Ichiro Fujita

6.4k total citations
138 papers, 4.6k citations indexed

About

Ichiro Fujita is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ichiro Fujita has authored 138 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 35 papers in Cellular and Molecular Neuroscience and 24 papers in Molecular Biology. Recurrent topics in Ichiro Fujita's work include Visual perception and processing mechanisms (56 papers), Neural dynamics and brain function (55 papers) and Neurobiology and Insect Physiology Research (19 papers). Ichiro Fujita is often cited by papers focused on Visual perception and processing mechanisms (56 papers), Neural dynamics and brain function (55 papers) and Neurobiology and Insect Physiology Research (19 papers). Ichiro Fujita collaborates with scholars based in Japan, United States and France. Ichiro Fujita's co-authors include Keiji Tanaka, Hiroshi Tamura, Minami Ito, Kang Cheng, Seiji Tanabe, Guy N. Elston, Koichiro Takeshige, M. Ito, Shigeki Minakami and Tomofumi Oga and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ichiro Fujita

128 papers receiving 4.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ichiro Fujita Japan 36 2.8k 1.2k 739 361 343 138 4.6k
Samuel G. Solomon Australia 46 3.6k 1.3× 1.8k 1.6× 2.2k 2.9× 311 0.9× 554 1.6× 169 6.9k
Max S. Cynader Canada 41 2.4k 0.9× 2.2k 1.9× 2.3k 3.1× 199 0.6× 205 0.6× 116 6.2k
Marius Pachitariu United States 20 2.4k 0.8× 1.6k 1.4× 1.4k 1.9× 219 0.6× 113 0.3× 31 5.0k
Gregor Rainer Switzerland 34 4.5k 1.6× 1.3k 1.1× 811 1.1× 185 0.5× 320 0.9× 98 6.2k
Anders Lansner Sweden 39 2.9k 1.1× 1.9k 1.6× 570 0.8× 146 0.4× 167 0.5× 165 6.0k
Peter R. Mouton United States 36 1.2k 0.4× 1.4k 1.3× 1.3k 1.7× 120 0.3× 164 0.5× 100 5.3k
Glenn D. Rosen United States 56 3.6k 1.3× 1.1k 1.0× 3.4k 4.7× 240 0.7× 382 1.1× 200 12.3k
Douglas L. Jones Canada 36 1.2k 0.4× 2.0k 1.7× 1.7k 2.3× 71 0.2× 431 1.3× 174 7.6k
Jonathan C. Horton United States 43 4.6k 1.7× 1.9k 1.7× 2.0k 2.7× 213 0.6× 206 0.6× 156 7.5k
John F. Guzowski United States 36 4.1k 1.5× 5.4k 4.6× 2.2k 2.9× 251 0.7× 541 1.6× 52 8.3k

Countries citing papers authored by Ichiro Fujita

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Fujita

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Fujita. A scholar is included among the top collaborators of Ichiro Fujita 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 Ichiro Fujita. Ichiro Fujita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kimura, Kei, Yuji Nagai, Maki Fujiwara, et al.. (2023). A mosaic adeno-associated virus vector as a versatile tool that exhibits high levels of transgene expression and neuron specificity in primate brain. Nature Communications. 14(1). 4762–4762. 18 indexed citations
2.
Shinozaki, Takashi, et al.. (2023). Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression. Scientific Reports. 13(1). 10908–10908. 2 indexed citations
3.
Takeuchi, Ryosuke, et al.. (2022). Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4. Brain Structure and Function. 227(4). 1385–1403. 7 indexed citations
4.
Inoue, Ken‐ichi, et al.. (2022). Rapid processing of threatening faces in the amygdala of nonhuman primates: subcortical inputs and dual roles. Cerebral Cortex. 33(3). 895–915. 12 indexed citations
5.
6.
Oga, Tomofumi, Guy N. Elston, & Ichiro Fujita. (2017). Postnatal Dendritic Growth and Spinogenesis of Layer-V Pyramidal Cells Differ between Visual, Inferotemporal, and Prefrontal Cortex of the Macaque Monkey. Frontiers in Neuroscience. 11. 118–118. 22 indexed citations
7.
Fujita, Ichiro, et al.. (2017). DEVELOPMENT OF RIVER SURFACE VELOCITY VECTORS BY USING THREE DIMENTIONAL SPACE-TIME VOLUME OF SURFACE IMAGES. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 73(4). I_511–I_516.
8.
Fujita, Ichiro & Takahiro Doi. (2016). Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth. Philosophical Transactions of the Royal Society B Biological Sciences. 371(1697). 20150257–20150257. 7 indexed citations
9.
10.
Tanigawa, Hisashi, et al.. (2005). Organization of Horizontal Axons in the Inferior Temporal Cortex and Primary Visual Cortex of the Macaque Monkey. Cerebral Cortex. 15(12). 1887–1899. 54 indexed citations
11.
Shinomoto, Shigeru, Youichi Miyazaki, Hiroshi Tamura, & Ichiro Fujita. (2005). Regional and Laminar Differences in In Vivo Firing Patterns of Primate Cortical Neurons. Journal of Neurophysiology. 94(1). 567–575. 41 indexed citations
12.
Uka, Takanori, Seiji Tanabe, Masayuki Watanabe, & Ichiro Fujita. (2005). Neural Correlates of Fine Depth Discrimination in Monkey Inferior Temporal Cortex. Journal of Neuroscience. 25(46). 10796–10802. 75 indexed citations
13.
Tamura, Hiroshi, Hidekazu Kaneko, & Ichiro Fujita. (2005). Quantitative analysis of functional clustering of neurons in the macaque inferior temporal cortex. Neuroscience Research. 52(4). 311–322. 18 indexed citations
14.
Zaitsu, Masafumi, Yuhei Hamasaki, Kazuya Sasaki, et al.. (2003). Conversion Rate of Leukotriene C 4 to Leukotriene E 4 Is Decreased in Children with Asthma. Pediatric Asthma Allergy & Immunology. 16(1). 39–44.
15.
Tamura, Hiroshi, Hidekazu Kaneko, Keisuke Kawasaki, & Ichiro Fujita. (2002). Visual response properties of presumed inhibitory neurons in the macaque inferior temporal cortex. The Keio Journal of Medicine. 51. 96. 1 indexed citations
16.
Hojo, Minoru, Ichiro Fujita, Yuhei Hamasaki, Masaya Miyazaki, & Sumio Miyazaki. (1994). Erythromycin Does Not Directly Affect Neutrophil Functions. CHEST Journal. 105(2). 520–523. 16 indexed citations
17.
Okamoto, Toshihiro, Masato Mitsuhashi, Ichiro Fujita, Ram K. Sindhu, & Yutaka Kikkawa. (1993). Induction of Cytochrome P450 1A1 and 1A2 by Hyperoxia. Biochemical and Biophysical Research Communications. 197(2). 878–885. 77 indexed citations
18.
Fujita, Ichiro, Keiji Tanaka, Minami Ito, & Kang Cheng. (1992). Columns for visual features of objects in monkey inferotemporal cortex. Nature. 360(6402). 343–346. 499 indexed citations
19.
Fujita, Ichiro, et al.. (1989). Effects of street lighting. JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN. 73(Appendix). 120–121. 1 indexed citations
20.
Nozaki, Masumi, Ichiro Fujita, Noboru Saito, et al.. (1985). Distribution of LHRH-like Immunoreactivity in the Brain of the Japanese Eel (Anguilla japonica) with Special Reference to the Nervus Terminalis. ZOOLOGICAL SCIENCE. 2(4). 537–547. 24 indexed citations

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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