Akiko Kano

28 total papers · 434 total citations
13 papers, 305 citations indexed

About

Akiko Kano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Akiko Kano has authored 13 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Akiko Kano's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Medical Imaging Techniques and Applications (3 papers). Akiko Kano is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Medical Imaging Techniques and Applications (3 papers). Akiko Kano collaborates with scholars based in Japan and United States. Akiko Kano's co-authors include Kunio Doi, Maryellen L. Giger, Heber MacMahon, Katsumi Abe, Hitoshi Yoshimura, Tsuneo Matsumoto, Steven M. Montner, Xuan Chen, Toru Yanagisawa and Hiroki Onuma and has published in prestigious journals such as Journal of the American Academy of Dermatology, Medical Physics and European Radiology.

In The Last Decade

Akiko Kano

13 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Akiko Kano 216 157 95 55 53 13 305
Keizo Kanazawa 221 1.0× 201 1.3× 75 0.8× 21 0.4× 47 0.9× 7 282
Andrew Cameron 172 0.8× 110 0.7× 62 0.7× 76 1.4× 53 1.0× 15 295
Nariman Jahani 192 0.9× 111 0.7× 45 0.5× 38 0.7× 22 0.4× 11 304
Sergei V. Fotin 201 0.9× 176 1.1× 164 1.7× 57 1.0× 50 0.9× 15 330
Erdi Çallı 265 1.2× 102 0.6× 104 1.1× 34 0.6× 33 0.6× 8 324
Grégory Maclair 200 0.9× 84 0.5× 62 0.7× 202 3.7× 48 0.9× 11 346
Junshen Xu 258 1.2× 45 0.3× 66 0.7× 77 1.4× 64 1.2× 13 353
Yuya Onishi 272 1.3× 73 0.5× 99 1.0× 60 1.1× 50 0.9× 22 337
G. Gargano 228 1.1× 202 1.3× 93 1.0× 15 0.3× 52 1.0× 15 282
Demin Yao 241 1.1× 93 0.6× 85 0.9× 38 0.7× 44 0.8× 15 361

Countries citing papers authored by Akiko Kano

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Kano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Kano

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Kano. A scholar is included among the top collaborators of Akiko Kano 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 Akiko Kano. Akiko Kano 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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