Hideo Otsuna

4.8k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

Hideo Otsuna is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, Hideo Otsuna has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 11 papers in Biophysics. Recurrent topics in Hideo Otsuna's work include Neurobiology and Insect Physiology Research (11 papers), Cell Image Analysis Techniques (10 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Hideo Otsuna is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Cell Image Analysis Techniques (10 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Hideo Otsuna collaborates with scholars based in United States, Japan and Germany. Hideo Otsuna's co-authors include Kei Ito, Chi‐Bin Chien, George T. Eisenhoffer, Jody Rosenblatt, Patrick D. Loftus, Masaaki Yoshigi, Paul A. Morcos, Chi-Bin Chien, Charles Hansen and Kristen M. Kwan and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Hideo Otsuna

28 papers receiving 1.9k citations

Hit Papers

Crowding induces live cel... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideo Otsuna United States 19 831 830 561 379 273 29 1.9k
Zhiyuan Lu Canada 22 1.2k 1.4× 778 0.9× 319 0.6× 368 1.0× 342 1.3× 63 2.1k
Ruth A. Montague United States 11 465 0.6× 794 1.0× 947 1.7× 169 0.4× 173 0.6× 16 1.6k
Wesley B. Grueber United States 25 1.9k 2.3× 1.3k 1.6× 722 1.3× 352 0.9× 207 0.8× 41 3.1k
Milos Galic Germany 13 636 0.8× 474 0.6× 362 0.6× 179 0.5× 101 0.4× 31 1.4k
Teresa Nicolson United States 32 571 0.7× 1.9k 2.3× 972 1.7× 185 0.5× 122 0.4× 59 3.9k
Bryan A. Stewart Canada 24 1.6k 2.0× 1.5k 1.8× 1.1k 1.9× 212 0.6× 70 0.3× 75 2.7k
Julia Riedl United States 6 364 0.4× 1.0k 1.2× 996 1.8× 153 0.4× 85 0.3× 9 2.1k
Wernher Fouquet Germany 13 1.4k 1.7× 1.0k 1.2× 756 1.3× 236 0.6× 78 0.3× 13 2.0k
Nicole Gorfinkiel Spain 22 253 0.3× 1.2k 1.4× 973 1.7× 306 0.8× 173 0.6× 33 1.9k
Hiroki Oda Japan 28 720 0.9× 2.4k 2.9× 1.2k 2.1× 427 1.1× 158 0.6× 77 3.4k

Countries citing papers authored by Hideo Otsuna

Since Specialization
Citations

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

Fields of papers citing papers by Hideo Otsuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideo Otsuna

This figure shows the co-authorship network connecting the top 25 collaborators of Hideo Otsuna. A scholar is included among the top collaborators of Hideo Otsuna 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 Hideo Otsuna. Hideo Otsuna 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.
Clements, Jody, Cristian Goina, Philip M. Hubbard, et al.. (2024). NeuronBridge: an intuitive web application for neuronal morphology search across large data sets. BMC Bioinformatics. 25(1). 114–114. 13 indexed citations
2.
Yamaguchi, Naoya, Hideo Otsuna, Michal Eisenberg‐Bord, & Lalita Ramakrishnan. (2024). An Image Processing Tool for Automated Quantification of Bacterial Burdens in Zebrafish Larvae. Zebrafish. 22(1). 11–14.
3.
Dong, Peng, Shu Zhang, Valentina Gandin, et al.. (2024). Cohesin prevents cross-domain gene coactivation. Nature Genetics. 56(8). 1654–1664. 7 indexed citations
4.
Aso, Yoshinori, Daniel Bushey, Karen L Hibbard, et al.. (2023). Neural circuit mechanisms for transforming learned olfactory valences into wind-oriented movement. eLife. 12. 9 indexed citations
5.
Lillvis, Joshua L., Hideo Otsuna, Takashi Kawase, et al.. (2022). Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy. eLife. 11. 25 indexed citations
6.
Sterne, Gabriella R, Hideo Otsuna, Barry J. Dickson, & Kristin Scott. (2021). Classification and genetic targeting of cell types in the primary taste and premotor center of the adult Drosophila brain. eLife. 10. 37 indexed citations
7.
Bogovic, John, Hideo Otsuna, Larissa Heinrich, et al.. (2020). An unbiased template of the Drosophila brain and ventral nerve cord. PLoS ONE. 15(12). e0236495–e0236495. 59 indexed citations
8.
Otsuna, Hideo, Holly A. Holman, Masayoshi Ito, et al.. (2017). FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis. BMC Bioinformatics. 18(1). 280–280. 29 indexed citations
9.
Ren, Qingzhong, Ching-Po Yang, Zhiyong Liu, et al.. (2017). Stem Cell-Intrinsic, Seven-up-Triggered Temporal Factor Gradients Diversify Intermediate Neural Progenitors. Current Biology. 27(9). 1303–1313. 68 indexed citations
10.
Eisenhoffer, George T., Gloria Slattum, Oscar E. Ruiz, et al.. (2016). A toolbox to study epidermal cell types in zebrafish. Journal of Cell Science. 130(1). 269–277. 38 indexed citations
11.
Otsuna, Hideo, et al.. (2015). The RNA Binding Protein Igf2bp1 Is Required for Zebrafish RGC Axon Outgrowth In Vivo. PLoS ONE. 10(9). e0134751–e0134751. 13 indexed citations
12.
Otsuna, Hideo, et al.. (2013). Three-dimensional alignment and merging of confocal microscopy stacks. 1447–1450. 2 indexed citations
13.
Otsuna, Hideo, et al.. (2013). Synthetic Brainbows. Computer Graphics Forum. 32(3pt4). 471–480. 4 indexed citations
14.
Wang, Xu, Daniel Kopinke, Hideo Otsuna, et al.. (2012). Wnt Signaling Regulates Postembryonic Hypothalamic Progenitor Differentiation. Developmental Cell. 23(3). 624–636. 70 indexed citations
16.
Eisenhoffer, George T., Patrick D. Loftus, Masaaki Yoshigi, et al.. (2012). Crowding induces live cell extrusion to maintain homeostatic cell numbers in epithelia. Nature. 484(7395). 546–549. 630 indexed citations breakdown →
17.
Fredj, Naïla Ben, Sarah E. Hammond, Hideo Otsuna, et al.. (2010). Synaptic Activity and Activity-Dependent Competition Regulates Axon Arbor Maturation, Growth Arrest, and Territory in the Retinotectal Projection. Journal of Neuroscience. 30(32). 10939–10951. 94 indexed citations
18.
Otsuna, Hideo, et al.. (2009). An interactive visualization tool for multi-channel confocal microscopy data in neurobiology research. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1489–1496. 83 indexed citations
19.
Otsuna, Hideo & Kei Ito. (2006). Systematic analysis of the visual projection neurons ofDrosophila melanogaster. I. Lobula-specific pathways. The Journal of Comparative Neurology. 497(6). 928–958. 165 indexed citations
20.
Verkhusha, Vladislav V., Hideo Otsuna, Takeshi Awasaki, et al.. (2001). An Enhanced Mutant of Red Fluorescent Protein DsRed for Double Labeling and Developmental Timer of Neural Fiber Bundle Formation. Journal of Biological Chemistry. 276(32). 29621–29624. 96 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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