Yoko Ikoma

149 total papers · 2.6k total citations
95 papers, 1.9k citations indexed

About

Yoko Ikoma is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yoko Ikoma has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Cellular and Molecular Neuroscience and 18 papers in Cognitive Neuroscience. Recurrent topics in Yoko Ikoma's work include Medical Imaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (31 papers) and Neuroscience and Neuropharmacology Research (20 papers). Yoko Ikoma is often cited by papers focused on Medical Imaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (31 papers) and Neuroscience and Neuropharmacology Research (20 papers). Yoko Ikoma collaborates with scholars based in Japan, United States and Germany. Yoko Ikoma's co-authors include Tetsuya Suhara, Akihiro Takano, Hiroshi Ito, Kazutoshi Suzuki, Fumihiko Yasuno, Yuichi Kimura, Miho Shidahara, Hiroshi Watabe, Mika Naganawa and Ming‐Rong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Yoko Ikoma

92 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Yoko Ikoma 692 545 334 268 266 95 1.9k
Jeroen Verhaeghe 738 1.1× 491 0.9× 351 1.1× 305 1.1× 225 0.8× 111 1.9k
P. Millet 459 0.7× 493 0.9× 329 1.0× 329 1.2× 316 1.2× 105 2.1k
Christopher J. Endres 763 1.1× 634 1.2× 596 1.8× 145 0.5× 191 0.7× 70 2.7k
Eli Livni 521 0.8× 578 1.1× 358 1.1× 134 0.5× 170 0.6× 52 1.9k
Zsolt Cselényi 404 0.6× 442 0.8× 379 1.1× 357 1.3× 542 2.0× 56 1.8k
Masanori Ichise 555 0.8× 415 0.8× 500 1.5× 269 1.0× 452 1.7× 67 2.0k
Jeih-San Liow 672 1.0× 432 0.8× 514 1.5× 237 0.9× 390 1.5× 43 1.8k
Paolo Zanotti‐Fregonara 1.1k 1.6× 487 0.9× 530 1.6× 224 0.8× 283 1.1× 113 2.8k
Takashi Okauchi 401 0.6× 810 1.5× 646 1.9× 245 0.9× 477 1.8× 64 2.1k
Yota Fujimura 422 0.6× 448 0.8× 497 1.5× 224 0.8× 371 1.4× 62 2.0k

Countries citing papers authored by Yoko Ikoma

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Ikoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Ikoma

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