WU Li-ya
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutrition and Dietetics top 5%
- Nuts composition and effects
Papers in
- Surgery 3
- Lipoproteins and Cardiovascular Health 3
-
- Nuts composition and effects 3
- Co-authors
- Klaus G. Parhofer (6 shared papers)Elisa Waldmann (5 shared papers)Renée Stark (4 shared papers)Katharina Lechner (2 shared papers)Sandra E. Fischer (1 shared paper)Daniel A. Gipe (1 shared paper)Berthold Koletzko (1 shared paper)Marina Cuchel (1 shared paper)
- Journals
- Metabolism (2 papers)Nutrients (2 papers)Journal of the American College of Cardiology (1 paper)PLoS ONE (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
WU Li-ya
8 papers receiving 660 citations
WU Li-ya's Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 264
- Nutrition and Dietetics 171
- Biochemistry 55
- Cardiology and Cardiovascular Medicine 119
- Cancer Research 75
Countries citing papers authored by WU Li-ya
This map shows the geographic impact of WU Li-ya'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 WU Li-ya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WU Li-ya more than expected).
Fields of papers citing papers by WU Li-ya
This network shows the impact of papers produced by WU Li-ya. 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 WU Li-ya. The network helps show where WU Li-ya may publish in the future.
Co-authors
The 19 scholars most cited alongside WU Li-ya, 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 | Diabetic dyslipidemia Hit paper breakdown → | 2014 | 363 |
| 2 | 2018 | 101 | |
| 3 | 2013 | 70 | |
| 4 | 2021 | 67 | |
| 5 | 2017 | 51 | |
| 6 | 2022 | 9 | |
| 7 | Antihypertensive Effects of Roots of Apium graveolens Extract in Renal Hypertensive Rats | 2010 | 5 |
| 8 | 2017 | 4 |
About WU Li-ya
WU Li-ya is a scholar working on Surgery, Nutrition and Dietetics, Ecology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 670 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Nuts composition and effects (3 papers), Agriculture Sustainability and Environmental Impact (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nutritional Studies and Diet (2 papers), Bee Products Chemical Analysis (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Tea Polyphenols and Effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (264 citations), Nutrition and Dietetics (171 citations), Biochemistry (55 citations), Cardiology and Cardiovascular Medicine (119 citations) and Cancer Research (75 citations). WU Li-ya has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Klaus G. Parhofer, Elisa Waldmann, Renée Stark, Katharina Lechner, Sandra E. Fischer, Daniel A. Gipe, Berthold Koletzko, Marina Cuchel, Henk Schierbeek and G. Kees Hovingh. Their work appears in journals such as Metabolism, Nutrients, Journal of the American College of Cardiology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.
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.