Min‐Chi Ku

1.1k citations
35 papers · 847 · h-index 14

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

Min‐Chi Ku

32 papers receiving 835 citations

Peers

Min‐Chi Ku
Comparison fields: 5 of 93
  • Neurology 237
  • Genetics 160
  • Immunology 232
  • Biological Psychiatry 25
  • Developmental Neuroscience 35
Replace Diana Matias with:
Diana Matias Brazil
Rackele Ferreira do Amaral Brazil
Ethan Poteet United States
Fabienne Glacial France
Bartłomiej Gielniewski Poland
Chan Hyun Na United States
Dennis Lindau Germany
János Haskó Hungary
Daniel J. Kim United States
Sara Oliván Spain
Min‐Chi Ku relative to Diana Matias Brazil Diana Matias's profile →
Citations per field
00.5×1.5×
Diana Matias · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Min‐Chi Ku, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min‐Chi Ku Line = papers co-authored together Min‐Chi Ku links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006190
2 2013120
3 201496
4 201395
5 201752
6 201537
7 201336
8 202035
9 201823
10 201521
11 200520
12 202018
13 201515
14 201414
15 200511
16 201310
17 20178
18 20188
19 20167
20 20215

About Min‐Chi Ku

Min‐Chi Ku is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Neurology, Materials Chemistry and Genetics, having authored 35 papers that have together received 847 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), MRI in cancer diagnosis (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Lanthanide and Transition Metal Complexes (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Glioma Diagnosis and Treatment (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Neurology (237 citations), Genetics (160 citations), Immunology (232 citations), Biological Psychiatry (25 citations) and Developmental Neuroscience (35 citations). Min‐Chi Ku has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Thoralf Niendorf, Jia‐Yi Wang, Ya‐Ni Huang, Helmut Kettenmann, Andreas Pohlmann, Sonia Waiczies, Susanne A. Wolf, Michael Synowitz, Helmar Waiczies and Seija Lehnardt. Their work appears in journals such as Scientific Reports, Neuro-Oncology, Journal of Cardiovascular Magnetic Resonance, Current Pharmaceutical Design and Nature Communications.

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.

Explore authors with similar magnitude of impact