin Yue may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20203
3 201268
4 20116
5 201095
6 201018
7
Fatty liver and insulin resistance: not always linked.
200819
8 20073
9 200615
10 200663
11 200520
12 200451
13 200420
14 2004109
15 2003111
16 200215
17 200239
18 20023
19 200223
20 200054

About Pin Yue

Pin Yue is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery, having authored 23 papers that have together received 810 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Lipid metabolism and biosynthesis (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (328 citations), Cardiology and Cardiovascular Medicine (291 citations), Biochemistry (79 citations), Epidemiology (275 citations) and Cancer Research (104 citations). Pin Yue has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Gustav Schonfeld, Xiaobo Lin, Dmitriy A. Yablonskiy, Tariq Tanoli, Maurizio Averna, D. A. Sleper, Prakash R. Arelli, Zhouji Chen, Bruce W. Patterson and Marleen Kars. Their work appears in journals such as Journal of Lipid Research, Human Mutation, American Journal of Physiology-Gastrointestinal and Liver Physiology, Crop Science and Atherosclerosis.

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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