Juying Ji
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Diet, Metabolism, and Disease 1
- Surgery 2
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 1
- Co-authors
- P. Hugh R. Barrett (9 shared papers)Dick C. Chan (9 shared papers)Gerald F. Watts (9 shared papers)Anthony G. Johnson (6 shared papers)Esther Ooi (7 shared papers)Adrian Serone (3 shared papers)Kevin D. Croft (1 shared paper)F. Loehrer (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Clinical Endocrinology (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Atherosclerosis Supplements (1 paper)Clinical Science (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Juying Ji
12 papers receiving 455 citations
Peers
Comparison fields: 5 of 41
- Endocrinology, Diabetes and Metabolism 216
- Surgery 187
- Cardiology and Cardiovascular Medicine 94
- Cancer Research 61
- Epidemiology 88
Countries citing papers authored by Juying Ji
This map shows the geographic impact of Juying Ji'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 Juying Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juying Ji more than expected).
Fields of papers citing papers by Juying Ji
This network shows the impact of papers produced by Juying Ji. 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 Juying Ji. The network helps show where Juying Ji may publish in the future.
Co-authors
The 23 scholars most cited alongside Juying Ji, 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 | 188 | |
| 2 | 2008 | 54 | |
| 3 | 2008 | 46 | |
| 4 | 2006 | 41 | |
| 5 | 2002 | 29 | |
| 6 | 2006 | 28 | |
| 7 | Dietary plant sterols supplementation does not alter lipoprotein kinetics in men with the metabolic syndrome. | 2007 | 23 |
| 8 | 2004 | 18 | |
| 9 | 2002 | 16 | |
| 10 | 2009 | 13 | |
| 11 | 2006 | 5 | |
| 12 | 2006 | 2 |
About Juying Ji
Juying Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 463 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Fatty Acid Research and Health (1 paper), Lipid metabolism and disorders (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Surgery (187 citations), Cardiology and Cardiovascular Medicine (94 citations), Cancer Research (61 citations) and Epidemiology (88 citations). Juying Ji has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include P. Hugh R. Barrett, Dick C. Chan, Gerald F. Watts, Anthony G. Johnson, Esther Ooi, Adrian Serone, Kevin D. Croft, F. Loehrer, Kerry‐Anne Rye and Doris Chan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis Supplements and Clinical Science.
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.