Yaohui Nie

1.3k total citations
28 papers, 965 citations indexed

About

Yaohui Nie is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Yaohui Nie has authored 28 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Yaohui Nie's work include Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Yaohui Nie is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Yaohui Nie collaborates with scholars based in United States, China and Japan. Yaohui Nie's co-authors include Shihuan Kuang, Chao Wang, Feng Yue, Timothy P. Gavin, Haiyan Xu, Bin Feng, Timothy P. Gavin, Ping Jiao, Yoriko Sato and Thomas Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yaohui Nie

28 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaohui Nie United States 19 587 343 205 165 95 28 965
Stéphanie Miard Canada 16 679 1.2× 470 1.4× 235 1.1× 237 1.4× 54 0.6× 26 1.1k
Feng Yue United States 20 1.0k 1.7× 594 1.7× 245 1.2× 221 1.3× 63 0.7× 44 1.5k
Ian S. Patten United States 13 519 0.9× 331 1.0× 177 0.9× 91 0.6× 224 2.4× 20 1.1k
Jiyoon Ryu United States 15 613 1.0× 253 0.7× 316 1.5× 82 0.5× 165 1.7× 19 1.1k
Chintan K. Kikani United States 12 548 0.9× 377 1.1× 496 2.4× 80 0.5× 98 1.0× 18 1.1k
Caroline O’Neil Canada 19 557 0.9× 233 0.7× 240 1.2× 149 0.9× 145 1.5× 33 1.3k
Addolorata Pisconti United States 17 819 1.4× 396 1.2× 112 0.5× 87 0.5× 110 1.2× 28 1.3k
Verónica Jiménez Spain 19 646 1.1× 336 1.0× 150 0.7× 199 1.2× 97 1.0× 31 1.2k
Roberta Buono Italy 12 523 0.9× 513 1.5× 103 0.5× 130 0.8× 90 0.9× 33 1.2k
Shephali Bhatnagar United States 19 1.2k 2.1× 525 1.5× 177 0.9× 326 2.0× 81 0.9× 23 1.7k

Countries citing papers authored by Yaohui Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yaohui Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaohui Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yaohui Nie. A scholar is included among the top collaborators of Yaohui Nie 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 Yaohui Nie. Yaohui Nie 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.
Jia, Zhihao, B. Patrick Sullivan, Kun Ho Kim, et al.. (2023). Angiogenic potential of skeletal muscle derived extracellular vesicles differs between oxidative and glycolytic muscle tissue in mice. Scientific Reports. 13(1). 18943–18943. 6 indexed citations
2.
Nie, Yaohui, et al.. (2022). Effects of obesity and acute resistance exercise on skeletal muscle angiogenic communication pathways. Experimental Physiology. 107(8). 906–918. 7 indexed citations
3.
Du, Wen, Yaohui Nie, Takumi Kitamoto, et al.. (2022). Single-agent FOXO1 inhibition normalizes glycemia and induces gut β-like cells in streptozotocin-diabetic mice. Molecular Metabolism. 66. 101618–101618. 5 indexed citations
5.
Sullivan, B. Patrick, et al.. (2020). Skeletal muscle IGF-1 is lower at rest and after resistance exercise in humans with obesity. European Journal of Applied Physiology. 120(12). 2835–2846. 18 indexed citations
6.
Wang, Chao, Justine Arrington, Jingjuan Chen, et al.. (2019). Methyltransferase-like 21c methylates and stabilizes the heat shock protein Hspa8 in type I myofibers in mice. Journal of Biological Chemistry. 294(37). 13718–13728. 25 indexed citations
7.
Jia, Zhihao, Yaohui Nie, Feng Yue, et al.. (2019). A requirement of Polo-like kinase 1 in murine embryonic myogenesis and adult muscle regeneration. eLife. 8. 11 indexed citations
8.
Wang, Chao, Bin Zhang, Jingjuan Chen, et al.. (2019). Methyltransferase‐like 21e inhibits 26S proteasome activity to facilitate hypertrophy of type IIb myofibers. The FASEB Journal. 33(8). 9672–9684. 10 indexed citations
9.
Nie, Yaohui, et al.. (2019). Effects of acute aerobic and concurrent exercise on skeletal muscle metabolic enzymes in untrained men. Sport Sciences for Health. 15(2). 417–426. 1 indexed citations
10.
Nie, Yaohui, et al.. (2019). Nanosecond pulsed electric field induced proliferation and differentiation of osteoblasts and myoblasts. Journal of The Royal Society Interface. 16(155). 20190079–20190079. 29 indexed citations
11.
Lawan, Ahmed, Kisuk Min, Lei Zhang, et al.. (2018). Skeletal Muscle–Specific Deletion of MKP-1 Reveals a p38 MAPK/JNK/Akt Signaling Node That Regulates Obesity-Induced Insulin Resistance. Diabetes. 67(4). 624–635. 67 indexed citations
12.
Yue, Feng, Pengpeng Bi, Chao Wang, et al.. (2017). Pten is necessary for the quiescence and maintenance of adult muscle stem cells. Nature Communications. 8(1). 14328–14328. 90 indexed citations
13.
Wang, Chao, Weiyi Liu, Yaohui Nie, et al.. (2017). Loss of MyoD Promotes Fate Transdifferentiation of Myoblasts Into Brown Adipocytes. EBioMedicine. 16. 212–223. 62 indexed citations
14.
Wang, Chao, Min Wang, Justine Arrington, et al.. (2016). Ascl2 inhibits myogenesis by antagonizing the transcriptional activity of myogenic regulatory factors. Development. 144(2). 235–247. 16 indexed citations
15.
Kim, Kyoungrae, Yaohui Nie, Brett J. Wong, et al.. (2016). Heat therapy promotes the expression of angiogenic regulators in human skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 311(2). R377–R391. 45 indexed citations
16.
Nie, Yaohui, Timothy P. Gavin, & Shihuan Kuang. (2015). Measurement of Resting Energy Metabolism in Mice Using Oxymax Open Circuit Indirect Calorimeter. BIO-PROTOCOL. 5(18). 24 indexed citations
17.
Nie, Yaohui, Ronald C.W., Juliana C.N. Chan, Haiyan Xu, & Gang Xu. (2012). Glucose‐dependent insulinotropic peptide impairs insulin signaling via inducing adipocyte inflammation in glucose‐dependent insulinotropic peptide receptor‐overexpressing adipocytes. The FASEB Journal. 26(6). 2383–2393. 46 indexed citations
18.
Feng, Bin, Ping Jiao, Yaohui Nie, et al.. (2011). Clodronate Liposomes Improve Metabolic Profile and Reduce Visceral Adipose Macrophage Content in Diet-Induced Obese Mice. PLoS ONE. 6(9). e24358–e24358. 114 indexed citations
19.
Wu, Zhidan, Ping Jiao, Xueming Huang, et al.. (2010). MAPK phosphatase–3 promotes hepatic gluconeogenesis through dephosphorylation of forkhead box O1 in mice. Journal of Clinical Investigation. 120(11). 3901–3911. 81 indexed citations
20.
Nie, Yaohui & Chi‐Wai Wong. (2008). Suppressing the activity of ERRα in 3T3‐L1 adipocytes reduces mitochondrial biogenesis but enhances glycolysis and basal glucose uptake. Journal of Cellular and Molecular Medicine. 13(9b). 3051–3060. 24 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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