Lianming Kang

478 total citations
29 papers, 294 citations indexed

About

Lianming Kang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Lianming Kang has authored 29 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Lianming Kang's work include Cardiomyopathy and Myosin Studies (20 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Structural Anomalies and Repair (6 papers). Lianming Kang is often cited by papers focused on Cardiomyopathy and Myosin Studies (20 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Structural Anomalies and Repair (6 papers). Lianming Kang collaborates with scholars based in China and United States. Lianming Kang's co-authors include Jizheng Wang, Lei Song, Yubao Zou, Rutai Hui, Jie Liu, Yilu Wang, Dong Wang, Shihua Zhao, Yuejin Yang and Shiqin Yu and has published in prestigious journals such as Radiology, International Journal of Molecular Sciences and Heart.

In The Last Decade

Lianming Kang

26 papers receiving 292 citations

Peers

Lianming Kang

CCM

SURGE

EPIDE

RNMI

Harriet Gordon United Kingdom

Hak Chiaw Tang Singapore

Silvia Passantino Italy

Katia Baldini Italy

Albree Tower‐Rader United States

Leena Sulaibeekh United Kingdom

Charlotte Andreasen Denmark

Kayo Hayato Japan

Virginia B. Hebl United States

Julia Münch Germany

Harriet Gordon United Kingdom

Lianming Kang

159 ×0.6

CCM

31 ×0.6

33 ×0.7

SURGE

42 ×1.0

EPIDE

18 ×0.7

RNMI

Citations per year, relative to Lianming Kang Lianming Kang (= 1×) peers Harriet Gordon

Countries citing papers authored by Lianming Kang

Since Specialization

Citations

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

Fields of papers citing papers by Lianming Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianming Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Lianming Kang. A scholar is included among the top collaborators of Lianming Kang 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 Lianming Kang. Lianming Kang 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

Zhang, Yu, Channa Zhang, Lianjun Xu, et al.. (2025). Assessment of Right Atrial Strain by Echocardiography for Predicting Prognosis in Hypertrophic Cardiomyopathy. JACC Asia. 5(8). 1078–1081.

Zhang, Yu, et al.. (2024). Role of Biomarkers of Myocardial Injury to Predict Adverse Outcomes in Hypertrophic Cardiomyopathy. Circulation Cardiovascular Quality and Outcomes. 17(2). e010243–e010243. 6 indexed citations

Liu, Jingying, Lianjun Xu, Xueyi Wu, et al.. (2024). Implications of primary bradycardia in patients with hypertrophic cardiomyopathy. Heart Rhythm. 22(11). 2917–2923.

Zhang, Yu, Ming‐Hao Liu, Mo Zhang, et al.. (2023). Different clinical characteristics and outcomes of hypertrophic cardiomyopathy with and without hypertension: seeking the truth. Journal of Geriatric Cardiology. 20(2). 109–120. 2 indexed citations

Zhang, Yu, Dong Wang, Lianjun Xu, et al.. (2023). Cardiac index: A superior parameter of cardiac function than left ventricular ejection fraction in risk stratification of hypertrophic cardiomyopathy. Heart Rhythm. 20(7). 958–967. 1 indexed citations

Liu, Jie, Dong Wang, Lianjun Xu, et al.. (2022). Identification of heart failure with preserved ejection fraction helps risk stratification for hypertrophic cardiomyopathy. BMC Medicine. 20(1). 21–21. 10 indexed citations

Liu, Jie, Channa Zhang, Lianming Kang, et al.. (2021). Variant Spectrum of Formin Homology 2 Domain‐Containing 3 Gene in Chinese Patients With Hypertrophic Cardiomyopathy. Journal of the American Heart Association. 10(5). e018236–e018236. 10 indexed citations

Liu, Jie, Shihua Zhao, Shiqin Yu, et al.. (2021). Patterns of Replacement Fibrosis in Hypertrophic Cardiomyopathy. Radiology. 302(2). 298–306. 39 indexed citations

Liu, Jie, Channa Zhang, Dong Wang, et al.. (2021). Truncating Variants in OBSCN Gene Associated With Disease-Onset and Outcomes of Hypertrophic Cardiomyopathy. Circulation Genomic and Precision Medicine. 14(5). e003401–e003401. 2 indexed citations

10.

Liu, Jie, Shiqin Yu, Limei Wang, et al.. (2021). Deleterious Rare Desmosomal Variants Contribute to Hypertrophic Cardiomyopathy and Are Associated With Distinctive Clinical Features. Canadian Journal of Cardiology. 38(1). 41–48. 10 indexed citations

11.

Liu, Jie, Shuiyun Wang, Shiqin Yu, et al.. (2020). N-terminal pro-brain natriuretic peptide and sudden cardiac death in hypertrophic cardiomyopathy. Heart. 107(19). 1576–1583. 24 indexed citations

12.

Liu, Jie, Ce Zhang, Dong Wang, et al.. (2020). Improvement in sudden cardiac death risk prediction by the enhanced American College of Cardiology/American Heart Association strategy in Chinese patients with hypertrophic cardiomyopathy. Heart Rhythm. 17(10). 1658–1663. 15 indexed citations

13.

Wang, Yilu, Yida Tang, Yubao Zou, et al.. (2017). Plasma level of big endothelin-1 predicts the prognosis in patients with hypertrophic cardiomyopathy. International Journal of Cardiology. 243. 283–289. 23 indexed citations

14.

Wang, Wei, Ling Zhu, Yilu Wang, et al.. (2017). Prognostic Significance of Fragmented QRS in Patients with Hypertrophic Cardiomyopathy. Cardiology. 138(1). 26–33. 10 indexed citations

15.

Li, Yan, Lianming Kang, Jian Zhang, et al.. (2014). Abnormalities of myocardial perfusion and glucose metabolism in patients with isolated left ventricular non-compaction. Journal of Nuclear Cardiology. 21(3). 633–642. 9 indexed citations

16.

Su, Ming, Jizheng Wang, Lianming Kang, et al.. (2014). Rare Variants in Genes Encoding MuRF1 and MuRF2 Are Modifiers of Hypertrophic Cardiomyopathy. International Journal of Molecular Sciences. 15(6). 9302–9313. 39 indexed citations

17.

Kang, Lianming, et al.. (2011). Mid-ventricular obstructive hypertrophic cardiomyopathy with apical aneurysm and sustained ventricular tachycardia: a case report and literature review.. PubMed. 124(11). 1754–7. 13 indexed citations

18.

Zhang, Yuhui, et al.. (2009). [Association of serum uric acid, plasma NT-proBNP, Hs-C reactive protein and invasive hemodynamic parameters in patients with heart failure].. PubMed. 37(2). 126–9. 4 indexed citations

19.

Wei, Bing-qi, Yuejin Yang, Jian Zhang, et al.. (2009). [Predictive value of admission amino-terminal pro-B-type natriuretic peptide on in-hospital mortality in patients with decompensated heart failure].. PubMed. 37(6). 481–5. 3 indexed citations

20.

Zhao, Jinglin, et al.. (2006). Nicorandil reduces myocardial no-reflow by protection of endothelial function via the activation of KATP channel. Clinica Chimica Acta. 374(1-2). 100–105. 18 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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