Hitoshi Komuro

5.7k total citations · 1 hit paper
71 papers, 4.6k citations indexed

About

Hitoshi Komuro is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Hitoshi Komuro has authored 71 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cellular and Molecular Neuroscience, 27 papers in Molecular Biology and 20 papers in Developmental Neuroscience. Recurrent topics in Hitoshi Komuro's work include Neuroscience and Neuropharmacology Research (25 papers), Photoreceptor and optogenetics research (20 papers) and Neurogenesis and neuroplasticity mechanisms (19 papers). Hitoshi Komuro is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Photoreceptor and optogenetics research (20 papers) and Neurogenesis and neuroplasticity mechanisms (19 papers). Hitoshi Komuro collaborates with scholars based in United States, Japan and France. Hitoshi Komuro's co-authors include Pasko Rakić, Tatsuro Kumada, Tetsuro Sakai, Akihiko Hirota, K Kamino, Wendy B. Macklin, Nobuhiko Ohno, Bruce D. Trapp, Grahame J. Kidd and Tatyana I. Gudz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Hitoshi Komuro

71 papers receiving 4.6k citations

Hit Papers

Modulation of Neuronal Migration by NMDA Receptors 1993 2026 2004 2015 1993 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Komuro United States 31 2.9k 2.0k 1.6k 471 450 71 4.6k
Ferdinando Rossi Italy 41 2.5k 0.9× 1.7k 0.9× 2.1k 1.3× 988 2.1× 584 1.3× 118 4.6k
Michael Dragunow New Zealand 33 2.6k 0.9× 1.7k 0.9× 1.4k 0.9× 756 1.6× 223 0.5× 77 4.8k
Jozsef Z. Kiss Switzerland 36 1.9k 0.7× 1.2k 0.6× 1.4k 0.9× 412 0.9× 329 0.7× 72 4.0k
Pradeep G. Bhide United States 39 2.2k 0.8× 2.3k 1.1× 1.1k 0.7× 459 1.0× 446 1.0× 112 4.8k
Karl Schilling Germany 33 2.2k 0.8× 2.8k 1.4× 1.0k 0.7× 929 2.0× 448 1.0× 92 5.0k
Tatsunori Seki Japan 34 2.7k 1.0× 1.8k 0.9× 3.0k 1.9× 875 1.9× 454 1.0× 102 5.3k
Angélique Bordey United States 46 2.9k 1.0× 3.1k 1.6× 2.1k 1.3× 1.0k 2.2× 334 0.7× 120 6.2k
Dan Goldowitz United States 47 2.9k 1.0× 4.0k 2.0× 1.9k 1.2× 829 1.8× 800 1.8× 201 7.4k
Richard J. Mullen United States 20 1.9k 0.6× 2.3k 1.2× 1.1k 0.7× 894 1.9× 467 1.0× 32 4.4k
Guillermina López‐Bendito Spain 36 3.4k 1.2× 2.0k 1.0× 1.6k 1.0× 447 0.9× 773 1.7× 66 5.0k

Countries citing papers authored by Hitoshi Komuro

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Komuro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Komuro

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Komuro. A scholar is included among the top collaborators of Hitoshi Komuro 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 Hitoshi Komuro. Hitoshi Komuro 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.
Dubois, Fatéméh, Magalie Bénard, Damien Schapman, et al.. (2020). Investigating Tunneling Nanotubes in Cancer Cells: Guidelines for Structural and Functional Studies through Cell Imaging. BioMed Research International. 2020(1). 2701345–2701345. 29 indexed citations
2.
Bénard, Magalie, Alexis Lebon, Hitoshi Komuro, David Vaudry, & Ludovic Galas. (2015). <em>Ex Vivo</em> Imaging of Postnatal Cerebellar Granule Cell Migration Using Confocal Macroscopy. Journal of Visualized Experiments. e52810–e52810. 5 indexed citations
4.
Chiang, Hao, Nobuhiko Ohno, Don Mahad, et al.. (2014). Mitochondrial fission augments capsaicin-induced axonal degeneration. Acta Neuropathologica. 129(1). 81–96. 24 indexed citations
5.
Komuro, Yutaro, Yan Li, Tjing‐Tjing Hu, et al.. (2010). Inhibition of cerebellar granule cell turning by alcohol. Neuroscience. 170(4). 1328–1344. 14 indexed citations
6.
7.
Raoult, Émilie, Ludovic Galas, Yulan Jiang, et al.. (2009). Role of PACAP in Controlling Granule Cell Migration. The Cerebellum. 8(4). 433–440. 9 indexed citations
8.
Kumada, Tatsuro, et al.. (2008). Autonomous turning of cerebellar granule cells in vitro by intrinsic programs. Developmental Biology. 326(1). 237–249. 13 indexed citations
9.
Botia, Béatrice, Magali Basille, Émilie Raoult, et al.. (2007). Neurotrophic effects of PACAP in the cerebellar cortex. Peptides. 28(9). 1746–1752. 58 indexed citations
10.
Jiang, Yulan, et al.. (2007). Cerebellar Granule Cell Migration and the Effects of Alcohol. Developmental Neuroscience. 30(1-3). 7–23. 25 indexed citations
11.
Kumada, Tatsuro, Madepalli K. Lakshmana, & Hitoshi Komuro. (2006). Reversal of Neuronal Migration in a Mouse Model of Fetal Alcohol Syndrome by Controlling Second-Messenger Signalings. Journal of Neuroscience. 26(3). 742–756. 61 indexed citations
12.
Komuro, Hitoshi & Tatsuro Kumada. (2005). Ca2+ transients control CNS neuronal migration. Cell Calcium. 37(5). 387–393. 118 indexed citations
13.
Komuro, Hitoshi, et al.. (2002). Cellular and Molecular Mechanisms of Cerebellar Granule Cell Migration. Cell Biochemistry and Biophysics. 37(3). 213–234. 69 indexed citations
14.
Komuro, Hitoshi, et al.. (2002). Stage-specific control of neuronal migration by somatostatin. Nature. 415(6867). 77–81. 94 indexed citations
15.
Sakai, Tomoko, Toshihiko Yada, Akihiko Hirota, Hitoshi Komuro, & Kohtaro Kamino. (1998). A regional gradient of cardiac intrinsic rhythmicity depicted in embryonic cultured multiple hearts. Pflügers Archiv - European Journal of Physiology. 437(1). 61–69. 5 indexed citations
16.
Rakić, Pasko & Hitoshi Komuro. (1995). The role of receptor/channel activity in neuronal cell migration. Journal of Neurobiology. 26(3). 299–315. 127 indexed citations
17.
Sato, Katsushige, Yoko Momose‐Sato, Tetsuro Sakai, et al.. (1993). Optical Assessment of Spatial Patterning of Strength-Duration Relationship for Vagal Responses in the Early Embryonic Chick Brainstem.. The Japanese Journal of Physiology. 43(4). 521–539. 11 indexed citations
18.
Kamino, Kohtaro, et al.. (1990). Optical assessment of spatially ordered patterns of neural response to vagal stimulation in the early embryonic chick brainstem. Neuroscience Research. 8(4). 255–271. 23 indexed citations
19.
Komuro, Hitoshi, et al.. (1985). Effects of calcium on electrical propagation in early embryonic precontractile heart as revealed by multiple-site optical recording of action potentials.. The Journal of General Physiology. 85(3). 365–382. 14 indexed citations
20.
Hirota, Akihiko, et al.. (1984). Optical mapping of propagation of excitation in bullfrog atrium multiple site optical simultaneous recording of action potentials. Japanese Circulation Journal-english Edition. 48(8). 874–875. 1 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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