Jin Mou
Impact in
- Health top 5%
- Health disparities and outcomes
- Structural Biology top 10%
Papers in
-
- Employment and Welfare Studies 3
- Health Literacy and Information Accessibility 2
- Food Security and Health in Diverse Populations 2
-
- Prenatal Substance Exposure Effects 2
- Co-authors
- Siân Griffiths (7 shared papers)Bethann M. Pflugeisen (11 shared papers)Martin Dawes (4 shared papers)Yong Zhang (1 shared paper)Daniel M. Czajkowsky (1 shared paper)Zhen Shao (1 shared paper)Henry Fong (1 shared paper)Jinquan Cheng (4 shared papers)
- Journals
- Vaccine (2 papers)Epidemiology and Infection (2 papers)Annals of Epidemiology (2 papers)Frontiers in Public Health (2 papers)Public Health (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jin Mou
35 papers receiving 964 citations
Peers
Comparison fields: 5 of 124
- Health 161
- Structural Biology 26
- Endocrinology 83
- Finance 151
- General Health Professions 278
Countries citing papers authored by Jin Mou
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
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-authors
The 25 scholars most cited alongside Jin Mou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 152 | |
| 2 | 2013 | 137 | |
| 3 | 2009 | 111 | |
| 4 | 2017 | 94 | |
| 5 | 2014 | 70 | |
| 6 | 2011 | 58 | |
| 7 | 2014 | 44 | |
| 8 | 2014 | 42 | |
| 9 | 2012 | 39 | |
| 10 | 2011 | 30 | |
| 11 | 2018 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2015 | 21 | |
| 15 | 2010 | 15 | |
| 16 | 2013 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 10 |
About Jin Mou
Jin Mou is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Clinical Psychology and Health, having authored 38 papers that have together received 994 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (5 papers), Obesity, Physical Activity, Diet (5 papers), Migration, Health and Trauma (4 papers), Health disparities and outcomes (4 papers), Employment and Welfare Studies (3 papers), Health Literacy and Information Accessibility (2 papers), Prenatal Substance Exposure Effects (2 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Health (161 citations), Structural Biology (26 citations), Endocrinology (83 citations), Finance (151 citations) and General Health Professions (278 citations). Jin Mou has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Siân Griffiths, Bethann M. Pflugeisen, Martin Dawes, Yong Zhang, Daniel M. Czajkowsky, Zhen Shao, Henry Fong, Jinquan Cheng, Siân M. Griffiths and Jinquan Cheng. Their work appears in journals such as Vaccine, Epidemiology and Infection, Annals of Epidemiology, Frontiers in Public Health and Public Health.
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.