Zhen Yu

2.2k total citations · 1 hit paper
41 papers, 1.7k citations indexed

About

Zhen Yu is a scholar working on Physiology, Surgery and Geriatrics and Gerontology. According to data from OpenAlex, Zhen Yu has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 15 papers in Surgery and 10 papers in Geriatrics and Gerontology. Recurrent topics in Zhen Yu's work include Nutrition and Health in Aging (26 papers), Frailty in Older Adults (10 papers) and Gastric Cancer Management and Outcomes (9 papers). Zhen Yu is often cited by papers focused on Nutrition and Health in Aging (26 papers), Frailty in Older Adults (10 papers) and Gastric Cancer Management and Outcomes (9 papers). Zhen Yu collaborates with scholars based in China, United States and Sweden. Zhen Yu's co-authors include Cheng‐Le Zhuang, Xian Shen, Su-Lin Wang, Chong-Jun Zhou, Neng Lou, Dongdong Huang, Wenyang Pang, Liangliang Ma, Dongdong Huang and Xiao-Lei Chen and has published in prestigious journals such as Medicine, Cell Death and Disease and Annals of Surgical Oncology.

In The Last Decade

Zhen Yu

41 papers receiving 1.7k citations

Hit Papers

Sarcopenia is an Independent Predictor of Severe Postoper... 2016 2026 2019 2022 2016 100 200 300
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. Sarcopenia is an Independent Predictor of Severe Postoperative Complications and Long-Term Survival After Radical Gastrectomy for Gastric Cancer
    2016 362 citations Cheng‐Le Zhuang, Dongdong Huang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Yu China 21 1.3k 569 560 383 282 41 1.7k
Cheng‐Le Zhuang China 26 1.7k 1.3× 1.2k 2.1× 680 1.2× 605 1.6× 605 2.1× 61 2.6k
Koji Takai Japan 24 952 0.7× 217 0.4× 182 0.3× 108 0.3× 222 0.8× 75 2.1k
Peter Daneryd Sweden 13 899 0.7× 105 0.2× 125 0.2× 75 0.2× 190 0.7× 22 1.2k
J.-P. Bonjour Switzerland 13 456 0.3× 294 0.5× 116 0.2× 80 0.2× 134 0.5× 22 1.4k
Sakae Ohkawa Japan 13 545 0.4× 202 0.4× 92 0.2× 54 0.1× 30 0.1× 15 1.0k
Ryotaro Bouchi Japan 23 520 0.4× 801 1.4× 76 0.1× 89 0.2× 69 0.2× 67 2.0k
Edward Kiwanuka Italy 19 388 0.3× 127 0.2× 36 0.1× 178 0.5× 50 0.2× 32 852
K. Bennegård Sweden 19 730 0.6× 167 0.3× 33 0.1× 101 0.3× 43 0.2× 25 1.0k
Sung‐Jin Bae South Korea 14 367 0.3× 99 0.2× 57 0.1× 59 0.2× 52 0.2× 37 749
Takehiko Miyashita Japan 20 195 0.1× 240 0.4× 69 0.1× 132 0.3× 28 0.1× 49 1.2k

Countries citing papers authored by Zhen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Yu. A scholar is included among the top collaborators of Zhen 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 Zhen Yu. Zhen 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.
Zhang, Feng‐Min, Qiantong Dong, Zhen Yu, et al.. (2024). Characteristics and prognostic impact of cancer cachexia defined by the Asian Working Group for Cachexia consensus in patients with curable gastric cancer. Clinical Nutrition. 43(6). 1524–1531. 7 indexed citations
2.
Zhang, Feng‐Min, Kefan Wang, Dingye Yu, et al.. (2024). Transcriptome profiling of fast/glycolytic and slow/oxidative muscle fibers in aging and obesity. Cell Death and Disease. 15(6). 459–459. 13 indexed citations
3.
Wang, Rong, et al.. (2023). Effect of Nrf2 loss on senescence and cognition of tau-based P301S mice. GeroScience. 45(3). 1451–1469. 10 indexed citations
4.
5.
Zhang, Feng‐Min, Xian-Zhong Zhang, Xialin Yan, et al.. (2021). Impact of sarcopenia on clinical outcomes of patients with stage I gastric cancer after radical gastrectomy: A prospective cohort study. European Journal of Surgical Oncology. 48(3). 541–547. 15 indexed citations
6.
Zhuang, Cheng‐Le, Qiantong Dong, Hanping Shi, et al.. (2021). Cachexia Versus Sarcopenia in Clinical Characteristics and Prognostic Value After Radical Gastrectomy for Gastric Cancer: A Large-Scale Prospective Study. Annals of Surgical Oncology. 29(4). 2348–2358. 19 indexed citations
7.
8.
Zou, Hongbo, Xialin Yan, Dingye Yu, et al.. (2021). Sarcopenia is a predictive factor of poor quality of life and prognosis in patients after radical gastrectomy. European Journal of Surgical Oncology. 47(8). 1976–1984. 20 indexed citations
9.
10.
Zhang, Feng‐Min, Bingwei Ma, Yangyang Huang, et al.. (2019). Laparoscopic colorectal cancer surgery reduces the adverse impacts of sarcopenia on postoperative outcomes: a propensity score-matched analysis. Surgical Endoscopy. 34(10). 4582–4592. 11 indexed citations
11.
Zhuang, Cheng‐Le, Xian Shen, Yangyang Huang, et al.. (2019). Myosteatosis predicts prognosis after radical gastrectomy for gastric cancer: A propensity score–matched analysis from a large-scale cohort. Surgery. 166(3). 297–304. 65 indexed citations
12.
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14.
Huang, Dongdong, Yanbin Ji, Bo Li, et al.. (2017). Effect of surgery-induced acute muscle wasting on postoperative outcomes and quality of life. Journal of Surgical Research. 218. 58–66. 38 indexed citations
15.
Liu, Wenping & Zhen Yu. (2016). [Simulation on PM2.5 detention service of green space in Haidian District, Beijing, China.]. PubMed. 27(8). 2580–2586. 5 indexed citations
16.
Zhou, Chong-Jun, Feng‐Min Zhang, Feiyu Zhang, et al.. (2016). Sarcopenia: a new predictor of postoperative complications for elderly gastric cancer patients who underwent radical gastrectomy. Journal of Surgical Research. 211. 137–146. 60 indexed citations
17.
Zhou, Feng, et al.. (2016). Ginsenoside Rb1 protects the intestinal mucosal barrier following peritoneal air exposure. Experimental and Therapeutic Medicine. 12(4). 2563–2567. 8 indexed citations
18.
Huang, Dongdong, Xiaoxi Chen, Xiyi Chen, et al.. (2016). Sarcopenia predicts 1-year mortality in elderly patients undergoing curative gastrectomy for gastric cancer: a prospective study. Journal of Cancer Research and Clinical Oncology. 142(11). 2347–2356. 71 indexed citations
19.
Huang, Dongdong, Chong-Jun Zhou, Su-Lin Wang, et al.. (2016). Impact of different sarcopenia stages on the postoperative outcomes after radical gastrectomy for gastric cancer. Surgery. 161(3). 680–693. 104 indexed citations
20.
Zhuang, Cheng‐Le, Shu Liu, Weizhe Chen, et al.. (2014). Risk factors for postoperative fatigue after gastrointestinal surgery. Journal of Surgical Research. 194(1). 114–119. 17 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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