Yinglan Lv

521 total citations · 1 hit paper
9 papers, 372 citations indexed

About

Yinglan Lv is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Yinglan Lv has authored 9 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Yinglan Lv's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Sirtuins and Resveratrol in Medicine (2 papers). Yinglan Lv is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Sirtuins and Resveratrol in Medicine (2 papers). Yinglan Lv collaborates with scholars based in China, Macao and United States. Yinglan Lv's co-authors include Yongcheng An, Hongyu Dai, Yuhui Duan, Baosheng Zhao, Lu Shi, Long Cheng, Huimin Li, Jingkang Wang, Chen Wang and Yaqi Li and has published in prestigious journals such as British Journal Of Nutrition, Phytotherapy Research and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Yinglan Lv

9 papers receiving 369 citations

Hit Papers

Brown and beige adipose tissue: a novel therapeutic strat... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinglan Lv China 7 237 141 128 51 33 9 372
Ariana Vargas‐Castillo Mexico 9 166 0.7× 87 0.6× 120 0.9× 32 0.6× 43 1.3× 16 313
Tamiris Lima Rachid Brazil 9 285 1.2× 212 1.5× 148 1.2× 62 1.2× 60 1.8× 10 435
Jae Heon Choi South Korea 5 264 1.1× 187 1.3× 84 0.7× 28 0.5× 33 1.0× 6 378
Diego Hernández‐Saavedra United States 13 215 0.9× 156 1.1× 180 1.4× 44 0.9× 79 2.4× 28 530
Chu-Sook Kim South Korea 8 158 0.7× 104 0.7× 192 1.5× 20 0.4× 42 1.3× 10 430
Carolline Santos Miranda Brazil 10 201 0.8× 162 1.1× 142 1.1× 40 0.8× 71 2.2× 15 356
Francisco J. Osuna‐Prieto Spain 12 205 0.9× 75 0.5× 82 0.6× 46 0.9× 27 0.8× 35 333
Nicole M. Anthony Canada 4 333 1.4× 140 1.0× 226 1.8× 38 0.7× 39 1.2× 4 473
Kimberly R. Haynie United States 7 279 1.2× 81 0.6× 225 1.8× 33 0.6× 27 0.8× 7 443
Karla E. Merz United States 5 258 1.1× 73 0.5× 222 1.7× 21 0.4× 69 2.1× 6 482

Countries citing papers authored by Yinglan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yinglan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglan Lv

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

All Works

9 of 9 papers shown
1.
An, Yongcheng, Hongyu Dai, Yuhui Duan, et al.. (2023). The relationship between gut microbiota and susceptibility to type 2 diabetes mellitus in rats. Chinese Medicine. 18(1). 49–49. 8 indexed citations
2.
Shi, Lu, Jingkang Wang, Changhao He, et al.. (2023). Identifying potential therapeutic targets of mulberry leaf extract for the treatment of type 2 diabetes: a TMT-based quantitative proteomic analysis. BMC Complementary Medicine and Therapies. 23(1). 308–308. 7 indexed citations
3.
Cheng, Long, Changhao He, Yinglan Lv, et al.. (2023). Mulberry leaf flavonoids activate BAT and induce browning of WAT to improve type 2 diabetes via regulating the AMPK/SIRT1/PGC-1α signaling pathway. Chinese Journal of Natural Medicines. 21(11). 812–829. 6 indexed citations
4.
Cheng, Long, Lu Shi, Changhao He, et al.. (2022). Rutin‐activated adipose tissue thermogenesis is correlated with increased intestinal short‐chain fatty acid levels. Phytotherapy Research. 36(6). 2495–2510. 28 indexed citations
5.
Shi, Lu, Yongcheng An, Long Cheng, et al.. (2022). Qingwei San treats oral ulcer subjected to stomach heat syndrome in db/db mice by targeting TLR4/MyD88/NF-κB pathway. Chinese Medicine. 17(1). 1–1. 19 indexed citations
6.
An, Yongcheng, Yuhui Duan, Hongyu Dai, et al.. (2022). Correlation analysis of intestinal flora and pathological process of type 2 diabetes mellitus. Journal of Traditional Chinese Medical Sciences. 9(2). 166–180. 6 indexed citations
7.
Duan, Yuhui, Hongyu Dai, Yongcheng An, et al.. (2022). Mulberry Leaf Flavonoids Inhibit Liver Inflammation in Type 2 Diabetes Rats by Regulating TLR4/MyD88/NF-κB Signaling Pathway. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 16 indexed citations
8.
Cheng, Long, Jingkang Wang, Yongcheng An, et al.. (2021). Mulberry leaf activates brown adipose tissue and induces browning of inguinal white adipose tissue in type 2 diabetic rats through regulating AMP-activated protein kinase signalling pathway. British Journal Of Nutrition. 127(6). 810–822. 25 indexed citations
9.
Cheng, Long, Jingkang Wang, Hongyu Dai, et al.. (2021). Brown and beige adipose tissue: a novel therapeutic strategy for obesity and type 2 diabetes mellitus. Adipocyte. 10(1). 48–65. 257 indexed citations breakdown →

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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