Jin Mou
Impact in
- Structural Biology top 10%
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Health Literacy and Information Accessibility 2
- Finance 4
- Healthcare Systems and Reforms 4
- Co-authors
- Sian Meryl Griffiths (7 shared papers)Bethann Mangel Pflugeisen (11 shared papers)Martin G. Dawes (4 shared papers)Yong zhang (1 shared paper)Zhen Shao (1 shared paper)Daniel Mark Czajkowsky (1 shared paper)Henry K. W. Fong (1 shared paper)Jinquan Cheng (3 shared papers)
- Journals
- Annals of Epidemiology (2 papers)Maternal and Child Health Journal (2 papers)Epidemiology and Infection (2 papers)Public Health (2 papers)Vaccine (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Jin Mou
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Structural Biology 28
- Endocrinology 84
- Finance 107
- Health 87
- General Health Professions 137
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 165 | |
| 2 | 2013 | 146 | |
| 3 | 2009 | 115 | |
| 4 | 2017 | 95 | |
| 5 | 2014 | 73 | |
| 6 | 2011 | 60 | |
| 7 | 2014 | 47 | |
| 8 | 2014 | 42 | |
| 9 | 2012 | 39 | |
| 10 | 2011 | 34 | |
| 11 | 2020 | 29 | |
| 12 | 2018 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 2015 | 21 | |
| 15 | 2010 | 18 | |
| 16 | 2013 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 10 |
About Jin Mou
Jin Mou is a scholar working on General Health Professions, Finance, Endocrinology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 35 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), Childhood Cancer Survivors' Quality of Life (2 papers), Nutritional Studies and Diet (2 papers), Obesity, Physical Activity, Diet (2 papers), Viral Infections and Immunology Research (2 papers), Global Cancer Incidence and Screening (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Structural Biology (28 citations), Endocrinology (84 citations), Finance (107 citations), Health (87 citations) and General Health Professions (137 citations). Jin Mou has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Sian Meryl Griffiths, Bethann Mangel Pflugeisen, Martin G. Dawes, Yong zhang, Zhen Shao, Daniel Mark Czajkowsky, Henry K. W. Fong, Jinquan Cheng, Sian Meryl Griffiths and Jinquan Cheng. Their work appears in journals such as Annals of Epidemiology, Maternal and Child Health Journal, Epidemiology and Infection, Public Health and Vaccine.
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.