Fen Yin

3.5k total citations
42 papers, 2.9k citations indexed

About

Fen Yin is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Fen Yin has authored 42 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Health, Toxicology and Mutagenesis and 10 papers in Physiology. Recurrent topics in Fen Yin's work include Air Quality and Health Impacts (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Climate Change and Health Impacts (6 papers). Fen Yin is often cited by papers focused on Air Quality and Health Impacts (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Climate Change and Health Impacts (6 papers). Fen Yin collaborates with scholars based in United States, Germany and China. Fen Yin's co-authors include Jesús A. Araujo, André J. Van Herle, Min Zhang, Willa A. Hsueh, Ronald E. Law, Shu Wakino, Alan R. Collins, Jeffrey Gornbein, Holly R. Middlekauff and Roya Moheimani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Fen Yin

40 papers receiving 2.9k citations

Peers

Fen Yin
Sreejayan Nair United States
Sebastián Mas Spain
Hesham M. Korashy Saudi Arabia
Li Chu China
Songming Huang China
Dan‐Qian Chen China
Claudia Fiorillo Italy
Norman G. Hord United States
Sreejayan Nair United States
Fen Yin
Citations per year, relative to Fen Yin Fen Yin (= 1×) peers Sreejayan Nair

Countries citing papers authored by Fen Yin

Since Specialization
Citations

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

Fields of papers citing papers by Fen Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Yin

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

All Works

20 of 20 papers shown
1.
Gupta, Rajat, Laurent Vergnes, Dawoud Sulaiman, et al.. (2025). Diesel exhaust induces gut microbiome dysbiosis and reduced fecal acetate: Role of acetate supplementation. Ecotoxicology and Environmental Safety. 303. 118654–118654.
2.
Li, Yihan, Nan Jin, Qimin Zhan, et al.. (2025). Machine learning-based risk predictive models for diabetic kidney disease in type 2 diabetes mellitus patients: a systematic review and meta-analysis. Frontiers in Endocrinology. 16. 1495306–1495306. 2 indexed citations
3.
Ramanathan, Gajalakshmi, Yuqi Zhao, Rajat Gupta, et al.. (2024). Integrated hepatic transcriptomics and metabolomics identify Pck1 as a key factor in the broad dysregulation induced by vehicle pollutants. Particle and Fibre Toxicology. 21(1). 55–55. 2 indexed citations
4.
Yin, Fen, et al.. (2024). Circulating inflammatory cytokines and sarcopenia-related traits: a mendelian randomization analysis. Frontiers in Medicine. 11. 1351376–1351376.
5.
Lin, Yan, Xinchen Lu, Xinghua Qiu, et al.. (2022). Arachidonic acid metabolism and inflammatory biomarkers associated with exposure to polycyclic aromatic hydrocarbons. Environmental Research. 212(Pt D). 113498–113498. 23 indexed citations
6.
Yin, Fen, Rajat Gupta, Laurent Vergnes, et al.. (2019). Diesel Exhaust Induces Mitochondrial Dysfunction, Hyperlipidemia, and Liver Steatosis. Arteriosclerosis Thrombosis and Vascular Biology. 39(9). 1776–1786. 35 indexed citations
7.
Moheimani, Roya, May Bhetraratana, Benjamin Yang, et al.. (2017). Sympathomimetic Effects of Acute E‐Cigarette Use: Role of Nicotine and Non‐Nicotine Constituents. Journal of the American Heart Association. 6(9). 106 indexed citations
8.
Yin, Fen, Dawoud Sulaiman, James A. Stewart, et al.. (2016). Abstract 20762: Diesel Exhaust Induces Hyperlipidemia in Association With Downregulation of PPAR Alpha and Changes in Gut Microbiota. Circulation. 134. 2 indexed citations
9.
Maiseyeu, Andrei, Gajalakshmi Ramanathan, Fen Yin, et al.. (2014). No effect of acute exposure to coarse particulate matter air pollution in a rural location on high-density lipoprotein function. Inhalation Toxicology. 26(1). 23–29. 10 indexed citations
10.
Ramanathan, Gajalakshmi, Jesús A. Araujo, Jeffrey Gornbein, Fen Yin, & Holly R. Middlekauff. (2014). Cigarette smoking is associated with dose-dependent adverse effects on paraoxonase activity and fibrinogen in young women. Inhalation Toxicology. 26(14). 861–865. 13 indexed citations
11.
Breton, Carrie V., et al.. (2013). HDL anti-oxidant function associates with LDL level in young adults. Atherosclerosis. 232(1). 165–170. 33 indexed citations
12.
Yin, Fen, Akeem O. Lawal, Jerry Ricks, et al.. (2013). Diesel Exhaust Induces Systemic Lipid Peroxidation and Development of Dysfunctional Pro-Oxidant and Pro-Inflammatory High-Density Lipoprotein. Arteriosclerosis Thrombosis and Vascular Biology. 33(6). 1153–1161. 125 indexed citations
13.
Yin, Fen, Dennis Bruemmer, Florian Blaschke, et al.. (2004). Signaling pathways involved in induction of GADD45 gene expression and apoptosis by troglitazone in human MCF-7 breast carcinoma cells. Oncogene. 23(26). 4614–4623. 78 indexed citations
14.
Blaschke, Florian, Dennis Bruemmer, Fen Yin, et al.. (2004). C-Reactive Protein Induces Apoptosis in Human Coronary Vascular Smooth Muscle Cells. Circulation. 110(5). 579–587. 120 indexed citations
15.
Bruemmer, Dennis, Fen Yin, Joey Liu, et al.. (2003). Expression of minichromosome maintenance proteins in vascular smooth muscle cells is ERK/MAPK dependent. Experimental Cell Research. 290(1). 28–37. 19 indexed citations
16.
Bruemmer, Dennis, Fen Yin, Joey Liu, et al.. (2003). Atorvastatin inhibits expression of minichromosome maintenance proteins in vascular smooth muscle cells. European Journal of Pharmacology. 462(1-3). 15–23. 16 indexed citations
17.
Bruemmer, Dennis, Fen Yin, Joey Liu, et al.. (2003). Rapamycin inhibits E2F-dependent expression of minichromosome maintenance proteins in vascular smooth muscle cells. Biochemical and Biophysical Research Communications. 303(1). 251–258. 21 indexed citations
18.
Wakino, Shu, Ulrich Kintscher, Zhaowei Liu, et al.. (2001). Peroxisome Proliferator-activated Receptor γ Ligands Inhibit Mitogenic Induction of p21Cip1 by Modulating the Protein Kinase Cδ Pathway in Vascular Smooth Muscle Cells. Journal of Biological Chemistry. 276(50). 47650–47657. 67 indexed citations
19.
Yin, Fen, Shu Wakino, Zhaowei Liu, et al.. (2001). Troglitazone Inhibits Growth of MCF-7 Breast Carcinoma Cells by Targeting G1 Cell Cycle Regulators. Biochemical and Biophysical Research Communications. 286(5). 916–922. 116 indexed citations
20.
Jiang, Jing, et al.. (1992). Highly Sensitive Sandwich Enzyme Immunoassay for Alpha-Fetoprotein in Human Saliva. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 29(5). 519–522. 5 indexed citations

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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