Maki Katamura

12 papers receiving 526 citations

Peers

Maki Katamura
Comparison fields: 5 of 75
  • Pathology and Forensic Medicine 118
  • Cardiology and Cardiovascular Medicine 141
  • Geriatrics and Gerontology 19
  • Developmental Neuroscience 17
  • Cancer Research 56
Replace Yingbin Xiao with:
Yingbin Xiao China
Delphine Baetz France
Sarah Longnus Switzerland
Siavash Beikoghli Kalkhoran United Kingdom
Guoxing Li China
A R Hall United Kingdom
Tsuyoshi Urushida Japan
Marcos Poncelas Spain
Sang Yong Ji United States
Tyler M. Bauer United States
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Citations per field
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Citations per year

Countries citing papers authored by Maki Katamura

Since Specialization
Citations

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

Fields of papers citing papers by Maki Katamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011141
2 2000139
3 201179
4 201062
5 199851
6 201425
7 201419
8 19979
9 20246
10 19962
11
[Clinical significance of diffuse vasoconstriction of coronary arteries--a study using hyperventilation thallium-201 myocardial imaging].
19952
12
[Comparison of exercise-stress single photon emission computed tomography with thallium-201 reinjection and postextrasystolic potentiation to assess myocardial viability in patients with myocardial infarction].
19951

About Maki Katamura

Maki Katamura is a scholar working on Pathology and Forensic Medicine, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 12 papers that have together received 536 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Mitochondrial Function and Pathology (2 papers), Cardiac Imaging and Diagnostics (2 papers), Advanced Glycation End Products research (1 paper), Cannabis and Cannabinoid Research (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (118 citations), Cardiology and Cardiovascular Medicine (141 citations), Geriatrics and Gerontology (19 citations), Developmental Neuroscience (17 citations) and Cancer Research (56 citations). Maki Katamura has collaborated with scholars based in Japan, Germany and Greece. Frequent co-authors include Satoaki Matoba, Eri Iwai‐Kanai, Yoshifumi Okawa, Yuichiro Mita, Hideo Nakamura, Atsushi Hoshino, Koji Ikeda, Mitsuhiko Okigaki, Masaki Kimata and Hiroaki Matsubara. Their work appears in journals such as Journal of the American College of Cardiology, Basic Research in Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, Biochemical and Biophysical Research Communications and Circulation Heart Failure.

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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