Sheng‐Fang Su

3.1k total citations
56 papers, 2.2k citations indexed

About

Sheng‐Fang Su is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Sheng‐Fang Su has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Sheng‐Fang Su's work include Epigenetics and DNA Methylation (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Sheng‐Fang Su is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Sheng‐Fang Su collaborates with scholars based in Taiwan, United States and China. Sheng‐Fang Su's co-authors include Tsung‐Ming Lee, Chang‐Her Tsai, Yi-Ting Huang, Yuan‐Teh Lee, Huei‐Wen Chen, Pan‐Chyr Yang, Jeremy J.W. Chen, Gangning Liang, Sung‐Liang Yu and Tsai‐Fwu Chou and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

Sheng‐Fang Su

52 papers receiving 2.2k citations

Peers

Sheng‐Fang Su

ONCOL

CCM

SURGE

John J. McGuire United States

Huiwen Zhang China

David Brown United Kingdom

Luigi Caimi Italy

Iman M. Ahmad United States

Xiaoping Chen China

Lina Wang China

Min Jung Kim South Korea

Bo Yang China

Beverly Lyn‐Cook United States

John J. McGuire United States

Sheng‐Fang Su

1.9k ×2.4

601 ×1.8

ONCOL

458 ×1.7

CCM

287 ×1.1

SURGE

244 ×1.0

Citations per year, relative to Sheng‐Fang Su Sheng‐Fang Su (= 1×) peers John J. McGuire

Countries citing papers authored by Sheng‐Fang Su

Since Specialization

Citations

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

Fields of papers citing papers by Sheng‐Fang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Fang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Fang Su. A scholar is included among the top collaborators of Sheng‐Fang 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 Sheng‐Fang Su. Sheng‐Fang Su 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

Lee, John Tayu, et al.. (2025). Evaluation of performance of generative large language models for stroke care. npj Digital Medicine. 8(1). 481–481. 2 indexed citations

Tsai, Yu‐Chieh, Chia‐Lang Hsu, Wei‐Chou Lin, et al.. (2023). Selective inhibition of HDAC6 promotes bladder cancer radiosensitization and mitigates the radiation-induced CXCL1 signalling. British Journal of Cancer. 128(9). 1753–1764. 15 indexed citations

Su, Sheng‐Fang, Chia-Hsin Liu, Chao‐Chi Ho, et al.. (2021). Genome-Wide Epigenetic Landscape of Lung Adenocarcinoma Links HOXB9 DNA Methylation to Intrinsic EGFR-TKI Resistance and Heterogeneous Responses. JCO Precision Oncology. 5(5). 418–431. 14 indexed citations

Ho, Chao‐Chi, Hao Ho, Sheng‐Fang Su, et al.. (2021). Tumor microenvironment-based screening repurposes drugs targeting cancer stem cells and cancer-associated fibroblasts. Theranostics. 11(19). 9667–9686. 26 indexed citations

Su, Sheng‐Fang, Hao Ho, Ming‐Fang Wu, et al.. (2021). DNA methylome and transcriptome landscapes of cancer-associated fibroblasts reveal a smoking-associated malignancy index. Journal of Clinical Investigation. 131(16). 11 indexed citations

Wu, Ming‐Fang, Hsiang‐Yuan Yeh, Sheng‐Fang Su, et al.. (2020). The M1/M2 spectrum and plasticity of malignant pleural effusion-macrophage in advanced lung cancer. Cancer Immunology Immunotherapy. 70(5). 1435–1450. 35 indexed citations

Su, Sheng‐Fang & Yueh‐Ying Han. (2020). How Taiwan, a non-WHO member, takes actions in response to COVID-19. Journal of Global Health. 10(1). 10380–10380. 20 indexed citations

Su, Sheng‐Fang, Andre Luis Abreu, Yoshitomo Chihara, et al.. (2014). A Panel of Three Markers Hyper- and Hypomethylated in Urine Sediments Accurately Predicts Bladder Cancer Recurrence. Clinical Cancer Research. 20(7). 1978–1989. 75 indexed citations

Su, Sheng‐Fang, Todd Riccobene, & Colin Scott. (2014). Lung deposition of inhaled colistimethate sodium in cystic fibrosis patients. European Respiratory Journal. 44(Suppl 58). P1975–P1975. 6 indexed citations

10.

Lay, Fides D., Timothy J. Triche, Yvonne Tsai, et al.. (2014). Reprogramming of the human intestinal epigenome by surgical tissue transposition. Genome Research. 24(4). 545–553. 14 indexed citations

11.

Carvalho, Daniel D. De, Shikhar Sharma, Jueng Soo You, et al.. (2012). DNA Methylation Screening Identifies Driver Epigenetic Events of Cancer Cell Survival. Cancer Cell. 21(5). 655–667. 214 indexed citations

12.

Chen, Po See, et al.. (2004). Correlation between scores on Continuous Performance Test and plasma concentration for schizophrenic patients on risperidone. Psychiatry and Clinical Neurosciences. 58(2). 168–172. 15 indexed citations

13.

Hsiu, Su‐Lan, et al.. (2002). Quercetin significantly decreased cyclosporin oral bioavailability in pigs and rats. Life Sciences. 72(3). 227–235. 88 indexed citations

14.

Su, Sheng‐Fang, et al.. (2002). Intestinal Metabolism and Absorption of Cholecystokinin Analogs in Rats. Biochemical and Biophysical Research Communications. 292(3). 632–638. 8 indexed citations

15.

Su, Sheng‐Fang, et al.. (2002). Possible degradative process of cholecystokinin analogs in rabbit jejunum brush-border membrane vesicles. Life Sciences. 72(1). 35–47. 2 indexed citations

16.

Su, Sheng‐Fang, et al.. (2001). Effect of pravastatin on myocardial protection during coronary angioplasty and the role of adenosine. The American Journal of Cardiology. 88(10). 1108–1113. 16 indexed citations

17.

Lee, Tsung‐Ming, et al.. (2000). Cardioprotective Effects of 17β-Estradiol Produced by Activation of Mitochondrial ATP-Sensitive K+Channels in Canine Hearts. Journal of Molecular and Cellular Cardiology. 32(7). 1147–1158. 88 indexed citations

18.

Schaner, Marci E., et al.. (1999). Functional Characterization of a Human Purine-Selective, Na+-Dependent Nucleoside Transporter (hSPNT1) in a Mammalian Expression System. Journal of Pharmacology and Experimental Therapeutics. 289(3). 1487–1491. 25 indexed citations

19.

Tsai, Chang‐Her, et al.. (1999). Regression of ventricular repolarisation inhomogeneity after aortic bileaflet valve replacement in patients with aortic stenosis. International Journal of Cardiology. 70(2). 141–148. 8 indexed citations

20.

Lee, Tsung‐Ming, Sheng‐Fang Su, Wen‐Jone Chen, et al.. (1998). Role of transesophageal echocardiography in the evaluation of patients with clinical pacemaker syndrome. American Heart Journal. 135(4). 634–640. 6 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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