J. Mo
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Diabetes Management and Education
- Psychiatry and Mental health top 5%
- Migraine and Headache Studies
Papers in
-
- Respiratory viral infections research 2
- Co-authors
- Xin Duan (1 shared paper)Xianping Wu (1 shared paper)Jiang He (1 shared paper)Kristi Reynolds (1 shared paper)Paul K. Whelton (1 shared paper)Dongfeng Gu (1 shared paper)Sara A. Ephross (1 shared paper)April P. Carson (1 shared paper)
- Journals
- Communications Biology (1 paper)European Journal of Human Genetics (1 paper)BMC Medicine (1 paper)American Journal of Transplantation (1 paper)Diabetologia (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
J. Mo
11 papers receiving 668 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 215
- Psychiatry and Mental health 171
- Neurology 47
- Pathology and Forensic Medicine 58
- Cardiology and Cardiovascular Medicine 65
Countries citing papers authored by J. Mo
This map shows the geographic impact of J. Mo'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 J. Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mo more than expected).
Fields of papers citing papers by J. Mo
This network shows the impact of papers produced by J. Mo. 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 J. Mo. The network helps show where J. Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 345 | |
| 2 | 2005 | 192 | |
| 3 | 2007 | 76 | |
| 4 | 2017 | 29 | |
| 5 | 1991 | 26 | |
| 6 | 2024 | 9 | |
| 7 | 1995 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 1994 | 0 |
About J. Mo
J. Mo is a scholar working on Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Rheumatology, having authored 13 papers that have together received 688 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Respiratory viral infections research (2 papers), Folate and B Vitamins Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Lung Cancer Research Studies (1 paper), Antifungal resistance and susceptibility (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (215 citations), Psychiatry and Mental health (171 citations), Neurology (47 citations), Pathology and Forensic Medicine (58 citations) and Cardiology and Cardiovascular Medicine (65 citations). J. Mo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xin Duan, Xianping Wu, Jiang He, Kristi Reynolds, Paul K. Whelton, Dongfeng Gu, Sara A. Ephross, April P. Carson, Paul Stang and K. M. Rose. Their work appears in journals such as Communications Biology, European Journal of Human Genetics, BMC Medicine, American Journal of Transplantation and Diabetologia.
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.