Daisuke Machida

35 papers receiving 304 citations

Peers

Daisuke Machida
Comparison fields: 5 of 45
  • Pulmonary and Respiratory Medicine 80
  • Obstetrics and Gynecology 15
  • Cell Biology 35
  • Oncology 51
  • Cardiology and Cardiovascular Medicine 41
Replace Michael Argilla with:
Michael Argilla United States
Svend Hvidsten Denmark
Lasse Bach Steffensen Denmark
Zahra Alvandi Canada
Vassil Kaimaktchiev United States
Michinobu Umakoshi Japan
Caitlin M. Braitsch United States
Nicolas Villa-Roel United States
Richard Holtmeier Germany
Tomokazu Hoshi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Machida

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199940
2 199939
3 201427
4 200025
5 201321
6 201317
7 201115
8 202215
9 201915
10 201014
11 202211
12 202011
13 20119
14 20026
15 20026
16 20216
17 20125
18 20025
19 19994
20 20223

About Daisuke Machida

Daisuke Machida is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 41 papers that have together received 321 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Congenital Heart Disease Studies (6 papers), Glycosylation and Glycoproteins Research (4 papers), Mechanical Circulatory Support Devices (4 papers), Aortic Disease and Treatment Approaches (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Vascular anomalies and interventions (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (80 citations), Obstetrics and Gynecology (15 citations), Cell Biology (35 citations), Oncology (51 citations) and Cardiology and Cardiovascular Medicine (41 citations). Daisuke Machida has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Isao Okayasu, Makoto Saegusa, Miki Hashimura, Hideki Tatewaki, Munetaka Masuda, Hideaki Kado, Kazuhiro Hinokiyama, Shota Yasuda, Keiji Uchida and Kiyotaka Imoto. Their work appears in journals such as Anticancer Research, The Journal of Pathology, European Journal of Cardio-Thoracic Surgery, Annals of Vascular Surgery and Archives of Pathology & Laboratory 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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