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Cited by in F6Publishing
For: Wang Y, Han Y, Zhu T, Li W, Zhang H. A prospective study (SCOPE) comparing the cardiometabolic and respiratory effects of air pollution exposure on healthy and pre-diabetic individuals. Sci China Life Sci 2018;61:46-56. [DOI: 10.1007/s11427-017-9074-2] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang T, Han Y, Li H, Fang Y, Liang P, Wang Y, Chen X, Qiu X, Gong J, Li W, Zhu T. Fine particulate matter and vasoactive 20-hydroxyeicosatetraenoic acid: Insights into the mechanisms of the prohypertensive effects of particulate air pollution. Sci Total Environ 2021;:151298. [PMID: 34749965 DOI: 10.1016/j.scitotenv.2021.151298] [Reference Citation Analysis]
2 Chen X, Wang T, Qiu X, Que C, Zhang H, Zhang L, Zhu T. Susceptibility of individuals with chronic obstructive pulmonary disease to air pollution exposure in Beijing, China: A case-control panel study (COPDB). Science of The Total Environment 2020;717:137285. [DOI: 10.1016/j.scitotenv.2020.137285] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
3 Tian L, Yang C, Zhou Z, Wu Z, Pan X, Clements ACA. Spatial patterns and effects of air pollution and meteorological factors on hospitalization for chronic lung diseases in Beijing, China. Sci China Life Sci 2019;62:1381-8. [PMID: 30671885 DOI: 10.1007/s11427-018-9413-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
4 Tao S, Xu Y, Chen M, Zhang H, Huang X, Li Z, Pan B, Peng R, Zhu Y, Kan H, Li W, Ying Z. Exposure to different fractions of diesel exhaust PM2.5 induces different levels of pulmonary inflammation and acute phase response. Ecotoxicol Environ Saf 2021;210:111871. [PMID: 33422840 DOI: 10.1016/j.ecoenv.2020.111871] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Fan Y, Han Y, Liu Y, Wang Y, Chen X, Chen W, Liang P, Fang Y, Wang J, Xue T, Yao Y, Li W, Qiu X, Zhu T. Biases Arising from the Use of Ambient Measurements to Represent Personal Exposure in Evaluating Inflammatory Responses to Fine Particulate Matter: Evidence from a Panel Study in Beijing, China. Environ Sci Technol Lett 2020;7:746-52. [DOI: 10.1021/acs.estlett.0c00478] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Zhang L, Morisaki H, Wei Y, Li Z, Yang L, Zhou Q, Zhang X, Xing W, Hu M, Shima M, Toriba A, Hayakawa K, Tang N. Characteristics of air pollutants inside and outside a primary school classroom in Beijing and respiratory health impact on children. Environ Pollut 2019;255:113147. [PMID: 31522002 DOI: 10.1016/j.envpol.2019.113147] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 7.7] [Reference Citation Analysis]
7 Chen X, Han Y, Chen W, Wang Y, Qiu X, Li W, Hu M, Wu Y, Wang Q, Zhang H, Zhu T. Respiratory Inflammation and Short-Term Ambient Air Pollution Exposures in Adult Beijing Residents with and without Prediabetes: A Panel Study. Environ Health Perspect 2020;128:67004. [PMID: 32484751 DOI: 10.1289/EHP4906] [Cited by in Crossref: 10] [Cited by in F6Publishing: 1] [Article Influence: 5.0] [Reference Citation Analysis]
8 Yu L, Moriguchi Y, Nakatani J, Zhang Q, Li F, He W, Li G. Environmental Impact Assessment on the Recycling of Waste LCD Panels. ACS Sustainable Chem Eng 2019;7:6360-8. [DOI: 10.1021/acssuschemeng.9b00119] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
9 Chen W, Han Y, Wang Y, Chen X, Qiu X, Li W, Yao Y, Zhu T. Associations between changes in adipokines and exposure to fine and ultrafine particulate matter in ambient air in Beijing residents with and without pre-diabetes. BMJ Open Diabetes Res Care 2020;8:e001215. [PMID: 33361362 DOI: 10.1136/bmjdrc-2020-001215] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Liu S, Huang Q, Wu Y, Song Y, Dong W, Chu M, Yang D, Zhang X, Zhang J, Chen C, Zhao B, Shen H, Guo X, Deng F. Metabolic linkages between indoor negative air ions, particulate matter and cardiorespiratory function: A randomized, double-blind crossover study among children. Environment International 2020;138:105663. [DOI: 10.1016/j.envint.2020.105663] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
