Noriko Kudo

26 total papers · 1.1k total citations
17 papers, 530 citations indexed

About

Noriko Kudo is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Noriko Kudo has authored 17 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Psychiatry and Mental health and 3 papers in Clinical Psychology. Recurrent topics in Noriko Kudo's work include Functional Brain Connectivity Studies (7 papers), Neuroscience and Music Perception (5 papers) and Neural dynamics and brain function (4 papers). Noriko Kudo is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neuroscience and Music Perception (5 papers) and Neural dynamics and brain function (4 papers). Noriko Kudo collaborates with scholars based in Japan, United States and Russia. Noriko Kudo's co-authors include Kiyoto Kasai, Toshiaki Shimizu, Kyoko Tanaka, K Shinohara, Mariko Hosozawa, Nobumasa Kato, Hiromichi Shoji, Ken Hisata, Kazuyuki Nakagome and Akira Iwanami and has published in prestigious journals such as NeuroImage, Neuroreport and Schizophrenia Research.

In The Last Decade

Noriko Kudo

17 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Noriko Kudo 226 140 113 68 61 17 530
Santiago Vila 262 1.2× 60 0.4× 290 2.6× 42 0.6× 78 1.3× 31 610
Louise Gagnon 190 0.8× 30 0.2× 58 0.5× 37 0.5× 53 0.9× 29 598
Fiona Ashworth 132 0.6× 32 0.2× 151 1.3× 69 1.0× 74 1.2× 16 522
Filip Morys 150 0.7× 56 0.4× 47 0.4× 42 0.6× 58 1.0× 29 550
Liliana Amorim 151 0.7× 18 0.1× 152 1.3× 69 1.0× 74 1.2× 25 535
Marco Hoeksma 287 1.3× 99 0.7× 119 1.1× 27 0.4× 57 0.9× 16 505
Victoria C. Cambridge 104 0.5× 30 0.2× 126 1.1× 56 0.8× 27 0.4× 9 547
Haiko Schlögl 108 0.5× 64 0.5× 35 0.3× 28 0.4× 28 0.5× 34 557
Hiroaki Hanada 59 0.3× 56 0.4× 47 0.4× 40 0.6× 64 1.0× 21 491
Kristina McFadden 221 1.0× 37 0.3× 57 0.5× 25 0.4× 49 0.8× 12 546

Countries citing papers authored by Noriko Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Kudo

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