Daisuke Kitano

488 citations
53 papers · 280 · h-index 10

Impact in

Papers in

Daisuke Kitano

42 papers receiving 276 citations

Peers

Daisuke Kitano
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 83
  • Forestry 16
  • Endocrinology, Diabetes and Metabolism 33
  • Radiology, Nuclear Medicine and Imaging 37
  • Surgery 53
Replace Jun Hua Chong with:
Jun Hua Chong Singapore
Patricia Pelletier Canada
Xin‐Ran Tang China
Pedro E. Antunes Portugal
András Csaba Nagy Hungary
Tariq Ali Ahmad United States
Naoko Sawada Japan
Bilal Bawamia United Kingdom
Francesco Piccirillo Italy
Federica Serino Italy
Daisuke Kitano relative to Jun Hua Chong Singapore Jun Hua Chong's profile →
Citations per field
00.5×1.5×2×
Jun Hua Chong · 1×
Citations per year

Countries citing papers authored by Daisuke Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200030
2 201623
3 201320
4 201916
5 201815
6 202115
7 202013
8 202311
9 202111
10 202111
11 20209
12 20198
13 20098
14 20238
15 20217
16 20227
17 20227
18 20205
19 20235
20 20225

About Daisuke Kitano

Daisuke Kitano is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Periodontics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 53 papers that have together received 280 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (6 papers), Acute Myocardial Infarction Research (6 papers), Heart Failure Treatment and Management (6 papers), Cardiac Imaging and Diagnostics (5 papers), Dental Health and Care Utilization (3 papers), Oral microbiology and periodontitis research (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (83 citations), Forestry (16 citations), Endocrinology, Diabetes and Metabolism (33 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Surgery (53 citations). Daisuke Kitano has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasuo Okumura, Daisuke Fukamachi, Tadateru Takayama, Takafumi Hiro, Yoshihiko Nishino, Keisuke Kojima, Gérard JANIN, Atsushi Hirayama, Nobuhiro Murata and Mitsumasa Sudo. Their work appears in journals such as Heart and Vessels, ESC Heart Failure, Journal of Cardiology, Scientific Reports and BMC Cardiovascular Disorders.

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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