Kei Majima

103 total papers · 1.1k total citations
27 papers, 567 citations indexed

About

Kei Majima is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kei Majima has authored 27 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Kei Majima's work include Neural dynamics and brain function (18 papers), Face Recognition and Perception (10 papers) and Functional Brain Connectivity Studies (6 papers). Kei Majima is often cited by papers focused on Neural dynamics and brain function (18 papers), Face Recognition and Perception (10 papers) and Functional Brain Connectivity Studies (6 papers). Kei Majima collaborates with scholars based in Japan, United States and Australia. Kei Majima's co-authors include Yukiyasu Kamitani, Tomoyasu Horikawa, Guohua Shen, Isao Hasegawa, Kshitij Dwivedi, Hirohito Sawahata, Takafumi Suzuki, Jeffrey D. Wolt, Keisuke Kawasaki and Takeshi Matsuo and has published in prestigious journals such as Nature Communications, NeuroImage and Cerebral Cortex.

In The Last Decade

Kei Majima

26 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Kei Majima	389	127	114	57	54	27	567
Vincent J. Dercksen	327 0.8×	293 2.3×	41 0.4×	94 1.6×	27 0.5×	15	525
Benjamin Torben-Nielsen	224 0.6×	190 1.5×	21 0.2×	95 1.7×	46 0.9×	30	516
Niru Maheswaranathan	370 1.0×	243 1.9×	46 0.4×	18 0.3×	90 1.7×	17	562
Nicholas Baker	158 0.4×	79 0.6×	137 1.2×	22 0.4×	69 1.3×	29	603
Liang She	249 0.6×	173 1.4×	47 0.4×	14 0.2×	21 0.4×	21	649
Kevin M. Boergens	249 0.6×	254 2.0×	30 0.3×	195 3.4×	20 0.4×	18	618
Hanlin Tang	212 0.5×	35 0.3×	167 1.5×	13 0.2×	120 2.2×	38	614
Ian R. Moorhead	347 0.9×	36 0.3×	169 1.5×	21 0.4×	17 0.3×	15	559
Minjoon Kouh	507 1.3×	63 0.5×	216 1.9×	32 0.6×	71 1.3×	20	680
Peter H. Li	239 0.6×	314 2.5×	34 0.3×	123 2.2×	27 0.5×	24	666

Countries citing papers authored by Kei Majima

Since Specialization

Citations

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

Fields of papers citing papers by Kei Majima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Majima

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