WU Li-ya
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutrition and Dietetics top 5%
- Nuts composition and effects
Papers in
-
- Nuts composition and effects 3
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- Klaus Georg Parhofer (6 shared papers)Elisa Waldmann (5 shared papers)Renee G. Stark (4 shared papers)John S. Millar (2 shared papers)Daniel James Rader (2 shared papers)Katharina Lechner (2 shared papers)Mangala M. Soundarapandian (1 shared paper)Adam B. Castoreno (1 shared paper)
- Journals
- Nutrients (2 papers)Metabolism (2 papers)PLoS ONE (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Circulation Research (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
WU Li-ya
9 papers receiving 783 citations
WU Li-ya's Hit Papers
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 233
- Nutrition and Dietetics 177
- Cardiology and Cardiovascular Medicine 143
- Biochemistry 39
- Cancer Research 68
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 21 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 | 394 |
| 2 | 2018 | 108 | |
| 3 | 2021 | 83 | |
| 4 | 2013 | 80 | |
| 5 | 2020 | 57 | |
| 6 | 2017 | 53 | |
| 7 | 2022 | 9 | |
| 8 | Antihypertensive Effects of Roots of Apium graveolens Extract in Renal Hypertensive Rats | 2010 | 6 |
| 9 | 2017 | 4 |
About WU Li-ya
WU Li-ya is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Ecology, having authored 9 papers that have together received 794 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Nuts composition and effects (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Agriculture Sustainability and Environmental Impact (2 papers), Lipid metabolism and disorders (2 papers), Bee Products Chemical Analysis (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (233 citations), Nutrition and Dietetics (177 citations), Cardiology and Cardiovascular Medicine (143 citations), Biochemistry (39 citations) and Cancer Research (68 citations). WU Li-ya has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Klaus Georg Parhofer, Elisa Waldmann, Renee G. Stark, John S. Millar, Daniel James Rader, Katharina Lechner, Mangala M. Soundarapandian, Adam B. Castoreno, Sandra Elisabeth Fischer and Hans Jansen. Their work appears in journals such as Nutrients, Metabolism, PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and Circulation Research.
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.