Jin Mou

1.3k total citations
38 papers, 994 citations indexed

About

Jin Mou is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jin Mou has authored 38 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jin Mou's work include Healthcare Systems and Reforms (5 papers), Obesity, Physical Activity, Diet (5 papers) and Migration, Health and Trauma (4 papers). Jin Mou is often cited by papers focused on Healthcare Systems and Reforms (5 papers), Obesity, Physical Activity, Diet (5 papers) and Migration, Health and Trauma (4 papers). Jin Mou collaborates with scholars based in United States, China and Hong Kong. Jin Mou's co-authors include Siân Griffiths, Bethann M. Pflugeisen, Martin Dawes, Zhen Shao, Yong Zhang, Daniel M. Czajkowsky, Henry Fong, Jinquan Cheng, Siân M. Griffiths and Jinquan Cheng and has published in prestigious journals such as PLoS ONE, FEBS Letters and Social Science & Medicine.

In The Last Decade

Jin Mou

35 papers receiving 964 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Mou United States 15 278 176 161 151 139 38 994
Ryoko Sato United States 16 156 0.6× 67 0.4× 179 1.1× 29 0.2× 67 0.5× 100 897
Manoel Carlos Sampaio de Almeida Ribeiro Brazil 17 433 1.6× 115 0.7× 262 1.6× 82 0.5× 178 1.3× 38 952
Gisela Kynast‐Wolf Germany 15 164 0.6× 164 0.9× 55 0.3× 96 0.6× 18 0.1× 27 823
Mosoka Fallah United States 20 169 0.6× 135 0.8× 217 1.3× 41 0.3× 295 2.1× 76 1.2k
Isa S. Abubakar Nigeria 18 396 1.4× 127 0.7× 140 0.9× 41 0.3× 118 0.8× 40 1.2k
María Teresa Ruiz Spain 11 229 0.8× 95 0.5× 200 1.2× 29 0.2× 123 0.9× 38 824
Asli Kulane Sweden 18 440 1.6× 220 1.3× 199 1.2× 60 0.4× 157 1.1× 64 1.1k
Oliver Mweemba Zambia 15 343 1.2× 172 1.0× 47 0.3× 47 0.3× 114 0.8× 43 714
Karl Krupp United States 23 302 1.1× 170 1.0× 285 1.8× 40 0.3× 120 0.9× 87 1.4k
A. De Muynck Belgium 15 159 0.6× 147 0.8× 62 0.4× 23 0.2× 74 0.5× 45 1.1k

Countries citing papers authored by Jin Mou

Since Specialization
Citations

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

Fields of papers citing papers by Jin Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Mou. A scholar is included among the top collaborators of Jin Mou 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 Jin Mou. Jin Mou 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.
Li, Yingjie, Yunhui Wang, Changjun Han, et al.. (2025). Additive manufacturing of personalized, semipermeable and biodegradable polymer/metal composite membrane for guided bone regeneration. Materials Today. 83. 181–197. 4 indexed citations
2.
Bowles, Erin J. Aiello, et al.. (2025). Accuracy of self-reported exam indications for breast cancer screening. JNCI Cancer Spectrum. 9(3).
3.
Zhao, Yuanyuan, Youzhu Yuan, Lin Leng, et al.. (2025). The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students: a single-center cross-sectional survey of western China. Frontiers in Public Health. 13. 1648416–1648416. 1 indexed citations
4.
5.
Pflugeisen, Bethann M., Jin Mou, Kathryn Drennan, & Heather Straub. (2020). Demographic Discrepancies in Prenatal Urine Drug Screening in Washington State Surrounding Recreational Marijuana Legalization and Accessibility. Maternal and Child Health Journal. 24(12). 1505–1514. 12 indexed citations
6.
Rose, Chelsea, Shilpi Gupta, James Buszkiewicz, et al.. (2020). Small increments in diet cost can improve compliance with the Dietary Guidelines for Americans. Social Science & Medicine. 266. 113359–113359. 12 indexed citations
7.
Gupta, Shilpi, Chelsea Rose, James Buszkiewicz, et al.. (2020). Characterising percentage energy from ultra-processed foods by participant demographics, diet quality and diet cost: findings from the Seattle Obesity Study (SOS) III. British Journal Of Nutrition. 126(5). 773–781. 25 indexed citations
8.
Mou, Jin, Bethann M. Pflugeisen, Paul J. Amoroso, et al.. (2019). Delay in Treatment After Cancer Diagnosis in Adolescents and Young Adults: Does Facility Transfer Matter?. Journal of Adolescent and Young Adult Oncology. 8(3). 243–253. 13 indexed citations
9.
10.
Hanevold, Coral D., et al.. (2018). Changing outpatient referral patterns in a small pediatric nephrology practice. BMC Pediatrics. 18(1). 195–195. 3 indexed citations
11.
Pflugeisen, Bethann M. & Jin Mou. (2017). Patient Satisfaction with Virtual Obstetric Care. Maternal and Child Health Journal. 21(7). 1544–1551. 94 indexed citations
12.
Liao, Yuxue, Yinghui Li, Shuyu Wu, et al.. (2015). Risk Factors for Vibrio parahaemolyticus Infection in a Southern Coastal Region of China. Foodborne Pathogens and Disease. 12(11). 881–886. 21 indexed citations
13.
Mou, Jin, et al.. (2014). Defining migration and its health impact in China. Public Health. 129(10). 1326–1334. 44 indexed citations
14.
Mou, Jin, Siân Griffiths, Henry Fong, & Martin Dawes. (2013). Health of China's rural-urban migrants and their families: a review of literature from 2000 to 2012. British Medical Bulletin. 106(1). 19–43. 137 indexed citations
15.
Mou, Jin, Martin Dawes, Yaqing He, et al.. (2013). Severe hand, foot and mouth disease in Shenzhen, South China: what matters most?. Epidemiology and Infection. 142(4). 776–788. 14 indexed citations
16.
Mou, Jin, Gracia Fellmeth, Siân Griffiths, Martin Dawes, & Jinquan Cheng. (2012). Tobacco Smoking Among Migrant Factory Workers in Shenzhen, China. Nicotine & Tobacco Research. 15(1). 69–76. 39 indexed citations
17.
Lu, Shaoyou, Jinquan Cheng, Xin Cheng, et al.. (2011). Estimate of 2009 H1N1 influenza cases in Shenzhen – the biggest migratory city in China. Epidemiology and Infection. 140(5). 788–797. 5 indexed citations
18.
Qiu, Yaqun, et al.. (2010). Surveillance on tetanus antibody levels of 1 003 migrant factory workers in Shenzhen.. Journal of Tropical Medicine. 10(6). 719–721. 2 indexed citations
19.
Mou, Jin, Siân Griffiths, Qinghua Hu, et al.. (2010). Seroprevalence of rubella in female migrant factory workers in Shenzhen, China. Vaccine. 28(50). 7844–7851. 15 indexed citations
20.
Mou, Jin. (2005). Telephone survey on behavior risk factors of Shenzhen residents among six districts in 2004. Chinese Journal of Disease Control and Prevention. 1 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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