WU Li-ya

961 total citations · 1 hit paper
8 papers, 670 citations indexed

About

WU Li-ya is a scholar working on Surgery, Nutrition and Dietetics and Ecology. According to data from OpenAlex, WU Li-ya has authored 8 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Nutrition and Dietetics and 2 papers in Ecology. Recurrent topics in WU Li-ya's work include Lipoproteins and Cardiovascular Health (3 papers), Nuts composition and effects (3 papers) and Agriculture Sustainability and Environmental Impact (2 papers). WU Li-ya is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Nuts composition and effects (3 papers) and Agriculture Sustainability and Environmental Impact (2 papers). WU Li-ya collaborates with scholars based in Germany, United States and Netherlands. WU Li-ya's co-authors include Klaus G. Parhofer, Elisa Waldmann, Renée Stark, Katharina Lechner, Sandra E. Fischer, Christos S. Mantzoros, John S. Millar, Hans Jansen, Daniel A. Gipe and G. Kees Hovingh and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

WU Li-ya

8 papers receiving 660 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diabetic dyslipidemia

2014 363 citations WU Li-ya, Klaus G. Parhofer Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
WU Li-ya Germany	6	264	175	171	137	119	8	670
Paola Cipriano Italy	17	344 1.3×	139 0.8×	230 1.3×	126 0.9×	85 0.7×	40	874
G. Ferns United Kingdom	16	349 1.3×	252 1.4×	145 0.8×	136 1.0×	186 1.6×	40	975
T. T. Nguyen United States	8	349 1.3×	202 1.2×	68 0.4×	70 0.5×	110 0.9×	10	603
Maire Rantala Finland	13	167 0.6×	192 1.1×	71 0.4×	78 0.6×	113 0.9×	15	640
T. A. Barringer United States	11	109 0.4×	210 1.2×	389 2.3×	104 0.8×	167 1.4×	20	858
Anna Mangione Italy	10	284 1.1×	94 0.5×	112 0.7×	113 0.8×	60 0.5×	11	658
Dimple Aggarwal United States	7	105 0.4×	122 0.7×	90 0.5×	108 0.8×	34 0.3×	12	565
Fernando Lopez‐Segura Spain	18	264 1.0×	366 2.1×	359 2.1×	144 1.1×	150 1.3×	26	1.1k
Yu. I. Ragino Russia	11	86 0.3×	119 0.7×	83 0.5×	156 1.1×	140 1.2×	164	668
Chesney K. Richter United States	14	163 0.6×	144 0.8×	509 3.0×	173 1.3×	97 0.8×	21	1.1k

Countries citing papers authored by WU Li-ya

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of WU Li-ya

This figure shows the co-authorship network connecting the top 25 collaborators of WU Li-ya. A scholar is included among the top collaborators of WU Li-ya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with WU Li-ya. WU Li-ya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Waldmann, Elisa, et al.. (2022). Effect of PCSK9 inhibition with evolocumab on lipoprotein subfractions in familial dysbetalipoproteinemia (type III hyperlipidemia). PLoS ONE. 17(3). e0265838–e0265838. 9 indexed citations

2.

Reeskamp, Laurens F., John S. Millar, WU Li-ya, et al.. (2021). ANGPTL3 Inhibition With Evinacumab Results in Faster Clearance of IDL and LDL apoB in Patients With Homozygous Familial Hypercholesterolemia—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 41(5). 1753–1759. 67 indexed citations

3.

Lechner, Katharina, WU Li-ya, Elisa Waldmann, et al.. (2018). A Walnut-Enriched Diet Affects Gut Microbiome in Healthy Caucasian Subjects: A Randomized, Controlled Trial. Nutrients. 10(2). 244–244. 101 indexed citations

4.

Lechner, Katharina, et al.. (2017). A Walnut-Enriched Diet Reduces Lipids in Healthy Caucasian Subjects, Independent of Recommended Macronutrient Replacement and Time Point of Consumption: a Prospective, Randomized, Controlled Trial. Nutrients. 9(10). 1097–1097. 51 indexed citations

5.

Li-ya, WU, et al.. (2017). THE EFFECT OF PCSK9 INHIBITION ON LDL-SUBFRACTIONS IN PATIENTS WITH SEVERE LDL-HYPERCHOLESTEROLEMIA. Journal of the American College of Cardiology. 69(11). 1719–1719. 4 indexed citations

6.

Li-ya, WU & Klaus G. Parhofer. (2014). Diabetic dyslipidemia. Metabolism. 63(12). 1469–1479. 363 indexed citations breakdown →

7.

Li-ya, WU, Elisa Waldmann, Uli C. Broedl, et al.. (2013). Walnut-enriched diet reduces fasting non-HDL-cholesterol and apolipoprotein B in healthy Caucasian subjects: A randomized controlled cross-over clinical trial. Metabolism. 63(3). 382–391. 70 indexed citations

8.

Li-ya, WU. (2010). Antihypertensive Effects of Roots of Apium graveolens Extract in Renal Hypertensive Rats. Zhongguo shiyan fangjixue zazhi. 5 indexed citations

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.

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