Ko Abe

646 citations
20 papers · 482 · h-index 10

Impact in

Papers in

Ko Abe

17 papers receiving 475 citations

Peers

Ko Abe
Comparison fields: 5 of 62
  • Pulmonary and Respiratory Medicine 205
  • Cancer Research 92
  • Genetics 47
  • Cardiology and Cardiovascular Medicine 67
  • Molecular Biology 166
Replace Aiqiang Dong with:
Aiqiang Dong China
Amy E. Watkins United Kingdom
Thomas A. Samuel United States
Roman Makarewicz Poland
Kenneth Francis Hofland Denmark
Ioana Molnar France
Michael A. Wong United States
Samuel M Pan United States
Ko Abe relative to Aiqiang Dong China Aiqiang Dong's profile →
Citations per field
00.5×2×3×3.9×
Aiqiang Dong · 1×
Citations per year

Countries citing papers authored by Ko Abe

Since Specialization
Citations

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

Fields of papers citing papers by Ko Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2022108
2 2022107
3 200590
4 202135
5 202333
6 202228
7 202314
8 202214
9 202113
10 201311
11 20257
12 20017
13 20236
14 20193
15 20212
16 20202
17
[Reproducibility of a non-invasive quantitative assessment of cerebral blood flow using 123I-IMP SPECT].
19901
18 20201
19 20030
20 20250

About Ko Abe

Ko Abe is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Glioma Diagnosis and Treatment (2 papers), Ferroptosis and cancer prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Heart rate and cardiovascular health (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (205 citations), Cancer Research (92 citations), Genetics (47 citations), Cardiology and Cardiovascular Medicine (67 citations) and Molecular Biology (166 citations). Ko Abe has collaborated with scholars based in Japan and Czechia. Frequent co-authors include Masataka Ikeda, Tomomi Ide, Hiroyuki Tsutsui, Shouji Matsushima, Shun Furusawa, Hiroko Deguchi Miyamoto, Kosei Ishimaru, Tomonori Tadokoro, Ken‐ichi Yamada and Tomoko Koumura. Their work appears in journals such as Journal of the American Heart Association, Circulation Heart Failure, Cancer Science, Cancer Medicine and International journal of cardiac imaging.

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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