Jun Yang

13.5k citations
286 papers · 9.3k · h-index 53

Impact in

  • Biochemistry top 0.02%
    • Eicosanoids and Hypertension Pharmacology
  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Inflammatory mediators and NSAID effects

Papers in

Jun Yang

279 papers receiving 9.1k citations

Peers

Jun Yang
Comparison fields: 5 of 167
  • Biochemistry 3.5k
  • Pharmacology 705
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Nutrition and Dietetics 1.1k
  • Biological Psychiatry 178
Replace Dimitrios Tsikas with:
Dimitrios Tsikas Germany
Ranieri Rossi Italy
Yi Zhun Zhu China
Shelly C. Lu United States
Isabella Dalle‐Donne Italy
Matthew B. Grisham United States
Daniela Giustarini Italy
Jack R. Lancaster United States
Aldo Milzani Italy
Giuseppe Cirino Italy
Jun Yang relative to Dimitrios Tsikas Germany Dimitrios Tsikas's profile →
Citations per field
00.5×1.5×2.0×
Dimitrios Tsikas · 1×
Citations per year

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun Yang Line = papers co-authored together Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009280
2 2013248
3 2005219
4 2004181
5 2009139
6 2016131
7 2006126
8 2020123
9 2008119
10 2018115
11
Prostate cancer cells induce osteoblast differentiation through a Cbfa1-dependent pathway.
2001114
12 2009113
13 2018109
14 2008108
15 2012108
16 2010108
17 2021104
18 199498
19 199795
20 200493

About Jun Yang

Jun Yang is a scholar working on Biochemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Nutrition and Dietetics, 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), Endocrinology, Diabetes and Metabolism (1.3k citations), Nutrition and Dietetics (1.1k citations) and Biological Psychiatry (178 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.

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