Tadao Aikawa

1.4k citations
112 papers · 833 · h-index 17

Impact in

Papers in

Tadao Aikawa

89 papers receiving 826 citations

Peers

Tadao Aikawa
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 263
  • Radiology, Nuclear Medicine and Imaging 189
  • Physiology 195
  • Pulmonary and Respiratory Medicine 155
  • Infectious Diseases 83
Replace Florian Poschenrieder with:
Florian Poschenrieder Germany
Clara Kurishima Japan
Ulrich Lotze Germany
Andreas Feißt Germany
Morten Dalsgaard Denmark
Cornelia Piper Germany
Anant Khositseth Thailand
Timur Meşe Türkiye
Manivannan Srinivasan United Kingdom
Maria Dudziak Poland
Tadao Aikawa relative to Florian Poschenrieder Germany Florian Poschenrieder's profile →
Citations per field
00.5×3.8×
Florian Poschenrieder · 1×
Citations per year

Countries citing papers authored by Tadao Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tadao Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201742
2 202036
3 201835
4 201633
5 199127
6 201926
7 201926
8 202423
9 201822
10 202221
11 199121
12 201720
13 201819
14 201719
15 202118
16 201917
17 202017
18 202016
19 201816
20 201515

About Tadao Aikawa

Tadao Aikawa is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Physiology, Pulmonary and Respiratory Medicine and Surgery, having authored 112 papers that have together received 833 indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (22 papers), Cardiac Imaging and Diagnostics (21 papers), Cardiovascular Function and Risk Factors (13 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Acute Myocardial Infarction Research (9 papers), Coronary Interventions and Diagnostics (7 papers), Cardiac Valve Diseases and Treatments (7 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (263 citations), Radiology, Nuclear Medicine and Imaging (189 citations), Physiology (195 citations), Pulmonary and Respiratory Medicine (155 citations) and Infectious Diseases (83 citations). Tadao Aikawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Osamu Manabe, Noriko Oyama‐Manabe, Masanao Naya, Nagara Tamaki, Toshiki Kuno, Hisato Takagi, Toshihisa Anzai, Kiyotake Ishikawa, Keiichi Magota and Hiroshi Ohira. Their work appears in journals such as Journal of Nuclear Cardiology, European Heart Journal, International Journal of Cardiology, Journal of Medical Virology and Annals of Nuclear Medicine.

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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