Li‐Ming Gan

2.6k total citations
71 papers, 1.8k citations indexed

About

Li‐Ming Gan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Li‐Ming Gan has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Li‐Ming Gan's work include Cardiovascular Function and Risk Factors (24 papers), Cardiac Imaging and Diagnostics (23 papers) and Cardiovascular Health and Disease Prevention (17 papers). Li‐Ming Gan is often cited by papers focused on Cardiovascular Function and Risk Factors (24 papers), Cardiac Imaging and Diagnostics (23 papers) and Cardiovascular Health and Disease Prevention (17 papers). Li‐Ming Gan collaborates with scholars based in Sweden, United States and Finland. Li‐Ming Gan's co-authors include Sara Svedlund, Lars H. Lund, Camilla Hage, Johannes Wikström, Göran Bergström, Sanjiv J. Shah, Elmir Ömerovic, Ann Wittfeldt, Erik Michaëlsson and Julia Grönros and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Li‐Ming Gan

64 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Ming Gan Sweden 27 1.3k 373 313 254 207 71 1.8k
Yuliy Y. Chirkov Australia 24 1.2k 0.9× 297 0.8× 239 0.8× 246 1.0× 485 2.3× 71 1.7k
Hidemichi Kouzu Japan 21 888 0.7× 263 0.7× 222 0.7× 536 2.1× 300 1.4× 93 1.7k
Niels Henrik Buus Denmark 24 1.0k 0.8× 322 0.9× 351 1.1× 296 1.2× 468 2.3× 96 2.0k
Izuru Masuda Japan 22 1.1k 0.8× 151 0.4× 350 1.1× 422 1.7× 167 0.8× 77 1.8k
Sylvie A. Ahn Belgium 21 1.1k 0.8× 215 0.6× 411 1.3× 250 1.0× 229 1.1× 75 1.9k
Juan Carlos Kaski United Kingdom 20 718 0.5× 375 1.0× 264 0.8× 258 1.0× 118 0.6× 35 1.3k
Luigi Gabrielli Chile 21 837 0.6× 211 0.6× 158 0.5× 405 1.6× 141 0.7× 87 1.5k
Aaron L. Sverdlov Australia 26 1.0k 0.8× 324 0.9× 229 0.7× 411 1.6× 465 2.2× 103 2.0k
Paola Gargiulo Italy 23 922 0.7× 264 0.7× 207 0.7× 241 0.9× 120 0.6× 73 1.6k
Kazuhiro Nakao Japan 20 949 0.7× 267 0.7× 407 1.3× 292 1.1× 224 1.1× 78 1.6k

Countries citing papers authored by Li‐Ming Gan

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ming Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Ming Gan. 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 Li‐Ming Gan. The network helps show where Li‐Ming Gan may publish in the future.

