Na Yu

1.5k total citations
53 papers, 1.1k citations indexed

About

Na Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Na Yu has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Molecular Biology and 14 papers in Surgery. Recurrent topics in Na Yu's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Adipose Tissue and Metabolism (11 papers) and Thyroid and Parathyroid Surgery (9 papers). Na Yu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Adipose Tissue and Metabolism (11 papers) and Thyroid and Parathyroid Surgery (9 papers). Na Yu collaborates with scholars based in China, United States and Canada. Na Yu's co-authors include Fangfang Mo, Gao S, Dongwei Zhang, Yuting Ruan, Jia Sun, Guangjian Jiang, Dandan Zhao, Qianqian Mu, Xiaoyan Gao and Hong‐Wen Deng and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Na Yu

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Yu China 20 472 306 207 146 107 53 1.1k
Hamid Zand Iran 23 463 1.0× 342 1.1× 142 0.7× 204 1.4× 125 1.2× 62 1.4k
Fangfang Mo China 25 838 1.8× 298 1.0× 196 0.9× 127 0.9× 176 1.6× 52 1.5k
Qiren Huang China 24 678 1.4× 220 0.7× 191 0.9× 77 0.5× 80 0.7× 71 1.3k
Raffaele Simeoli Italy 20 482 1.0× 396 1.3× 239 1.2× 133 0.9× 107 1.0× 39 1.4k
Dan Liao China 21 405 0.9× 196 0.6× 123 0.6× 140 1.0× 139 1.3× 55 1.4k
Gonzalo Álba Spain 16 374 0.8× 234 0.8× 174 0.8× 112 0.8× 92 0.9× 36 1.0k
Mohammad Reza Alipour Iran 21 391 0.8× 272 0.9× 175 0.8× 148 1.0× 221 2.1× 112 1.4k
Sattar Gorgani‐Firuzjaee Iran 16 345 0.7× 224 0.7× 239 1.2× 163 1.1× 67 0.6× 39 965
Antonella Desiderio Italy 14 418 0.9× 442 1.4× 388 1.9× 153 1.0× 90 0.8× 21 1.2k
Theresa V. Rohm Switzerland 11 430 0.9× 351 1.1× 362 1.7× 234 1.6× 63 0.6× 20 1.4k

Countries citing papers authored by Na Yu

Since Specialization
Citations

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

Fields of papers citing papers by Na Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Na Yu. A scholar is included among the top collaborators of Na Yu 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 Na Yu. Na Yu 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.
2.
Yu, Na, et al.. (2025). Comparison of US-guided thermal ablation and surgery for papillary thyroid cancer: a systematic review and meta-analysis. International Journal of Hyperthermia. 42(1). 2464206–2464206. 1 indexed citations
3.
He, Junfeng, Ying Zhou, Songsong Wu, et al.. (2025). Efficacy, safety, and risk factors of thermal ablation for follicular thyroid neoplasms: a multicentric study. Endocrine. 89(1). 125–136.
4.
Shi, Wanying, Zhenlong Zhao, Ying Wei, et al.. (2024). Investigating the optimal maximum diameter of benign thyroid nodules for thermal ablation on the basis of complete disappearance rate. International Journal of Hyperthermia. 41(1). 2408374–2408374. 1 indexed citations
5.
Zhao, Han, Ying Wei, Zhenlong Zhao, et al.. (2024). Clinical outcomes of microwave ablation for solitary T1N0M0 papillary thyroid carcinoma: a more than 5-year follow-up study. European Radiology. 35(3). 1714–1722. 1 indexed citations
6.
7.
Yu, Na, Yuxin Wang, Bin Zhou, et al.. (2022). The Association of Plasma Trimethylamine N-Oxide with Coronary Atherosclerotic Burden in Patients with Type 2 Diabetes Among a Chinese North Population. Diabetes Metabolic Syndrome and Obesity. Volume 15. 69–78. 8 indexed citations
8.
Zhao, Dandan, Na Yu, Ying Bai, et al.. (2021). Curcumin improves adipocytes browning and mitochondrial function in 3T3-L1 cells and obese rodent model. Royal Society Open Science. 8(3). 200974–200974. 27 indexed citations
9.
Bai, Ying, Jiacheng Zuo, Xin Fang, et al.. (2021). Protective Effect of Jiang Tang Xiao Ke Granules against Skeletal Muscle IR via Activation of the AMPK/SIRT1/PGC‐1α Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2021(1). 5566053–5566053. 10 indexed citations
10.
Dong, Yuesheng, Na Yu, Xia Li, et al.. (2020). Dietary 5,6,7-Trihydroxy-flavonoid Aglycones and 1-Deoxynojirimycin Synergistically Inhibit the Recombinant Maltase–Glucoamylase Subunit of α-Glucosidase and Lower Postprandial Blood Glucose. Journal of Agricultural and Food Chemistry. 68(33). 8774–8787. 24 indexed citations
11.
Zhang, Bowei, Yuesheng Dong, Na Yu, et al.. (2019). Intestinal metabolism of baicalein after oral administration in mice: Pharmacokinetics and mechanisms. Journal of Functional Foods. 54. 53–63. 26 indexed citations
12.
An, Tian, Hui Fan, Yu Jeffrey Gu, et al.. (2017). The difference in expression of long noncoding RNAs in rat semen induced by high-fat diet was associated with metabolic pathways. PeerJ. 5. e3518–e3518. 7 indexed citations
13.
Zhang, Yi, An Hong, Si-Yuan Pan, et al.. (2016). Jiang Tang Xiao Ke Granule, a Classic Chinese Herbal Formula, Improves the Effect of Metformin on Lipid and Glucose Metabolism in Diabetic Mice. Evidence-based Complementary and Alternative Medicine. 2016(1). 1592731–1592731. 11 indexed citations
14.
Guo, Yubo, Lili Wang, Rufeng Ma, et al.. (2016). JiangTang XiaoKe granule attenuates cathepsin K expression and improves IGF-1 expression in the bone of high fat diet induced KK-Ay diabetic mice. Life Sciences. 148. 24–30. 50 indexed citations
15.
Jiang, Guangjian, Teng Zhang, Tian An, et al.. (2016). Differential Expression of Long Noncoding RNAs between Sperm Samples from Diabetic and Non-Diabetic Mice. PLoS ONE. 11(4). e0154028–e0154028. 25 indexed citations
16.
Mu, Qianqian, Xin Fang, Xiaoke Li, et al.. (2015). Ginsenoside Rb1 promotes browning through regulation of PPARγ in 3T3-L1 adipocytes. Biochemical and Biophysical Research Communications. 466(3). 530–535. 92 indexed citations
17.
18.
Deng, Fei‐Yan, Wei Zhu, Yong Zeng, et al.. (2014). Is GSN significant for hip BMD in female Caucasians?. Bone. 63. 69–75. 19 indexed citations
19.
Guo, Yan, Tie‐Lin Yang, Hui Shen, et al.. (2011). Mitochondria-Wide Association Study of Common Variants in Osteoporosis. Annals of Human Genetics. 75(5). 569–574. 35 indexed citations
20.
Liu, Yong‐Jun, Lishu Zhang, Yu‐Fang Pei, et al.. (2010). Biological Pathway‐Based Genome‐Wide Association Analysis Identified the Vasoactive Intestinal Peptide (VIP) Pathway Important for Obesity. Obesity. 18(12). 2339–2346. 50 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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