Tomoko Nakao

134 total papers · 1.6k total citations
83 papers, 741 citations indexed

About

Tomoko Nakao is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tomoko Nakao has authored 83 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 26 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tomoko Nakao's work include Cardiovascular Function and Risk Factors (44 papers), Cardiac Imaging and Diagnostics (22 papers) and Cardiovascular Health and Disease Prevention (13 papers). Tomoko Nakao is often cited by papers focused on Cardiovascular Function and Risk Factors (44 papers), Cardiac Imaging and Diagnostics (22 papers) and Cardiovascular Health and Disease Prevention (13 papers). Tomoko Nakao collaborates with scholars based in Japan, United States and Taiwan. Tomoko Nakao's co-authors include Issei Komuro, Masao Daimon, Hiroyuki Morita, Megumi Hirokawa, Koki Nakanishi, Ryozo Nagai, Naoko Sawada, Yuriko Yoshida, Yutaka Yatomi and Jumpei Ishiwata and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Tomoko Nakao

75 papers receiving 729 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tomoko Nakao 472 160 135 101 88 83 741
Taisei Mikami 528 1.1× 160 1.0× 94 0.7× 106 1.0× 128 1.5× 63 689
Fatih Koç 433 0.9× 123 0.8× 139 1.0× 115 1.1× 124 1.4× 64 803
Sandeep Gautam 436 0.9× 161 1.0× 185 1.4× 100 1.0× 56 0.6× 56 809
Kenan Yalta 496 1.1× 183 1.1× 175 1.3× 91 0.9× 102 1.2× 82 806
Jun Yang 404 0.9× 176 1.1× 197 1.5× 112 1.1× 58 0.7× 85 732
F Kaindl 380 0.8× 142 0.9× 194 1.4× 134 1.3× 72 0.8× 102 783
Borut Jug 455 1.0× 122 0.8× 250 1.9× 87 0.9× 89 1.0× 75 854
Enbiya Aksakal 538 1.1× 123 0.8× 205 1.5× 169 1.7× 117 1.3× 92 909
Yi Zhang 392 0.8× 95 0.6× 109 0.8× 79 0.8× 58 0.7× 63 669
Ahmet Duran Demir 437 0.9× 152 0.9× 187 1.4× 96 1.0× 127 1.4× 81 789

Countries citing papers authored by Tomoko Nakao

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Nakao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Nakao

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Nakao. A scholar is included among the top collaborators of Tomoko Nakao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoko Nakao. Tomoko Nakao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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