Kaoru Maruyama

445 citations
17 papers · 342 · h-index 10

Impact in

    • Medical Imaging Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Radiopharmaceutical Chemistry and Applications
    • Rheumatoid Arthritis Research and Therapies

Papers in

Kaoru Maruyama

16 papers receiving 331 citations

Peers

Kaoru Maruyama
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 178
  • Rheumatology 48
  • Cancer Research 47
  • Cardiology and Cardiovascular Medicine 66
  • Oncology 40
Replace Anna Hebda with:
Anna Hebda Poland
Yuki Kubo Japan
Peng Hou China
Jianrong Xu China
J Murakami Japan
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Hans Kossmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Kaoru Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaoru Maruyama, 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 Kaoru Maruyama Line = papers co-authored together Kaoru Maruyama links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200891
2 201560
3 200343
4 200236
5 200731
6 200416
7 201512
8 200211
9 201410
10 200110
11 20038
12 20095
13 20114
14 20183
15 20181
16 20121
17 20250

About Kaoru Maruyama

Kaoru Maruyama is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 342 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Medical Imaging Techniques and Applications (3 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Viral Infections and Immunology Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (178 citations), Rheumatology (48 citations), Cancer Research (47 citations), Cardiology and Cardiovascular Medicine (66 citations) and Oncology (40 citations). Kaoru Maruyama has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Shinji Hasegawa, Tsunehiko Nishimura, Adriaan A. Lammertsma, Ronald Boellaard, Ben A. C. Dijkmans, Joost W van der Heijden, Carla F.M. Molthoff, Conny J. van der Laken, Hideo Kusuoka and Alexandre E. Voskuyl. Their work appears in journals such as Annals of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Molecular Imaging and Biology, Clinical Lung Cancer and Journal of the American College of Cardiology.

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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