Akira Mamiya

4.0k total citations · 2 hit papers
19 papers, 2.7k citations indexed

About

Akira Mamiya is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Akira Mamiya has authored 19 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Akira Mamiya's work include Neurobiology and Insect Physiology Research (10 papers), Neural dynamics and brain function (7 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Akira Mamiya is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Neural dynamics and brain function (7 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Akira Mamiya collaborates with scholars based in United States, Taiwan and Netherlands. Akira Mamiya's co-authors include György Buzsáki, Jozsef Csicsvari, Hajime Hirase, András Czurkó, Darrell A. Henze, Kenneth D. Harris, Zsolt Borhegyi, Michael H. Dickinson, Marie P. Suver and Farzan Nadim and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Akira Mamiya

19 papers receiving 2.7k citations

Hit Papers

Oscillatory Coupling of Hippocampal Pyramidal Cells and I... 1999 2026 2008 2017 1999 2000 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
Akira Mamiya United States 14 2.4k 2.0k 217 206 186 19 2.7k
James F.A. Poulet Germany 30 2.2k 0.9× 2.4k 1.2× 185 0.9× 286 1.4× 343 1.8× 47 3.6k
Shaul Druckmann United States 23 1.5k 0.6× 1.8k 0.9× 214 1.0× 256 1.2× 165 0.9× 43 2.7k
Michael Wehr United States 23 2.1k 0.9× 3.0k 1.5× 134 0.6× 290 1.4× 214 1.2× 43 3.8k
Shawn R. Olsen United States 19 2.0k 0.9× 1.4k 0.7× 544 2.5× 288 1.4× 429 2.3× 37 2.7k
Ashok Litwin-Kumar United States 20 1.2k 0.5× 1.3k 0.6× 263 1.2× 180 0.9× 156 0.8× 36 2.0k
Brett D. Mensh United States 30 1.9k 0.8× 1.7k 0.8× 343 1.6× 598 2.9× 208 1.1× 56 3.6k
Bassam V. Atallah United States 11 1.8k 0.8× 2.0k 1.0× 88 0.4× 368 1.8× 47 0.3× 13 2.6k
Dirk Bucher United States 21 2.1k 0.9× 1.6k 0.8× 257 1.2× 464 2.3× 308 1.7× 35 3.3k
Farzan Nadim United States 28 1.7k 0.7× 1.5k 0.7× 82 0.4× 320 1.6× 104 0.6× 92 2.3k
Maxim Bazhenov United States 41 3.2k 1.4× 3.3k 1.6× 418 1.9× 494 2.4× 318 1.7× 126 4.9k

Countries citing papers authored by Akira Mamiya

Since Specialization
Citations

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

Fields of papers citing papers by Akira Mamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Mamiya

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

All Works

19 of 19 papers shown
1.
Dallmann, Chris J., Yichen Luo, Sweta Agrawal, et al.. (2025). Selective presynaptic inhibition of leg proprioception in behaving Drosophila. Nature. 647(8089). 445–453. 1 indexed citations
2.
Mamiya, Akira, Anne Sustar, Igor Siwanowicz, et al.. (2023). Biomechanical origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg. Neuron. 111(20). 3230–3243.e14. 9 indexed citations
3.
Chen, Chenghao, Sweta Agrawal, Brandon Mark, et al.. (2021). Functional architecture of neural circuits for leg proprioception in Drosophila. Current Biology. 31(23). 5163–5175.e7. 17 indexed citations
4.
Mamiya, Akira, et al.. (2018). Neural Coding of Leg Proprioception in Drosophila. Neuron. 100(3). 636–650.e6. 73 indexed citations
5.
Mamiya, Akira & Michael H. Dickinson. (2015). Antennal Mechanosensory Neurons Mediate Wing Motor Reflexes in FlyingDrosophila. Journal of Neuroscience. 35(20). 7977–7991. 26 indexed citations
6.
Suver, Marie P., Akira Mamiya, & Michael H. Dickinson. (2012). Octopamine Neurons Mediate Flight-Induced Modulation of Visual Processing in Drosophila. Current Biology. 22(24). 2294–2302. 129 indexed citations
7.
Mamiya, Akira, Andrew Straw, Egill Tómasson, & Michael H. Dickinson. (2011). Active and Passive Antennal Movements during Visually Guided Steering in FlyingDrosophila. Journal of Neuroscience. 31(18). 6900–6914. 48 indexed citations
8.
Wang, Yalin, Akira Mamiya, Ann‐Shyn Chiang, & Yi Zhong. (2008). Imaging of an Early Memory Trace in theDrosophilaMushroom Body. Journal of Neuroscience. 28(17). 4368–4376. 104 indexed citations
9.
Mamiya, Akira, et al.. (2008). Neural Representations of Airflow in Drosophila Mushroom Body. PLoS ONE. 3(12). e4063–e4063. 10 indexed citations
10.
Mamiya, Akira & Farzan Nadim. (2005). Target-Specific Short-Term Dynamics Are Important for the Function of Synapses in an Oscillatory Neural Network. Journal of Neurophysiology. 94(4). 2590–2602. 12 indexed citations
11.
Mamiya, Akira & Farzan Nadim. (2004). Dynamic Interaction of Oscillatory Neurons Coupled with Reciprocally Inhibitory Synapses Acts to Stabilize the Rhythm Period. Journal of Neuroscience. 24(22). 5140–5150. 35 indexed citations
12.
Mamiya, Akira, Yair Manor, & Farzan Nadim. (2003). Short-Term Dynamics of a Mixed Chemical and Electrical Synapse in a Rhythmic Network. Journal of Neuroscience. 23(29). 9557–9564. 26 indexed citations
13.
Csicsvari, Jozsef, Hajime Hirase, Akira Mamiya, & György Buzsáki. (2000). Ensemble Patterns of Hippocampal CA3-CA1 Neurons during Sharp Wave–Associated Population Events. Neuron. 28(2). 585–594. 369 indexed citations
14.
Henze, Darrell A., Zsolt Borhegyi, Jozsef Csicsvari, et al.. (2000). Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo. Journal of Neurophysiology. 84(1). 390–400. 665 indexed citations breakdown →
15.
Hirase, Hajime, et al.. (1999). tFast Network Oscillations in the Hippocampal CA1 Region of the Behaving Rat. Journal of Neuroscience. 19(16). RC20–RC20. 224 indexed citations
16.
Csicsvari, Jozsef, Hajime Hirase, András Czurkó, Akira Mamiya, & György Buzsáki. (1999). Oscillatory Coupling of Hippocampal Pyramidal Cells and Interneurons in the Behaving Rat. Journal of Neuroscience. 19(1). 274–287. 715 indexed citations breakdown →
17.
Csicsvari, Jozsef, Hajime Hirase, András Czurkó, Akira Mamiya, & György Buzsáki. (1999). Fast network oscillations in the hippocampal CA1 region of the behaving rat.. PubMed. 19(16). RC20–RC20. 242 indexed citations
19.
Mamiya, Akira, Yukio Ishikawa, & Yoshiaki Kono. (1997). Acetylcholinesterase in Insecticide Resistant Culex tritaeniorhynchus: Characteristics Accompanying Insensitivity to Inhibitors. Applied Entomology and Zoology. 32(1). 37–44. 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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