11 Lin Y, Zhang H, Han Y, Qiu X, Jiang X, Cheng Z, Wang Y, Chen X, Fan Y, Li W, Zhang J, Zhu T. Field Evaluation of a Potential Exposure Biomarker of Methylated Polycyclic Aromatic Hydrocarbons: Association between Urinary Phenanthrene-2-carboxylic Acid and Personal Exposure to 2-Methylphenanthrene. Environ Sci Technol Lett . [DOI: 10.1021/acs.estlett.1c00938] [Reference Citation Analysis]
12 Zhang H, Han Y, Qiu X, Wang Y, Li W, Liu J, Chen X, Li R, Xu F, Chen W, Yang Q, Fang Y, Fan Y, Wang J, Zhang H, Zhu T. Association of internal exposure to polycyclic aromatic hydrocarbons with inflammation and oxidative stress in prediabetic and healthy individuals. Chemosphere. 2020;253:126748. [PMID: 32464779 DOI: 10.1016/j.chemosphere.2020.126748] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
13 Han Y, Chen W, Chatzidiakou L, Krause A, Yan L, Zhang H, Chan Q, Barratt B, Jones R, Liu J, Wu Y, Zhao M, Zhang J, Kelly FJ, Zhu T; the AIRLESS team. Effects of AIR pollution on cardiopuLmonary disEaSe in urban and peri-urban reSidents in Beijing: protocol for the AIRLESS study. Atmos Chem Phys 2020;20:15775-92. [DOI: 10.5194/acp-20-15775-2020] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Goettems-fiorin PB, Costa-beber LC, dos Santos JB, Friske PT, Sulzbacher LM, Frizzo MN, Ludwig MS, Rhoden CR, Heck TG. Ovariectomy predisposes female rats to fine particulate matter exposure’s effects by altering metabolic, oxidative, pro-inflammatory, and heat-shock protein levels. Environ Sci Pollut Res 2019;26:20581-94. [DOI: 10.1007/s11356-019-05383-9] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.7] [Reference Citation Analysis]
15 Wang T, Han Y, Li H, Wang Y, Xue T, Chen X, Chen W, Fan Y, Qiu X, Gong J, Xu Y, Wang J, Li W, Zhu T. Changes in bioactive lipid mediators in response to short-term exposure to ambient air particulate matter: A targeted lipidomic analysis of oxylipin signaling pathways. Environment International 2021;147:106314. [DOI: 10.1016/j.envint.2020.106314] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
16 Shi Y, Han Y, Wang Y, Qi L, Chen X, Chen W, Li W, Zhang H, Zhu T, Gong J. Serum branched-chain amino acids modifies the associations between air pollutants and insulin resistance. Ecotoxicol Environ Saf 2021;225:112780. [PMID: 34537587 DOI: 10.1016/j.ecoenv.2021.112780] [Reference Citation Analysis]
17 Jiang X, Han Y, Qiu X, Chai Q, Zhang H, Chen X, Cheng Z, Wang Y, Fan Y, Xue T, Li W, Gong J, Zhu T. Organic Components of Personal PM2.5 Exposure Associated with Inflammation: Evidence from an Untargeted Exposomic Approach. Environ Sci Technol 2021;55:10589-96. [PMID: 34297563 DOI: 10.1021/acs.est.1c02023] [Reference Citation Analysis]
18 Han Y, Wang Y, Li W, Chen X, Xue T, Chen W, Fan Y, Qiu X, Zhu T. Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design. Environ Health 2019;18:65. [PMID: 31307478 DOI: 10.1186/s12940-019-0502-6] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 4.3] [Reference Citation Analysis]
19 Wang T, Han Y, Li H, Wang Y, Chen X, Chen W, Qiu X, Gong J, Li W, Zhu T. Proinflammatory lipid signals trigger the health effects of air pollution in individuals with prediabetes. Environ Pollut 2021;290:118008. [PMID: 34479157 DOI: 10.1016/j.envpol.2021.118008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Wang T, Li H, Han Y, Wang Y, Gong J, Gao K, Li W, Zhang H, Wang J, Qiu X, Zhu T. A rapid and high-throughput approach to quantify non-esterified oxylipins for epidemiological studies using online SPE-LC-MS/MS. Anal Bioanal Chem 2020;412:7989-8001. [DOI: 10.1007/s00216-020-02931-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
21 Chen L, Chen XW, Huang X, Song BL, Wang Y, Wang Y. Regulation of glucose and lipid metabolism in health and disease. Sci China Life Sci 2019;62:1420-58. [PMID: 31686320 DOI: 10.1007/s11427-019-1563-3] [Cited by in Crossref: 38] [Cited by in F6Publishing: 34] [Article Influence: 12.7] [Reference Citation Analysis]