Co-authorship network of co-authors of Li‐Ming Gan

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

All Works

20 of 20 papers shown
1.
Pan, Jonathan A., A Löffler, Yang Yang, et al.. (2024). Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction. Frontiers in Cardiovascular Medicine. 11. 1334226–1334226. 3 indexed citations
2.
Liu, Yitong, Zhong-guo Fu, Junji Xu, et al.. (2024). GalNAc ‐Conjugated siRNA Targeting Complement C3 Inhibits Osteoclast Activation in Periodontitis. Oral Diseases. 31(2). 589–599.
3.
Gan, Li‐Ming, Yulang Chi, Yunhui Peng, et al.. (2024). Designing Analogs of SAAP-148 with Enhanced Antimicrobial and Anti-LPS Activities. International Journal of Molecular Sciences. 25(21). 11776–11776. 1 indexed citations
4.
Luo, Hai‐Bin, Sihao Zheng, Hailong Cao, et al.. (2024). Combination therapy with GalNAc-siRNA drugs targeting both PCSK9 and APOC3 resulted in enhanced lipid lowering in mice. European Heart Journal. 45(Supplement_1).
5.
Lam, Carolyn S.P., Lars H. Lund, Sanjiv J. Shah, et al.. (2023). Myeloperoxidase Inhibition in Heart Failure With Preserved or Mildly Reduced Ejection Fraction: SATELLITE Trial Results. Journal of Cardiac Failure. 30(1). 104–110. 38 indexed citations
6.
Rylance, Rebecca, et al.. (2023). Ticagrelor Treatment is Associated With Increased Coronary Flow Reserve in Survivors of Myocardial Infarction. Heart Lung and Circulation. 32(6). 702–708. 1 indexed citations
7.
Prescott, Eva, Oskar Angerås, David Erlinge, et al.. (2022). Safety and efficacy of the 5-lipoxygenase-activating protein inhibitor AZD5718 in patients with recent myocardial infarction: The phase 2a FLAVOUR study. International Journal of Cardiology. 365. 34–40. 8 indexed citations
8.
Chandramouli, Chanchal, Jasper Tromp, Anubha Agarwal, et al.. (2022). Sex differences in proteomic correlates of coronary microvascular dysfunction among patients with heart failure and preserved ejection fraction. European Journal of Heart Failure. 24(4). 681–684. 33 indexed citations
9.
Prescott, Eva, Oskar Angerås, David Erlinge, et al.. (2021). EFFICACY, SAFETY AND TOLERABILITY OF THE 5-LIPOXYGENASE-ACTIVATING PROTEIN INHIBITOR AZD5718 IN PATIENTS WITH RECENT MYOCARDIAL INFARCTION: A PHASE 2A STUDY (FLAVOUR). Journal of the American College of Cardiology. 77(18). 136–136. 1 indexed citations
10.
Wikström, Johannes, Yongqiang Liu, Carl Whatling, et al.. (2021). Diastolic dysfunction and impaired cardiac output reserve in dysmetabolic nonhuman primate with proteinuria. Journal of Diabetes and its Complications. 35(4). 107881–107881. 4 indexed citations
11.
Hedman, Åsa K., Camilla Hage, Anil Kumar Sharma, et al.. (2020). Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning. Heart. 106(5). 342–349. 92 indexed citations
12.
Löffler, A, Jonathan A. Pan, Pelbreton C. Balfour, et al.. (2019). Frequency of Coronary Microvascular Dysfunction and Diffuse Myocardial Fibrosis (Measured by Cardiovascular Magnetic Resonance) in Patients With Heart Failure and Preserved Left Ventricular Ejection Fraction. The American Journal of Cardiology. 124(10). 1584–1589. 37 indexed citations
13.
Ali, Anwar, et al.. (2018). Effects of pretreatment with cardiostimulants and beta-blockers on isoprenaline-induced takotsubo-like cardiac dysfunction in rats. International Journal of Cardiology. 281. 99–104. 22 indexed citations
14.
Michaëlsson, Erik, et al.. (2017). Determinants of coronary flow reserve in non-diabetic patients with chest pain without myocardial perfusion defects. PLoS ONE. 12(4). e0176511–e0176511. 4 indexed citations
15.
Grönros, Julia, Suvi E. Heinonen, Tasso Miliotis, et al.. (2015). Impaired Coronary and Renal Vascular Function in Spontaneously Type 2 Diabetic Leptin-Deficient Mice. PLoS ONE. 10(6). e0130648–e0130648. 21 indexed citations
16.
Redfors, Björn, et al.. (2014). Different catecholamines induce different patterns of takotsubo-like cardiac dysfunction in an apparently afterload dependent manner. International Journal of Cardiology. 174(2). 330–336. 73 indexed citations
17.
Gan, Li‐Ming, Johannes Wikström, & Regina Fritsche‐Danielson. (2013). Coronary Flow Reserve from Mouse to Man—from Mechanistic Understanding to Future Interventions. Journal of Cardiovascular Translational Research. 6(5). 715–728. 36 indexed citations
18.
Gan, Li‐Ming, Ann Wittfeldt, Håkan Emanuelsson, Sven Nylander, & Jenny Jonasson. (2012). ADENOSINE MAY MEDIATE TICAGRELOR-INDUCED DYSPNEA. Journal of the American College of Cardiology. 59(13). E344–E344. 1 indexed citations
19.
Caidahl, Kenneth, et al.. (2007). Imaging of Atherosclerosis in WHHL Rabbits Using High-Resolution Ultrasound. Ultrasound in Medicine & Biology. 33(5). 720–726. 6 indexed citations
20.
Wandt, Birger, et al.. (2005). Physical exercise capacity is associated with coronary and peripheral vascular function in healthy young adults. American Journal of Physiology-Heart and Circulatory Physiology. 289(4). H1627–H1634. 41 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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