Min‐Chi Ku

1.1k total citations
35 papers, 830 citations indexed

About

Min‐Chi Ku is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Min‐Chi Ku has authored 35 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Neurology. Recurrent topics in Min‐Chi Ku's work include Advanced MRI Techniques and Applications (15 papers), MRI in cancer diagnosis (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Min‐Chi Ku is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), MRI in cancer diagnosis (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Min‐Chi Ku collaborates with scholars based in Germany, United States and France. Min‐Chi Ku's co-authors include Thoralf Niendorf, Jia‐Yi Wang, Ya‐Ni Huang, Andreas Pohlmann, Helmut Kettenmann, Susanne A. Wolf, Sonia Waiczies, Michael Synowitz, Helmar Waiczies and Seija Lehnardt and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Min‐Chi Ku

32 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Chi Ku Germany 14 254 252 229 169 102 35 830
János Haskó Hungary 17 306 1.2× 150 0.6× 390 1.7× 137 0.8× 31 0.3× 23 1.1k
Rackele Ferreira do Amaral Brazil 12 342 1.3× 179 0.7× 415 1.8× 98 0.6× 20 0.2× 13 997
Diana Matias Brazil 17 396 1.6× 214 0.8× 496 2.2× 253 1.5× 31 0.3× 31 1.3k
Bartłomiej Gielniewski Poland 15 399 1.6× 253 1.0× 326 1.4× 106 0.6× 25 0.2× 34 934
Csilla Fazakas Hungary 18 437 1.7× 182 0.7× 526 2.3× 155 0.9× 37 0.4× 40 1.4k
Fabienne Glacial France 12 497 2.0× 82 0.3× 486 2.1× 51 0.3× 132 1.3× 13 1.2k
Ethan Poteet United States 14 166 0.7× 80 0.3× 411 1.8× 78 0.5× 33 0.3× 19 933
Md Nabiul Hasan United States 14 181 0.7× 129 0.5× 232 1.0× 86 0.5× 10 0.1× 17 596
Carmen Mecca Italy 12 320 1.3× 158 0.6× 249 1.1× 42 0.2× 11 0.1× 14 691
Ricardo Gargini Spain 22 104 0.4× 120 0.5× 696 3.0× 152 0.9× 25 0.2× 46 1.3k

Countries citing papers authored by Min‐Chi Ku

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Chi Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Chi Ku. 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 Min‐Chi Ku. The network helps show where Min‐Chi Ku may publish in the future.

