Kang Yu

3.0k total citations
80 papers, 1.7k citations indexed

About

Kang Yu is a scholar working on Physiology, Nutrition and Dietetics and Surgery. According to data from OpenAlex, Kang Yu has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Physiology, 18 papers in Nutrition and Dietetics and 13 papers in Surgery. Recurrent topics in Kang Yu's work include Nutrition and Health in Aging (37 papers), Clinical Nutrition and Gastroenterology (13 papers) and Frailty in Older Adults (10 papers). Kang Yu is often cited by papers focused on Nutrition and Health in Aging (37 papers), Clinical Nutrition and Gastroenterology (13 papers) and Frailty in Older Adults (10 papers). Kang Yu collaborates with scholars based in China, United States and Denmark. Kang Yu's co-authors include Marie T. Nolan, Jie Bin, Jens Kondrup, Rongrong Li, Chunwei Li, Meiyun Ke, Shuqin Zhang, Xiucai Fang, Wenhui Li and Ke Chen and has published in prestigious journals such as Nucleic Acids Research, Blood and Nutrients.

In The Last Decade

Kang Yu

71 papers receiving 1.7k citations

Peers

Kang Yu

PHYSI

SURGE

CTM

Yoshito Zamami Japan

Andrea Manto Italy

Stefano Rizza Italy

Yi Huan China

Matilda Florentin Greece

Anna Gluba-Brzózka Poland

Payal Kohli United States

Michael S. Kostapanos Greece

Suk Chon South Korea

Beata Franczyk Poland

Yoshito Zamami Japan

Kang Yu

284 ×0.4

PHYSI

221 ×0.5

SURGE

70 ×0.2

450 ×1.2

50 ×0.2

CTM

Citations per year, relative to Kang Yu Kang Yu (= 1×) peers Yoshito Zamami

Countries citing papers authored by Kang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Yu. A scholar is included among the top collaborators of Kang 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 Kang Yu. Kang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guo, Di, Ying Deng, Huanhuan Luo, et al.. (2025). Cognitive function differs across healthy lifestyle behavior profiles: a 10-year population-based prospective cohort study. The journal of nutrition health & aging. 29(2). 100487–100487. 1 indexed citations

Lu, Weizhao, Xuan Wang, Yu An, et al.. (2025). Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice. Advanced Science. 12(30). e2405222–e2405222.

Yu, Kang, et al.. (2025). The Prognostic Value of Sarcopenia in Clinical Outcomes in Cervical Cancer: A Systematic Review and Meta‐Analysis. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13674–e13674. 1 indexed citations

Chen, Ming, Wei Wei, Yi Li, et al.. (2024). Cholestyramine alleviates bone and muscle loss in irritable bowel syndrome via regulating bile acid metabolism. Cell Proliferation. 57(8). e13638–e13638. 5 indexed citations

Wang, Qiong, et al.. (2024). Dietary vitamin K intake in relation to skeletal muscle mass and strength among adults: a cross-sectional study based on NHANES. Frontiers in Nutrition. 11. 1378853–1378853.

Rezaei, Khadijeh, Kang Yu, Sean Mathieson, et al.. (2024). Assessing the Effectiveness of Heart Rate Variability as A Diagnostic Tool for Brain Injuries in Infants. PubMed. 2024. 1–4.

Guo, Jiayu, Kang Yu, Chun‐Wei Li, et al.. (2024). The application of Chinese version of SARC-F and SARC-CalF in sarcopenia screening against five definitions: a diagnostic test accuracy study. BMC Geriatrics. 24(1). 883–883. 2 indexed citations

Wang, Fang, et al.. (2023). Malnutrition Defined by the Global Leadership Initiative on Malnutrition (GLIM) Criteria in Hospitalized Patients with Ulcerative Colitis and Its Association with Clinical Outcomes. Nutrients. 15(16). 3572–3572. 8 indexed citations

Luo, Lanfang, Taoyan Liu, Kun Liang, et al.. (2023). Muscle Injuries Induce a Prostacyclin‐PPARγ/PGC1a‐FAO Spike That Boosts Regeneration. Advanced Science. 10(21). e2301519–e2301519. 6 indexed citations

10.

Wang, Xuan, Rong Xiao, Huaguang Zheng, et al.. (2022). Correlation between Mild Cognitive Impairment and Sarcopenia: The Prospective Role of Lipids and Basal Metabolic Rate in the Link. Nutrients. 14(24). 5321–5321. 10 indexed citations

11.

Wang, Xuan, et al.. (2022). The role of dietary patterns and erythrocyte membrane fatty acid patterns on mild cognitive impairment. Frontiers in Nutrition. 9. 1005857–1005857. 2 indexed citations

12.

Shi, Xiaodong, Hua Jiang, Junren Kang, et al.. (2020). CMap analysis identifies Atractyloside as a potential drug candidate for type 2 diabetes based on integration of metabolomics and transcriptomics. Journal of Cellular and Molecular Medicine. 24(13). 7417–7426. 16 indexed citations

13.

Li, Wei, Fan Ping, Lingling Xu, et al.. (2020). The Effect of LM25 and LM50 on Hypoglycemia in Chinese T2DM Patients: Post Hoc Analysis of a Randomized Crossover Trial. Diabetes Therapy. 11(3). 643–654. 1 indexed citations

14.

Cui, Min, Kang Yu, & Chun‐Wei Li. (2018). Impact of sarcopenia on the risk of falls, osteoporosis, fractures, and all causes of death among elderly people: A Meta-analysis of prospective cohort studies. 26(5). 299–308. 1 indexed citations

15.

Yu, Kang, et al.. (2018). Synthesis, Characterization, and Antibacterial Activity of Rare Earth-Catechin Complexes. Acta Physico-Chimica Sinica. 34(5). 543–550. 5 indexed citations

16.

Ma, Jing, et al.. (2015). The relationship between body mass index, total body fat, body fat distribution, and dyslipidemia in the elderly. 23(3). 131–136. 3 indexed citations

17.

Wang, Yan, et al.. (2013). Impact of nutrition support on clinical outcomes for the patients with gastrointestinal disease at nutritional risk by Nutrition Risk Screening 2002 tool and the preliminary finding of cost-effectiveness analysis: a prospective cohort study for 275 patients. 21(6). 333–338. 1 indexed citations

18.

Zhou, Xiaorong, et al.. (2011). Effects of nutritional intervention and individualized nursing on nutritional risk, undernutrition, and quality of life in end-stage renal disease patients with peritoneal dialysis: a randomized controlled study. 19(4). 222–226. 2 indexed citations

19.

Liang, Xiaokun, Zhu‐ming Jiang, Kang Yu, et al.. (2009). Prevalences of nutritional risk,undernutrition-overweight,and obesity as well as nutritional support in hospitalized general surgical patients in Beijing teaching hospitals. 17(2). 75–78. 1 indexed citations

20.

Jung, Hye Seung, Young Min Cho, Kyung Won Kim, et al.. (2003). The Effects of Insulin Sensitizers on the Plasma Concentrations of Adipokines in Type 2 Diabetic Patients. Diabetes & Metabolism Journal. 27(6). 476–489. 2 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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