Dai-Do Do

63 papers and 1.6k indexed citations i.

About

Dai-Do Do is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Dai-Do Do has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 39 papers in Surgery and 14 papers in Internal Medicine. Recurrent topics in Dai-Do Do’s work include Peripheral Artery Disease Management (25 papers), Vascular Procedures and Complications (21 papers) and Venous Thromboembolism Diagnosis and Management (14 papers). Dai-Do Do is often cited by papers focused on Peripheral Artery Disease Management (25 papers), Vascular Procedures and Complications (21 papers) and Venous Thromboembolism Diagnosis and Management (14 papers). Dai-Do Do collaborates with scholars based in Switzerland, Germany and United States. Dai-Do Do's co-authors include Iris Baumgärtner, Jürgen Triller, Nicolas Diehm, F Mahler, Torsten Willenberg, Rolf P. Engelberger, Joachim Rupp, Barry S. Oemar, Nelson Godoy and Michael Pech and has published in prestigious journals such as Circulation, Radiology and Cardiovascular Research.

In The Last Decade

Co-authorship network of co-authors of Dai-Do Do i

Fields of papers citing papers by Dai-Do Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai-Do Do. 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 Dai-Do Do. The network helps show where Dai-Do Do may publish in the future.

Countries citing papers authored by Dai-Do Do

Since Specialization
Citations

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

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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2025