Yan Yun Liu

581 total citations
23 papers, 449 citations indexed

About

Yan Yun Liu is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yan Yun Liu has authored 23 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yan Yun Liu's work include Estrogen and related hormone effects (4 papers), Diabetes Treatment and Management (4 papers) and Vitamin D Research Studies (3 papers). Yan Yun Liu is often cited by papers focused on Estrogen and related hormone effects (4 papers), Diabetes Treatment and Management (4 papers) and Vitamin D Research Studies (3 papers). Yan Yun Liu collaborates with scholars based in United States, Canada and Germany. Yan Yun Liu's co-authors include Gregory A. Brent, Sara Peleg, Anna Milanesi, Cuong V. Nguyen, Hardi Mundl, Robert G. Hart, Kiyomi Abe, Scott D. Berkowitz, Jianrong Li and Takahiko Kogai and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Yan Yun Liu

21 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Yun Liu United States 13 121 111 105 88 79 23 449
Kensei Taguchi Japan 15 253 2.1× 86 0.8× 75 0.7× 79 0.9× 81 1.0× 38 680
Lukáš Pácal Czechia 15 130 1.1× 103 0.9× 49 0.5× 34 0.4× 90 1.1× 33 546
Yutaka Kakizoe Japan 14 283 2.3× 126 1.1× 42 0.4× 110 1.3× 45 0.6× 49 555
Gulinuer Muteliefu Japan 8 186 1.5× 70 0.6× 36 0.3× 90 1.0× 33 0.4× 9 699
Christopher Hall United States 12 246 2.0× 51 0.5× 59 0.6× 49 0.6× 31 0.4× 25 510
Junna Yamaguchi Japan 11 213 1.8× 136 1.2× 85 0.8× 51 0.6× 22 0.3× 16 620
Faizah Bhatti United States 9 119 1.0× 154 1.4× 23 0.2× 93 1.1× 22 0.3× 17 539
Allison B. Lehtinen United States 13 158 1.3× 106 1.0× 49 0.5× 25 0.3× 31 0.4× 16 508
Lechu Yu China 15 388 3.2× 187 1.7× 97 0.9× 31 0.4× 55 0.7× 18 770
Norihisa Osawa Japan 10 128 1.1× 212 1.9× 47 0.4× 56 0.6× 27 0.3× 14 495

Countries citing papers authored by Yan Yun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Yun Liu. 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 Yan Yun Liu. The network helps show where Yan Yun Liu may publish in the future.

Co-authorship network of co-authors of Yan Yun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yun Liu. A scholar is included among the top collaborators of Yan Yun Liu 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 Yan Yun Liu. Yan Yun Liu 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
1.
McInnes, Natalia, Stephanie Hall, Heather Lochnan, et al.. (2023). Diabetes remission and relapse following an intensive metabolic intervention combining insulin glargine/lixisenatide, metformin and lifestyle approaches: Results of a randomised controlled trial. Diabetes Obesity and Metabolism. 25(11). 3347–3355. 8 indexed citations
2.
Abe, Kiyomi, Jianrong Li, Yan Yun Liu, & Gregory A. Brent. (2022). Thyroid Hormone–mediated Histone Modification Protects Cortical Neurons From the Toxic Effects of Hypoxic Injury. Journal of the Endocrine Society. 6(11). bvac139–bvac139. 6 indexed citations
3.
4.
Ke, Sujie, Yan Yun Liu, Rajendiran Karthikraj, et al.. (2021). Thyroid hormone receptor β sumoylation is required for thyrotropin regulation and thyroid hormone production. JCI Insight. 6(16). 12 indexed citations
5.
Džavík, Vladimír, John A. Cairns, Madhu K. Natarajan, et al.. (2021). Association of Thrombus Aspiration With Time and Mortality Among Patients With ST-Segment Elevation Myocardial Infarction. JAMA Network Open. 4(3). e213505–e213505. 8 indexed citations
6.
Shoamanesh, Ashkan, Robert G. Hart, Stuart J. Connolly, et al.. (2020). Microbleeds and the Effect of Anticoagulation in Patients With Embolic Stroke of Undetermined Source. JAMA Neurology. 78(1). 11–11. 28 indexed citations
7.
McInnes, Natalia, Stephanie Hall, Farah Sultan, et al.. (2020). Remission of Type 2 Diabetes Following a Short-term Intervention With Insulin Glargine, Metformin, and Dapagliflozin. The Journal of Clinical Endocrinology & Metabolism. 105(8). 2532–2540. 23 indexed citations
8.
Uchiyama, Shinichiro, Ḱazunori Toyoda, Kazuo Kitagawa, et al.. (2019). Branch atheromatous disease diagnosed as embolic stroke of undetermined source: A sub-analysis of NAVIGATE ESUS. International Journal of Stroke. 14(9). 915–922. 21 indexed citations
9.
Ntaios, George, Lesly A. Pearce, Elena Meseguer, et al.. (2019). Aortic Arch Atherosclerosis in Patients With Embolic Stroke of Undetermined Source. Stroke. 50(11). 3184–3190. 72 indexed citations
12.
Teng, Xiaochun, Yan Yun Liu, Weiping Teng, & Gregory A. Brent. (2017). COUP-TF1 Modulates Thyroid Hormone Action in an Embryonic Stem-Cell Model of Cortical Pyramidal Neuronal Differentiation. Thyroid. 28(5). 667–678. 9 indexed citations
13.
Liu, Yan Yun, et al.. (2015). Thyroid Hormone Receptor Sumoylation Is Required for Preadipocyte Differentiation and Proliferation. Journal of Biological Chemistry. 290(12). 7402–7415. 24 indexed citations
14.
Wong, Lindsay M., Andrea M. Burden, Yan Yun Liu, et al.. (2014). Initial uptake of the Ontario Pharmacy Smoking Cessation Program. Canadian Pharmacists Journal / Revue des Pharmaciens du Canada. 148(1). 29–40. 15 indexed citations
15.
Liu, Yan Yun, et al.. (2012). Thyroid Hormone Receptor Isoform-specific Modification by Small Ubiquitin-like Modifier (SUMO) Modulates Thyroid Hormone-dependent Gene Regulation. Journal of Biological Chemistry. 287(43). 36499–36508. 25 indexed citations
16.
Liu, Yan Yun, et al.. (2011). Thyroid Hormone and COUP-TF1 Regulate Kallikrein-Binding Protein (KBP) Gene Expression. Endocrinology. 152(3). 1143–1153. 7 indexed citations
17.
Liu, Yan Yun, et al.. (2002). Electron transfer oxidation of tryptophan and tyrosine by triplet states and oxidized radicals of flavin sensitizers: a laser flash photolysis study. Biochimica et Biophysica Acta (BBA) - General Subjects. 1571(1). 71–76. 60 indexed citations
18.
Liu, Yan Yun, Cuong V. Nguyen, & Sara Peleg. (2000). Regulation of Ligand-Induced Heterodimerization and Coactivator Interaction by the Activation Function-2 Domain of the Vitamin D Receptor. Molecular Endocrinology. 14(11). 1776–1787. 29 indexed citations
19.
Siu–Caldera, Mei-Ling, Jeffrey W. Clark, Sara Peleg, et al.. (1996). 1α,25-dihydroxy-24-oxo-16-ene vitamin D3, a metabolite of a synthetic vitamin D3 analog, 1α,25-dihydroxy-16-ene vitamin D3, is equipotent to its parent in modulating growth and differentiation of human leukemic cells. The Journal of Steroid Biochemistry and Molecular Biology. 59(5-6). 405–412. 28 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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