Yingying Luo

2.3k total citations · 1 hit paper
74 papers, 1.5k citations indexed

About

Yingying Luo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Yingying Luo has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Endocrinology, Diabetes and Metabolism, 26 papers in Molecular Biology and 21 papers in Surgery. Recurrent topics in Yingying Luo's work include Diabetes Management and Research (19 papers), Diabetes Treatment and Management (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Yingying Luo is often cited by papers focused on Diabetes Management and Research (19 papers), Diabetes Treatment and Management (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Yingying Luo collaborates with scholars based in China, United States and Australia. Yingying Luo's co-authors include Linong Ji, Xueyao Han, Xianghai Zhou, Qian Ren, Xiaoling Cai, Fang Wang, Xiuqin Sun, Stephanie A. Amiel, Belinda P. Childs and Philip E. Cryer and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yingying Luo

68 papers receiving 1.5k citations

Hit Papers

Hypoglycaemia, cardiovascular disease, and mortality in d... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingying Luo China 21 614 500 341 329 228 74 1.5k
Shiying Shao China 23 622 1.0× 417 0.8× 304 0.9× 178 0.5× 242 1.1× 56 1.5k
Federica Barutta Italy 25 632 1.0× 741 1.5× 403 1.2× 177 0.5× 217 1.0× 59 2.4k
Masato Odawara Japan 25 923 1.5× 642 1.3× 419 1.2× 198 0.6× 148 0.6× 112 1.9k
Silvia Pinach Italy 24 549 0.9× 620 1.2× 389 1.1× 214 0.7× 222 1.0× 44 1.9k
Narihito Yoshioka Japan 17 685 1.1× 625 1.3× 415 1.2× 200 0.6× 353 1.5× 44 1.8k
Steven J. Hurel United Kingdom 26 619 1.0× 541 1.1× 309 0.9× 331 1.0× 325 1.4× 49 1.8k
Tianshu Zeng China 22 506 0.8× 566 1.1× 225 0.7× 273 0.8× 256 1.1× 73 1.7k
Maria Lúcia Corrêa‐Giannella Brazil 27 580 0.9× 528 1.1× 405 1.2× 185 0.6× 298 1.3× 122 1.9k
Anders H. Rosengren Sweden 19 412 0.7× 656 1.3× 557 1.6× 289 0.9× 218 1.0× 42 1.7k
Kenya Sakamoto Japan 21 609 1.0× 390 0.8× 301 0.9× 162 0.5× 200 0.9× 41 1.8k

Countries citing papers authored by Yingying Luo

Since Specialization
Citations

This map shows the geographic impact of Yingying Luo'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 Yingying Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingying Luo more than expected).

Fields of papers citing papers by Yingying Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yingying Luo. 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 Yingying Luo. The network helps show where Yingying Luo may publish in the future.

Co-authorship network of co-authors of Yingying Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Luo. A scholar is included among the top collaborators of Yingying Luo 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 Yingying Luo. Yingying Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ji, Linong, Yingying Luo, Yong Mong Bee, et al.. (2023). Use of basal insulin in the management of adults with type 2 diabetes: An Asia‐Pacific evidence‐based clinical practice guideline. Journal of Diabetes. 15(6). 474–487. 4 indexed citations
3.
Liu, Jianfeng, et al.. (2023). Finite element method-based resistivity simulation and water saturation calculation of irregular laminated shaly sandstone. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 3 indexed citations
4.
Luo, Yingying, Jun Xia, Yaping Chang, et al.. (2023). Effectiveness, safety, initial optimal dose, and optimal maintenance dose range of basal insulin regimens for type 2 diabetes: A systematic review with meta‐analysis. Journal of Diabetes. 15(5). 419–435. 5 indexed citations
5.
Zhou, Lingli, Yingying Luo, Yan Wang, et al.. (2023). The clinical implications of fasting serum insulin levels in patients with insulin-treated type 2 diabetes: a cross-sectional survey. SHILAP Revista de lepidopterología. 4. 1172208–1172208.
6.
Luo, Yingying, et al.. (2023). Machine learning for the prediction of atherosclerotic cardiovascular disease during 3‐year follow up in Chinese type 2 diabetes mellitus patients. Journal of Diabetes Investigation. 14(11). 1289–1302. 2 indexed citations
7.
Zou, Xiantong, Yingying Luo, Qi Huang, et al.. (2023). Differential effect of interventions in patients with prediabetes stratified by a machine learning‐based diabetes progression prediction model. Diabetes Obesity and Metabolism. 26(1). 97–107. 10 indexed citations
9.
Gong, Siqian, Xueyao Han, Meng Li, et al.. (2021). Genetics and Clinical Characteristics of PPARγ Variant-Induced Diabetes in a Chinese Han Population. Frontiers in Endocrinology. 12. 677130–677130. 6 indexed citations
10.
Luo, Yingying, Hong Wu, Aihua Li, et al.. (2021). A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients. Diabetes Therapy. 12(7). 1887–1899. 3 indexed citations
11.
Zhou, Zhangsen, Mauricio Torres, Haibo Sha, et al.. (2020). Endoplasmic reticulum–associated degradation regulates mitochondrial dynamics in brown adipocytes. Science. 368(6486). 54–60. 147 indexed citations
13.
Han, Xueyao, Xianghai Zhou, Yufeng Li, et al.. (2018). A new clinical screening strategy and prevalence estimation for glucokinase variant-induced diabetes in an adult Chinese population. Genetics in Medicine. 21(4). 939–947. 27 indexed citations
14.
Li, Jing, Yingying Luo, Xiaohui Guo, et al.. (2017). Long exposure to type 2 diabetes and risk of non-fatal coronary heart disease in Chinese females and males: Findings from a China national cross-sectional study. Diabetes Research and Clinical Practice. 137. 119–127. 1 indexed citations
15.
Cai, Xiaoling, et al.. (2017). A Novel Mutation of PRKAR1A Caused Carney Complex in a Chinese Patient. Chinese Medical Journal. 130(24). 3009–3010. 1 indexed citations
16.
Cai, Xiaoling, Xueyao Han, Yingying Luo, & Linong Ji. (2013). Comparisons of the Efficacy of Alpha Glucosidase Inhibitors on Type 2 Diabetes Patients between Asian and Caucasian. PLoS ONE. 8(11). e79421–e79421. 25 indexed citations
17.
Han, Xueyao, Yingying Luo, Xiuying Zhang, et al.. (2013). Rs4074134 Near BDNF Gene Is Associated with Type 2 Diabetes Mellitus in Chinese Han Population Independently of Body Mass Index. PLoS ONE. 8(2). e56898–e56898. 21 indexed citations
18.
Song, Guohua, Hua Tian, Shucun Qin, et al.. (2011). Hydrogen decreases athero-susceptibility in apolipoprotein B-containing lipoproteins and aorta of apolipoprotein E knockout mice. Atherosclerosis. 221(1). 55–65. 30 indexed citations
19.
Wang, Fang, Xueyao Han, Qian Ren, et al.. (2009). Effect of genetic variants in KCNJ11, ABCC8, PPARG and HNF4A loci on the susceptibility of type 2 diabetes in Chinese Han population.. PubMed. 122(20). 2477–82. 40 indexed citations
20.
Zhou, Xianghai, et al.. (2009). Performance of HbA1c for detecting newly diagnosed diabetes and pre‐diabetes in Chinese communities living in Beijing. Diabetic Medicine. 26(12). 1262–1268. 38 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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