Yongkang Su

590 total citations
19 papers, 291 citations indexed

About

Yongkang Su is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yongkang Su has authored 19 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yongkang Su's work include Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Yongkang Su is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Yongkang Su collaborates with scholars based in China and United States. Yongkang Su's co-authors include Qiligeer Bao, Anhang Zhang, Shuang Cai, Bokai Cheng, Shouyuan Ma, Shuxia Wang, Zhenhong Fu, Yang Jiao, Jin Sun and Man Li and has published in prestigious journals such as Frontiers in Physiology, Frontiers in Genetics and Cardiovascular Diabetology.

In The Last Decade

Yongkang Su

18 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongkang Su China 10 138 95 72 51 42 19 291
Huilei Zhao China 9 157 1.1× 143 1.5× 90 1.3× 32 0.6× 38 0.9× 16 342
Syed Mohsin Manzoor Pakistan 6 105 0.8× 194 2.0× 116 1.6× 33 0.6× 44 1.0× 12 330
Najmusaqib Khan Niazi Pakistan 3 101 0.7× 163 1.7× 111 1.5× 28 0.5× 24 0.6× 7 276
Rihua Huang China 10 151 1.1× 89 0.9× 59 0.8× 46 0.9× 16 0.4× 25 264
Qiligeer Bao China 8 94 0.7× 67 0.7× 52 0.7× 44 0.9× 33 0.8× 21 230
Bokai Cheng China 8 94 0.7× 67 0.7× 51 0.7× 44 0.9× 33 0.8× 16 228
Nagisa Morikawa Japan 11 83 0.6× 41 0.4× 52 0.7× 59 1.2× 25 0.6× 32 246
Rongjiong Zheng China 6 117 0.8× 159 1.7× 122 1.7× 21 0.4× 50 1.2× 12 315
Yifen Lin China 8 152 1.1× 81 0.9× 44 0.6× 25 0.5× 28 0.7× 29 245
Yulong Lan China 12 177 1.3× 197 2.1× 132 1.8× 38 0.7× 20 0.5× 32 378

Countries citing papers authored by Yongkang Su

Since Specialization
Citations

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

Fields of papers citing papers by Yongkang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongkang Su

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

All Works

19 of 19 papers shown
2.
Liu, Henan, Yongkang Su, Jian Shen, et al.. (2024). Improved Heart Function and Cardiac Remodelling Following Sacubitril/Valsartan in Acute Coronary Syndrome with HF. ESC Heart Failure. 11(2). 937–949. 6 indexed citations
3.
Li, Ying, Jian Shen, Xiaoling Hou, et al.. (2023). Geriatric nutritional risk index predicts all-cause mortality in the oldest-old patients with acute coronary syndrome: A 10-year cohort study. Frontiers in Nutrition. 10. 1129978–1129978. 13 indexed citations
4.
Lin, Chun, Youbin Liu, Yongkang Su, et al.. (2023). Catheter ablation vs. drug therapy in the treatment of atrial fibrillation patients with heart failure: An update meta-analysis for randomized controlled trials. Frontiers in Cardiovascular Medicine. 10. 1103567–1103567. 4 indexed citations
5.
Bao, Qiligeer, Yun Li, Shouyuan Ma, et al.. (2023). Hypertriglyceridemic waist phenotype is associated with left ventricular hypertrophy in Chinese hypertension patients. Journal of Clinical Hypertension. 25(2). 191–198. 3 indexed citations
6.
Shen, Jian, Bin Feng, Fan Li, et al.. (2023). Triglyceride glucose index predicts all-cause mortality in oldest-old patients with acute coronary syndrome and diabetes mellitus. BMC Geriatrics. 23(1). 78–78. 23 indexed citations
7.
Cai, Shuang, Bokai Cheng, Yun Li, et al.. (2023). Association of cognitive impairment and diabetes on survival in Chinese older people with hypertension: a 10-year prospective study. BMC Geriatrics. 23(1). 582–582. 2 indexed citations
8.
Jiao, Yang, Yongkang Su, Jian Shen, et al.. (2022). Evaluation of the long-term prognostic ability of triglyceride-glucose index for elderly acute coronary syndrome patients: a cohort study. Cardiovascular Diabetology. 21(1). 3–3. 49 indexed citations
9.
Cai, Shuang, Lin Zhou, Yue Zhang, et al.. (2022). Association of the Weight-Adjusted-Waist Index With Risk of All-Cause Mortality: A 10-Year Follow-Up Study. Frontiers in Nutrition. 9. 894686–894686. 60 indexed citations
10.
Cheng, Bokai, Yongkang Su, Man Li, et al.. (2022). The Potential Role of m6A RNA Methylation in the Aging Process and Aging-Associated Diseases. Frontiers in Genetics. 13. 869950–869950. 32 indexed citations
12.
Shen, Jian‐Ren, Ying Li, Yang Jiao, et al.. (2022). Wnt 3a Protects Myocardial Injury in Elderly Acute Myocardial Infarction by Inhibiting Serum Cystatin C/ROS-Induced Mitochondrial Damage. Frontiers in Physiology. 13. 950960–950960. 11 indexed citations
13.
Cai, Shuang, Jing Dong, Bokai Cheng, et al.. (2022). Relationship of a new anthropometric index with left ventricular hypertrophy in hypertensive patients among the Han Chinese. BMC Cardiovascular Disorders. 22(1). 16–16. 2 indexed citations
14.
Zhang, Anhang, Yingnan Li, Shouyuan Ma, et al.. (2022). Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up. BMC Geriatrics. 22(1). 971–971. 23 indexed citations
15.
Zhang, Anhang, Yupeng Liu, Shouyuan Ma, et al.. (2022). Effects of ankle-brachial index and brachial-ankle pulse wave velocity on all-cause mortality in a community-based elderly population. Frontiers in Cardiovascular Medicine. 9. 883651–883651. 5 indexed citations
16.
Cheng, Bokai, N. Lu, Ge Song, et al.. (2022). The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients. International Journal of Hypertension. 2022. 1–7. 2 indexed citations
17.
Sun, Jin, Yongkang Su, Man Li, et al.. (2021). Mediation effect of obesity on the association between triglyceride‐glucose index and hyperuricemia in Chinese hypertension adults. Journal of Clinical Hypertension. 24(1). 47–57. 16 indexed citations
18.
Su, Yongkang, Shuxia Wang, Yan Zhang, et al.. (2021). Triglyceride Glucose Index Associated With Arterial Stiffness in Chinese Community-Dwelling Elderly. Frontiers in Cardiovascular Medicine. 8. 737899–737899. 26 indexed citations
19.
Sun, Jin, Shuxia Wang, Man Li, et al.. (2021). The high normal ankle brachial index is associated with left ventricular hypertrophy in hypertension patients among the Han Chinese. Journal of Clinical Hypertension. 23(9). 1758–1766. 3 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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