Daisuke Morisawa

513 citations
25 papers · 326 · h-index 11

Impact in

    • Cardiovascular Function and Risk Factors
    • Cardiac Valve Diseases and Treatments
    • Atrial Fibrillation Management and Outcomes
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment

Papers in

Daisuke Morisawa

23 papers receiving 317 citations

Peers

Daisuke Morisawa
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 148
  • Hematology 41
  • Nephrology 18
  • Pulmonary and Respiratory Medicine 78
  • Genetics 18
Replace Ryoko Mitsutake with:
Ryoko Mitsutake Japan
Naoei Isomura Japan
Evelyn Santiago‐Vacas Spain
Alkiviadis Michalis Greece
Joseph J. Cuthbert United Kingdom
Marco Spagnolo Italy
Federica Agnello Italy
Claudio Laudani Italy
Aliza M. Thompson United States
Hirotoshi Kamishirado Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Morisawa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Morisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201138
3 201938
4 201423
5 201321
6 200819
7 202017
8 201516
9 201512
10 201811
11 201511
12 20198
13 20158
14 20127
15 20137
16 20157
17 20106
18 20146
19 20166
20 20106

About Daisuke Morisawa

Daisuke Morisawa is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Hematology and Nephrology, having authored 25 papers that have together received 326 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Valve Diseases and Treatments (6 papers), Heart Failure Treatment and Management (5 papers), Chronic Kidney Disease and Diabetes (2 papers), Electrolyte and hormonal disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Erythropoietin and Anemia Treatment (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (148 citations), Hematology (41 citations), Nephrology (18 citations), Pulmonary and Respiratory Medicine (78 citations) and Genetics (18 citations). Daisuke Morisawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tohru Masuyama, Yoshitaka Okuhara, Yoshiro Naito, Arash Kheradvar, Shinichi Hirotani, Toshihiro Iwasaku, Hisashi Sawada, Akiyo Eguchi, Makiko Oboshi and Minji Kim. Their work appears in journals such as Hypertension Research, Journal of Cardiology, PLoS ONE, Scientific Reports and Cardiovascular Intervention and Therapeutics.

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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