Xing Yu

3.2k total citations · 1 hit paper
39 papers, 2.6k citations indexed

About

Xing Yu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Xing Yu has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pathology and Forensic Medicine and 11 papers in Surgery. Recurrent topics in Xing Yu's work include Spine and Intervertebral Disc Pathology (10 papers), Adipose Tissue and Metabolism (7 papers) and Musculoskeletal pain and rehabilitation (6 papers). Xing Yu is often cited by papers focused on Spine and Intervertebral Disc Pathology (10 papers), Adipose Tissue and Metabolism (7 papers) and Musculoskeletal pain and rehabilitation (6 papers). Xing Yu collaborates with scholars based in China and United States. Xing Yu's co-authors include Brett P. Monia, Sanjay Bhanot, Kanji Yamaguchi, Shannon J. McCall, Jiawen Huang, Yin-xiong Li, Anna Mae Diehl, Liu Yang, Sanjay Pandey and Sanjay K. Pandey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Xing Yu

38 papers receiving 2.6k citations

Hit Papers

Inhibiting triglyceride synthesis improves hepatic steato... 2007 2026 2013 2019 2007 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitis
    2007 805 citations Kanji Yamaguchi, Liu Yang et al. Hepatology profile →

Peers

Xing Yu
Janet D. Sparks United States
Jiawen Huang China
Marthe Moldes France
Sara A. Beddow United States
Eva Morán‐Salvador Spain
Masahiko Igarashi Japan
Katsumi Iizuka Japan
Archana Vijayakumar United States
Banumathi K. Cole United States
Bibiana Rius Spain
Janet D. Sparks United States
Xing Yu
Citations per year, relative to Xing Yu Xing Yu (= 1×) peers Janet D. Sparks

Countries citing papers authored by Xing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Yu. A scholar is included among the top collaborators of Xing 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 Xing Yu. Xing 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.
Song, Jiawei, et al.. (2025). Effects of dynamic stabilization and fusion on postoperative paraspinal muscle degeneration and lumbar function recovery. Journal of Orthopaedic Surgery and Research. 20(1). 552–552. 1 indexed citations
2.
Li, Wenhao, Xing Yu, Yajun Ma, et al.. (2024). Application of MRI imaging parameters in lumbar spine diseases: a review of the literature. Clinical Radiology. 80. 106702–106702.
3.
Duan, Lijun, et al.. (2023). High‐fat diet aggravates the severity of the in vitro posttraumatic osteoarthritis model through macrophagic FBW7. Immunity Inflammation and Disease. 11(9). e988–e988. 2 indexed citations
4.
5.
Liu, Tao, et al.. (2023). Biomechanical and clinical research of Isobar semi-rigid stabilization devices for lumbar degenerative diseases: a systematic review. BioMedical Engineering OnLine. 22(1). 95–95. 7 indexed citations
6.
Li, Wenhao, et al.. (2023). Does vertebral osteoporosis delay or accelerate lumbar disc degeneration? A systematic review. Osteoporosis International. 34(12). 1983–2002. 11 indexed citations
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9.
Zhou, Nan, Mengxiang Chen, Guoqun Li, et al.. (2022). Assess transmissibility of different influenza subtypes: Based on a SEIABR model. Infection Genetics and Evolution. 103. 105319–105319. 3 indexed citations
10.
Yu, Xing, et al.. (2018). Is the Wedged Insole an Effective Treatment Option When Compared with a Flat (Placebo) Insole: A Systematic Review and Meta‐Analysis. Evidence-based Complementary and Alternative Medicine. 2018(1). 8654107–8654107. 12 indexed citations
11.
Lieberman, Andrew P., Zhigang Yu, Sue Murray, et al.. (2014). Peripheral Androgen Receptor Gene Suppression Rescues Disease in Mouse Models of Spinal and Bulbar Muscular Atrophy. Cell Reports. 7(3). 774–784. 128 indexed citations
12.
Yu, Xing, Lynnetta M. Watts, Vara Prasad Manchem, et al.. (2013). Peripheral Reduction of FGFR4 with Antisense Oligonucleotides Increases Metabolic Rate and Lowers Adiposity in Diet-Induced Obese Mice. PLoS ONE. 8(7). e66923–e66923. 25 indexed citations
13.
Yu, Xing. (2012). Experiences of Professor TONG Guang-dong in Treating Nonalcoholic Fatty Liver Disease. Liaoning Zhongyiyao Daxue xuebao. 1 indexed citations
14.
Yu, Xing. (2011). Analysis of the uncertainty for the determination of iron in lubricating oil by atomic absorption spectrometry. 1 indexed citations
15.
Yu, Xing, Susan F. Murray, Lynnetta M. Watts, et al.. (2008). Reduction of JNK1 expression with antisense oligonucleotide improves adiposity in obese mice. American Journal of Physiology-Endocrinology and Metabolism. 295(2). E436–E445. 27 indexed citations
16.
Yu, Xing, Sanjay K. Pandey, Sheri Booten, et al.. (2008). Reduced adiposity and improved insulin sensitivity in obese mice with antisense suppression of 4E-BP2 expression. American Journal of Physiology-Endocrinology and Metabolism. 294(3). E530–E539. 15 indexed citations
17.
Yamaguchi, Kanji, Liu Yang, Shannon J. McCall, et al.. (2007). Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitis. Hepatology. 45(6). 1366–1374. 805 indexed citations breakdown →
18.
Choi, Cheol Soo, David B. Savage, Ameya Kulkarni, et al.. (2007). Suppression of Diacylglycerol Acyltransferase-2 (DGAT2), but Not DGAT1, with Antisense Oligonucleotides Reverses Diet-induced Hepatic Steatosis and Insulin Resistance. Journal of Biological Chemistry. 282(31). 22678–22688. 312 indexed citations
19.
Fu, Ling, Linu M. John, Sean H. Adams, et al.. (2004). Fibroblast Growth Factor 19 Increases Metabolic Rate and Reverses Dietary and Leptin-Deficient Diabetes. Endocrinology. 145(6). 2594–2603. 481 indexed citations
20.
Yu, Xing, J.K. Drackley, Jack Odle, & Xi Lin. (1997). Response of Hepatic Mitochondrial and Peroxisomal β-Oxidation to Increasing Palmitate Concentrations in Piglets. Neonatology. 72(5). 284–292. 13 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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