Ya Pei
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 6
- Liver Disease Diagnosis and Treatment 4
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- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 2
- Co-authors
- Honggui Li (8 shared papers)Chaodong Wu (8 shared papers)Xin Guo (7 shared papers)Rachel Botchlett (5 shared papers)Yuqing Huo (6 shared papers)Shih-Lung Woo (4 shared papers)Ting Guo (4 shared papers)Hang Xu (3 shared papers)
- Journals
- Scientific Reports (2 papers)Current Developments in Nutrition (2 papers)Journal of Endocrinology (2 papers)Journal of Food Biochemistry (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ya Pei
15 papers receiving 537 citations
Peers
Comparison fields: 5 of 84
- Endocrine and Autonomic Systems 60
- Aging 14
- Physiology 188
- Endocrinology, Diabetes and Metabolism 115
- Epidemiology 201
Countries citing papers authored by Ya Pei
This map shows the geographic impact of Ya Pei'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 Ya Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Pei more than expected).
Fields of papers citing papers by Ya Pei
This network shows the impact of papers produced by Ya Pei. 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 Ya Pei. The network helps show where Ya Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Pei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 160 | |
| 2 | 2016 | 92 | |
| 3 | 2014 | 71 | |
| 4 | 2020 | 62 | |
| 5 | 2017 | 41 | |
| 6 | 2017 | 38 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 7 | |
| 12 | [Spectra analysis of lignin small molecular guaiacyl coniferyl alcohol biological modification treated by laccase]. | 2010 | 1 |
| 13 | 2019 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2016 | 1 |
About Ya Pei
Ya Pei is a scholar working on Epidemiology, Physiology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 541 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cardiovascular Disease and Adiposity (2 papers), Regulation of Appetite and Obesity (2 papers), Diet and metabolism studies (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (60 citations), Aging (14 citations), Physiology (188 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Epidemiology (201 citations). Ya Pei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Honggui Li, Chaodong Wu, Xin Guo, Rachel Botchlett, Yuqing Huo, Shih-Lung Woo, Ting Guo, Hang Xu, Ting Qi and Hye Won Kang. Their work appears in journals such as Scientific Reports, Current Developments in Nutrition, Journal of Endocrinology, Journal of Food Biochemistry and Journal of Molecular Endocrinology.
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.