Noriko Motoi

408 total papers · 13.1k total citations
191 papers, 5.6k citations indexed

About

Noriko Motoi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Noriko Motoi has authored 191 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Pulmonary and Respiratory Medicine, 89 papers in Oncology and 29 papers in Molecular Biology. Recurrent topics in Noriko Motoi's work include Lung Cancer Treatments and Mutations (66 papers), Lung Cancer Diagnosis and Treatment (37 papers) and Lung Cancer Research Studies (33 papers). Noriko Motoi is often cited by papers focused on Lung Cancer Treatments and Mutations (66 papers), Lung Cancer Diagnosis and Treatment (37 papers) and Lung Cancer Research Studies (33 papers). Noriko Motoi collaborates with scholars based in Japan, United States and United Kingdom. Noriko Motoi's co-authors include William D. Travis, William L. Gerald, Valerie W. Rusch, Gregory J. Riely, Mark G. Kris, Akihiko Yoshizawa, Bernard J. Park, Cami S. Sima, Sakae Okumura and William Pao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Noriko Motoi

172 papers receiving 5.5k citations

Hit Papers

Impact of proposed IASLC/... 2007 2026 2013 2019 2011 2007 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Noriko Motoi 3.3k 2.5k 1.4k 927 588 191 5.6k
Hyo Sup Shim 3.0k 0.9× 2.4k 0.9× 1.5k 1.1× 1.1k 1.2× 447 0.8× 164 5.1k
Sylvie Lantuéjoul 3.7k 1.1× 3.2k 1.2× 2.1k 1.5× 1.2k 1.3× 556 0.9× 154 6.8k
Tomoyuki Yokose 3.3k 1.0× 2.6k 1.0× 1.2k 0.8× 821 0.9× 698 1.2× 270 6.6k
Martine Antoine 2.4k 0.7× 2.2k 0.9× 1.0k 0.7× 956 1.0× 555 0.9× 188 5.4k
Hidetoshi Hayashi 2.7k 0.8× 3.6k 1.4× 1.4k 1.0× 703 0.8× 338 0.6× 246 5.1k
Kenji Sugio 3.3k 1.0× 3.2k 1.2× 2.7k 1.9× 1.1k 1.2× 459 0.8× 276 7.1k
Fernando López‐Ríos 2.7k 0.8× 3.2k 1.2× 2.1k 1.5× 1.8k 2.0× 335 0.6× 177 6.4k
Koichi Azuma 3.0k 0.9× 3.3k 1.3× 1.5k 1.0× 948 1.0× 254 0.4× 265 6.2k
Ken Kodama 4.3k 1.3× 2.0k 0.8× 1.1k 0.8× 827 0.9× 1.1k 1.8× 206 6.5k
Marco Alloisio 2.9k 0.9× 1.7k 0.7× 883 0.6× 482 0.5× 650 1.1× 157 4.6k

Countries citing papers authored by Noriko Motoi

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Motoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Motoi

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