Jun Yang
- Biochemistry top 0.02%
- Eicosanoids and Hypertension Pharmacology 138
- Pharmacology top 0.5%
- Inflammatory mediators and NSAID effects 21
- Pharmacogenetics and Drug Metabolism 20
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- Hormonal Regulation and Hypertension 46
- Diet, Metabolism, and Disease 18
- Nutrition and Dietetics top 0.5%
- Fatty Acid Research and Health 34
- Biological Psychiatry top 2%
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- Alcohol Consumption and Health Effects 50
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- Metabolomics and Mass Spectrometry Studies 22
- Co-authors
- Bruce D. HammockSung Hee HwangChristophe MorisseauDonald DefrancoGuowang XuKin Sing Stephen LeeKatrin GeorgiKaren Wagner
- Journals
- Proceedings of the National Academy of Sciences (20 papers)International Journal of Molecular Sciences (8 papers)PLoS ONE (8 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jun Yang
279 papers receiving 9.1k citations
Peers
Comparison fields: 5 of 167
- Biochemistry 3.5k
- Pharmacology 705
- Endocrinology, Diabetes and Metabolism 1.3k
- Nutrition and Dietetics 1.1k
- Biological Psychiatry 178
Countries citing papers authored by Jun Yang
This map shows the geographic impact of Jun 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 Jun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yang more than expected).
Fields of papers citing papers by Jun Yang
This network shows the impact of papers produced by Jun 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 Jun Yang. The network helps show where Jun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yang, 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 | 2025 | 10 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 104 | |
| 10 | 2020 | 54 | |
| 11 | 2020 | 2 | |
| 12 | 2017 | 32 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 34 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 7 | |
| 17 | 2014 | 83 | |
| 18 | [Correlation of gene polymorphism of interleukin 4 receptor alpha peptide chain and total serum IgE levels in asthmatic children in Guiyang area]. | 2014 | 3 |
| 19 | Thermal Decomposition and Growth of Short Alkylated Naphthalenes | 2007 | 1 |
| 20 | 1992 | 2 |
About Jun Yang
Jun Yang is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 286 papers that have together received 9.3k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (138 papers), Alcohol Consumption and Health Effects (50 papers), Hormonal Regulation and Hypertension (46 papers), Fatty Acid Research and Health (34 papers), Metabolomics and Mass Spectrometry Studies (22 papers), Inflammatory mediators and NSAID effects (21 papers), Pharmacogenetics and Drug Metabolism (20 papers) and Diet, Metabolism, and Disease (18 papers). The work is most often cited by research in Biochemistry (3.5k citations), Pharmacology (705 citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). Jun Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bruce D. Hammock, Sung Hee Hwang, Christophe Morisseau, Donald Defranco, Guowang Xu, Kin Sing Stephen Lee, Katrin Georgi, Karen Wagner, Jun‐Yan Liu and Hongwei Kong. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences, PLoS ONE, Analytical Chemistry and Journal of Lipid Research.
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.