Akio Komatani

471 total citations
18 papers, 392 citations indexed

About

Akio Komatani is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Akio Komatani has authored 18 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Akio Komatani's work include Cardiac Imaging and Diagnostics (9 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (5 papers). Akio Komatani is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (5 papers). Akio Komatani collaborates with scholars based in Japan and Canada. Akio Komatani's co-authors include Yasuchika Takeishi, Ichiro Tonooka, Shinya Abe, Kai Tsuiki, Takaaki Hosoya, Kozue Ikeda, Yukio Sugai, Hitonobu Tomoike, Koichi Yamaguchi and Shinobu Kawakatsu and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, American Heart Journal and Schizophrenia Research.

In The Last Decade

Akio Komatani

16 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Komatani Japan 8 236 121 58 48 45 18 392
Shigenori Matsushima Japan 11 210 0.9× 24 0.2× 25 0.4× 44 0.9× 60 1.3× 29 368
F Holzner Austria 5 147 0.6× 14 0.1× 131 2.3× 33 0.7× 51 1.1× 17 364
In Young Hyun South Korea 10 95 0.4× 47 0.4× 28 0.5× 93 1.9× 48 1.1× 29 303
O Effenberger Germany 8 50 0.2× 65 0.5× 161 2.8× 41 0.9× 153 3.4× 14 421
Eren Gözke Türkiye 11 77 0.3× 19 0.2× 66 1.1× 69 1.4× 25 0.6× 49 288
Søren Just Christensen Denmark 8 64 0.3× 31 0.3× 32 0.6× 16 0.3× 70 1.6× 15 312
Gail Durbridge Australia 9 127 0.5× 16 0.1× 30 0.5× 242 5.0× 19 0.4× 18 519
Lorenzo Conti Italy 10 39 0.2× 43 0.4× 24 0.4× 38 0.8× 80 1.8× 26 245
Anil Mahavadi United States 13 42 0.2× 23 0.2× 31 0.5× 52 1.1× 95 2.1× 33 387
Thomas Hauser Germany 8 182 0.8× 18 0.1× 44 0.8× 21 0.4× 27 0.6× 9 304

Countries citing papers authored by Akio Komatani

Since Specialization
Citations

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

Fields of papers citing papers by Akio Komatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Komatani

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

All Works

18 of 18 papers shown
1.
Sugai, Yukio, Akio Komatani, Takaaki Hosoya, & Kazue Takahashi. (2006). Comparisons of the time-activity curves of the cardiac blood pool and liver uptake by99mTc-GSA dynamic SPECT and measured99mTc-GSA blood concentrations. Annals of Nuclear Medicine. 20(4). 295–301. 1 indexed citations
2.
Komatani, Akio, Yukio Sugai, & Takaaki Hosoya. (2004). Development of “super rapid dynamic SPECT,” and analysis of retention process of99mTc-ECD in ischemie lesions: Comparative study with133Xe SPECT. Annals of Nuclear Medicine. 18(6). 489–494. 6 indexed citations
3.
Kawakatsu, Shinobu, et al.. (2002). Occipital hypoperfusion in a patient with psychogenic visual disturbance. Psychiatry Research Neuroimaging. 114(3). 163–168. 5 indexed citations
4.
Sugai, Yukio, Akio Komatani, Takaaki Hosoya, & Koichi Yamaguchi. (2000). Response to percutaneous transhepatic portal embolization: new proposed parameters by 99mTc-GSA SPECT and their usefulness in prognostic estimation after hepatectomy.. PubMed. 41(3). 421–5. 42 indexed citations
5.
Wada, Tadashi, et al.. (1999). Possible association between delusional disorder, somatic type and reduced regional cerebral blood flow. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 23(2). 353–357. 22 indexed citations
6.
Iida, Hidehiro, Keigo Endo, Hiroshi Fukuda, et al.. (1996). A Multicenter Validation of Regional Cerebral Blood Flow Quantitation Using [123I]Iodoamphetamine and Single Photon Emission Computed Tomography. Journal of Cerebral Blood Flow & Metabolism. 16(5). 781–793. 88 indexed citations
7.
Takahashi, K, et al.. (1996). [Quantitative assessment of an increase of myocardial 99mTc-MIBI accumulation during exercise--usefulness of response rate].. PubMed. 33(7). 779–84. 1 indexed citations
8.
Haku, Tamami, et al.. (1996). [Correlation of regional cerebral blood flow between Xe-CT and 133Xe-SPECT: validity of Xe-CT in evaluating rCBF].. PubMed. 56(12). 828–33. 3 indexed citations
9.
Takeishi, Yasuchika, et al.. (1994). Organ distribution of thallium-201 during intravenous adenosine infusion: Comparison with exercise. American Heart Journal. 127(5). 1268–1274. 5 indexed citations
11.
Takeishi, Yasuchika, et al.. (1992). Heterogeneous myocardial distribution of iodine-123 15-(p-iodophenyl)-3-R,S-methylpentadecanoic acid (BMIPP) in patients with hypertrophic cardiomyopathy. European Journal of Nuclear Medicine and Molecular Imaging. 19(9). 775–82. 53 indexed citations
12.
Ikeda, Hideki, et al.. (1992). Prolonged lung retention of123I-IMP in pulmonary fibrosis. Annals of Nuclear Medicine. 6(3). 147–151. 1 indexed citations
13.
Takeishi, Yasuchika, Ichiro Tonooka, Isao Kubota, et al.. (1991). Functional recovery of hibernating myocardium after coronary bypass surgery: Does it coincide with improvement in perfusion?. American Heart Journal. 122(3). 665–670. 46 indexed citations
14.
Takeishi, Yasuchika, Ichiro Tonooka, Kozue Ikeda, et al.. (1991). Dilatation of the left ventricular cavity on dipyridamole thallium-201 imaging: A new marker of triple-vessel disease. American Heart Journal. 121(2). 466–475. 54 indexed citations
15.
Sagawa, K, et al.. (1990). Correlation of regional cerebral blood flow with performance on neuropsychological tests in schizophrenic patients. Schizophrenia Research. 3(4). 241–246. 41 indexed citations
16.
Tonooka, Ichiro, Yasuchika Takeishi, Ikuto Masakane, et al.. (1989). Relationsip of thallium-201 defect and left ventricular function after dipyridamole infusion.. Japanese Circulation Journal. 53(7). 707–715. 5 indexed citations
17.
Suzuki, Hitomi, Yoshihiko Watanabe, Isao Kubota, et al.. (1983). Quantitative evaluation of stress thallium-201 myocardial perfusion imaging for detection of the severity of coronary artery disease.. Japanese Circulation Journal. 47(2). 170–179. 4 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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