Fang Yong

546 total citations · 1 hit paper
19 papers, 269 citations indexed

About

Fang Yong is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Epidemiology. According to data from OpenAlex, Fang Yong has authored 19 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Fang Yong's work include Inflammatory Biomarkers in Disease Prognosis (3 papers), Reproductive biology and impacts on aquatic species (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Fang Yong is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (3 papers), Reproductive biology and impacts on aquatic species (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Fang Yong collaborates with scholars based in China and United Kingdom. Fang Yong's co-authors include Ying Liao, Lihua Liao, Yani Wang, Xueqin Lin, Shanshan Shi, Yukun Zhao, Kaihong Chen, Weiguo Li, Weihua Chen and Weiguo Li and has published in prestigious journals such as Cardiovascular Diabetology, Nutrition Metabolism and Cardiovascular Diseases and BMC Cardiovascular Disorders.

In The Last Decade

Fang Yong

19 papers receiving 262 citations

Hit Papers

align trajectories

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.

Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database

2023 88 citations Shanshan Shi, Weihua Chen et al. Cardiovascular Diabetology profile →

Peers

Fang Yong

EPIDE

EDM

CCM

NEPHR

SURGE

Yen‐Wei Li Taiwan

E. Andrikou Greece

Syed Mohsin Manzoor Pakistan

J. Otvos United States

Rongjiong Zheng China

Huilei Zhao China

H. Lehnert Germany

Najmusaqib Khan Niazi Pakistan

Paul Wadwa United States

Coimbatore Subramaniam Shanthirani India

Yen‐Wei Li Taiwan

Fang Yong

77 ×0.7

EPIDE

78 ×0.7

EDM

102 ×1.1

CCM

43 ×0.9

NEPHR

37 ×0.8

SURGE

Citations per year, relative to Fang Yong Fang Yong (= 1×) peers Yen‐Wei Li

Countries citing papers authored by Fang Yong

Since Specialization

Citations

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

Fields of papers citing papers by Fang Yong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yong

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

All Works

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19 of 19 papers shown

Wang, Yani, Lihua Liao, Qian Guo, et al.. (2024). The systemic inflammatory response index is associated with chronic kidney disease in patients with hypertension: data from the national health and nutrition examination study 1999–2018. Renal Failure. 46(2). 2396459–2396459. 5 indexed citations

Wang, Yani, et al.. (2024). The relationship between C-reactive protein/albumin ratio and mortality in hypertensive patients: A national cohort study. Nutrition Metabolism and Cardiovascular Diseases. 34(7). 1601–1609. 6 indexed citations

Lin, Xueqin, Yang Zhou, Yuwei Gao, et al.. (2023). Elevated urine albumin creatinine ratio increases cardiovascular mortality in coronary artery disease patients with or without type 2 diabetes mellitus: a multicenter retrospective study. Cardiovascular Diabetology. 22(1). 203–203. 11 indexed citations

Shi, Shanshan, Weihua Chen, Yani Wang, et al.. (2023). Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database. Cardiovascular Diabetology. 22(1). 10–10. 88 indexed citations breakdown →

Liao, Ying, Shanshan Shi, Yukun Zhao, et al.. (2022). Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients. Cardiovascular Diabetology. 21(1). 128–128. 80 indexed citations

Liao, Ying, Rongting Zhang, Shanshan Shi, et al.. (2022). Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting. BMC Cardiovascular Disorders. 22(1). 436–436. 5 indexed citations

Chen, Liling, Zhidong Huang, Weiguo Li, et al.. (2021). Malnutrition and the risk for contrast-induced acute kidney injury in patients with coronary artery disease. International Urology and Nephrology. 54(2). 429–435. 6 indexed citations

Liao, Ying, Kaihong Chen, Weiguo Li, et al.. (2018). Berberine inhibits cardiac remodeling of heart failure after myocardial infarction by reducing myocardial cell apoptosis in rats. Experimental and Therapeutic Medicine. 16(3). 2499–2505. 29 indexed citations

Yong, Fang, et al.. (2017). Neuroprotective effect of whole-plant extract of <i>Torilis leptophylla</i> in isoflurane-treated rats. Tropical Journal of Pharmaceutical Research. 15(12). 2571–2571. 2 indexed citations

10.

Liao, Ying, et al.. (2015). Elevated red blood cell distribution width in benign prostatic hyperplasia patients with metabolic syndrome.. PubMed. 8(1). 1213–9. 7 indexed citations

11.

Liao, Ying, et al.. (2014). Renal function, acute kidney injury and hospital mortality in patients with acute myocardial infarction. Journal of International Medical Research. 42(5). 1168–1177. 7 indexed citations

12.

Li, Xuebin, Ping Zhang, Ding Li, et al.. (2012). Reuse of infected cardiac rhythm management devices in the same individual. Journal of Interventional Cardiac Electrophysiology. 35(1). 109–114. 5 indexed citations

13.

Lu, Yu, Fang Yong, Qingqing Wang, & Hongming Pan. (2010). A retrospective-analysis of the correlation between diabetes mellitus and cancer. Zhonghua neifenmi daixie zazhi. 26(3). 183–187. 1 indexed citations

14.

Yong, Fang. (2003). Distribution of neurotransmitters and regulatory peptide immunoreactive substances in ovary of Crassostrea gigas. Journal of Oceanography in Taiwan Strait. 1 indexed citations

15.

Yong, Fang. (2001). DISTRIBUTION OF SEX STEROID HORMONES AND THEIR RECEPTORS IN THE GONADS AND NERVOUS SYSTEM OF AMPHIOXUS (BRANCHIOSTOMA BELCHERI). Dongwu xuebao. 2 indexed citations

16.

Yong, Fang. (2001). Introductive domestication and culture of turbot in Xiamen. Journal of Oceanography in Taiwan Strait. 2 indexed citations

17.

Yong, Fang. (1993). Immunocytochemical Localization of Fish Gonadotropin (GTH) in the Brain Vesicle and Hatschek's Pit of Amphioxus. 科学通报(英文版). 6 indexed citations

18.

Yong, Fang. (1993). Study on Correlation of Sex Steroid Hormone Level With Gonadal Development in Amphioxus. 科学通报(英文版). 2 indexed citations

19.

White, David, Fang Yong, & M W McKendrick. (1988). Haemolytic uraemic syndrome in adults. BMJ. 296(6626). 899–899. 4 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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