Co-authorship network of co-authors of Min‐Chi Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Chi Ku. A scholar is included among the top collaborators of Min‐Chi Ku 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 Min‐Chi Ku. Min‐Chi Ku 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.
Chen, Shi, et al.. (2025). Fractional anisotropy as a diffusion CMR derived metric for early remodeling in hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 27. 101315–101315. 1 indexed citations
2.
Liu, Siqin, et al.. (2025). Cardiac MRI Strain as an Early Indicator of Myocardial Dysfunction in Hypertrophic Cardiomyopathy. International Journal of Molecular Sciences. 26(4). 1407–1407. 2 indexed citations
3.
Yang, Chia-Chi, Li‐Ting Huang, Chang Gao, et al.. (2024). Reliable Off-Resonance Correction in High-Field Cardiac MRI Using Autonomous Cardiac B0 Segmentation with Dual-Modality Deep Neural Networks. Bioengineering. 11(3). 210–210. 3 indexed citations
4.
Pohlmann, Andreas, et al.. (2024). Full cardiac cycle coverage T2* mapping detects early myocardial changes in hypertrophic cardiomyopathy. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
5.
Ku, Min‐Chi, Frank Kober, Andreas Pohlmann, et al.. (2021). Cardiovascular magnetic resonance detects microvascular dysfunction in a mouse model of hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 23(1). 63–63. 3 indexed citations
6.
Chuang, Kai‐Hsiang, Martin Meier, María A. Fernández‐Seara, Frank Kober, & Min‐Chi Ku. (2021). Renal Blood Flow Using Arterial Spin Labeling (ASL) MRI: Experimental Protocol and Principles. Methods in molecular biology. 2216. 443–453. 1 indexed citations
7.
Ku, Min‐Chi, Adrian Schreiber, Philipp Boehm‐Sturm, et al.. (2021). Fluorine (19F) MRI for Assessing Inflammatory Cells in the Kidney: Experimental Protocol. Methods in molecular biology. 2216. 495–507. 1 indexed citations
8.
Pohlmann, Andreas, Susan J. Back, Andrea Fekete, et al.. (2021). Recommendations for Preclinical Renal MRI: A Comprehensive Open-Access Protocol Collection to Improve Training, Reproducibility, and Comparability of Studies. Methods in molecular biology. 2216. 3–23. 3 indexed citations
9.
Ku, Min‐Chi, María A. Fernández‐Seara, Frank Kober, & Thoralf Niendorf. (2021). Noninvasive Renal Perfusion Measurement Using Arterial Spin Labeling (ASL) MRI: Basic Concept. Methods in molecular biology. 2216. 229–239. 5 indexed citations
10.
Sielska, Małgorzata, Piotr Przanowski, Kamil Wojnicki, et al.. (2020). Tumour-derived CSF2/granulocyte macrophage colony stimulating factor controls myeloid cell accumulation and progression of gliomas. British Journal of Cancer. 123(3). 438–448. 34 indexed citations
11.
Paul, Katharina, Till Huelnhagen, Min‐Chi Ku, et al.. (2019). Diffusion-weighted Renal MRI at 9.4 Tesla Using RARE to Improve Anatomical Integrity. Scientific Reports. 9(1). 19723–19723. 3 indexed citations
12.
Huelnhagen, Till, Min‐Chi Ku, Henning M. Reimann, et al.. (2018). Myocardial Effective Transverse Relaxation Time T 2 * is Elevated in Hypertrophic Cardiomyopathy: A 7.0 T Magnetic Resonance Imaging Study. Scientific Reports. 8(1). 3974–3974. 7 indexed citations
13.
Ku, Min‐Chi, Till Huelnhagen, Thoralf Niendorf, & Andreas Pohlmann. (2018). Cardiac MRI in Small Animals. Methods in molecular biology. 1718. 269–284. 4 indexed citations
14.
Huelnhagen, Till, et al.. (2017). Myocardial T2* Mapping with Ultrahigh Field Magnetic Resonance: Physics and Frontier Applications. Frontiers in Physics. 5. 8 indexed citations
15.
Ku, Min‐Chi, Ivo Bendix, Andreas Pohlmann, et al.. (2016). ERK1 as a Therapeutic Target for Dendritic Cell Vaccination against High-Grade Gliomas. Molecular Cancer Therapeutics. 15(8). 1975–1987. 7 indexed citations
16.
Niendorf, Thoralf, Andreas Pohlmann, Henning M. Reimann, et al.. (2015). Advancing Cardiovascular, Neurovascular, and Renal Magnetic Resonance Imaging in Small Rodents Using Cryogenic Radiofrequency Coil Technology. Frontiers in Pharmacology. 6. 255–255. 33 indexed citations
17.
Ku, Min‐Chi, Susanne A. Wolf, Vitali Matyash, et al.. (2013). GDNF mediates glioblastoma-induced microglia attraction but not astrogliosis. Acta Neuropathologica. 125(4). 609–620. 95 indexed citations
18.
Ku, Min‐Chi, et al.. (2013). Simple SPION Incubation as an Efficient Intracellular Labeling Method for Tracking Neural Progenitor Cells Using MRI. PLoS ONE. 8(2). e56125–e56125. 36 indexed citations
19.
20.
Ku, Min‐Chi, et al.. (2005). GABAB-receptor-mediated suppression of sympathetic outflow from the spinal cord of neonatal rats. Journal of Applied Physiology. 99(5). 1658–1667. 11 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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