Jin Mou
Impact in
- Structural Biology top 10%
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
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- Health Literacy and Information Accessibility 2
-
- Childhood Cancer Survivors' Quality of Life 2
- Co-authors
- Siân Griffiths (7 shared papers)Bethann M. Pflugeisen (11 shared papers)Martin Dawes (4 shared papers)Zhen Shao (1 shared paper)Daniel M. Czajkowsky (1 shared paper)Yong Zhang (1 shared paper)Henry Fong (1 shared paper)Jinquan Cheng (4 shared papers)
- Journals
- Public Health (2 papers)Vaccine (2 papers)Maternal and Child Health Journal (2 papers)Annals of Epidemiology (2 papers)Epidemiology and Infection (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jin Mou
34 papers receiving 984 citations
Peers
Comparison fields: 5 of 110
- Structural Biology 26
- Endocrinology 84
- Health 85
- Finance 107
- General Health Professions 130
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 152 | |
| 2 | 2013 | 139 | |
| 3 | 2009 | 112 | |
| 4 | 2017 | 94 | |
| 5 | 2014 | 71 | |
| 6 | 2011 | 57 | |
| 7 | 2014 | 45 | |
| 8 | 2014 | 42 | |
| 9 | 2012 | 38 | |
| 10 | 2011 | 31 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2015 | 21 | |
| 15 | 2010 | 15 | |
| 16 | 2013 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2025 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 12 |
About Jin Mou
Jin Mou is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Finance, Pharmacology and Clinical Psychology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (4 papers), Cannabis and Cannabinoid Research (3 papers), Obesity, Physical Activity, Diet (2 papers), Vibrio bacteria research studies (2 papers), Nutritional Studies and Diet (2 papers), Health Literacy and Information Accessibility (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Structural Biology (26 citations), Endocrinology (84 citations), Health (85 citations), Finance (107 citations) and General Health Professions (130 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, Zhen Shao, Daniel M. Czajkowsky, Yong Zhang, Henry Fong, Jinquan Cheng, Siân M. Griffiths and Jinquan Cheng. Their work appears in journals such as Public Health, Vaccine, Maternal and Child Health Journal, Annals of Epidemiology and Epidemiology and Infection.
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.