Ryoma Hattori

604 total citations
10 papers, 322 citations indexed

About

Ryoma Hattori is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ryoma Hattori has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Ryoma Hattori's work include Neural dynamics and brain function (7 papers), Receptor Mechanisms and Signaling (3 papers) and Retinal Development and Disorders (2 papers). Ryoma Hattori is often cited by papers focused on Neural dynamics and brain function (7 papers), Receptor Mechanisms and Signaling (3 papers) and Retinal Development and Disorders (2 papers). Ryoma Hattori collaborates with scholars based in United States. Ryoma Hattori's co-authors include Takaki Komiyama, Robert C. Froemke, Kishore V. Kuchibhotla, Bethanny Danskin, Chi Ren, Yichen Lu, Xin Liu, Duygu Kuzum, Xingwang Zhang and Mariko Hattori and has published in prestigious journals such as Cell, Neuron and Nature Neuroscience.

In The Last Decade

Ryoma Hattori

9 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryoma Hattori United States	7	202	187	52	44	31	10	322
Hadas Benisty Israel	9	145 0.7×	101 0.5×	67 1.3×	29 0.7×	33 1.1×	23	324
Jelena Petrović Serbia	11	158 0.8×	221 1.2×	131 2.5×	63 1.4×	28 0.9×	21	416
Kedar G. Shah United States	8	342 1.7×	325 1.7×	103 2.0×	18 0.4×	74 2.4×	18	444
Bruce Harland New Zealand	13	261 1.3×	219 1.2×	19 0.4×	40 0.9×	47 1.5×	26	416
Frédéric D. Broccard United States	7	273 1.4×	232 1.2×	103 2.0×	61 1.4×	43 1.4×	13	402
Go Eun Ha South Korea	8	65 0.3×	121 0.6×	36 0.7×	88 2.0×	47 1.5×	15	256
Hiroki Asari Italy	8	190 0.9×	144 0.8×	30 0.6×	126 2.9×	11 0.4×	17	304
Elisa Bellistri Italy	9	334 1.7×	467 2.5×	57 1.1×	45 1.0×	107 3.5×	12	558
Chuanjun Tong China	8	168 0.8×	162 0.9×	39 0.8×	7 0.2×	51 1.6×	12	300
Tomokazu Ohshiro Japan	8	276 1.4×	113 0.6×	37 0.7×	41 0.9×	29 0.9×	12	401

Countries citing papers authored by Ryoma Hattori

Since Specialization

Citations

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

Fields of papers citing papers by Ryoma Hattori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoma Hattori

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

All Works

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10 of 10 papers shown

1.

Danskin, Bethanny, et al.. (2023). Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior. Science Advances. 9(48). eadj4897–eadj4897. 4 indexed citations

2.

Hattori, Ryoma, et al.. (2023). Super-Resolution With Binary Priors: Theory and Algorithms. IEEE Transactions on Signal Processing. 71. 3213–3228.

3.

Hattori, Ryoma, Nathan G. Hedrick, Anant Jain, et al.. (2023). Meta-reinforcement learning via orbitofrontal cortex. Nature Neuroscience. 26(12). 2182–2191. 22 indexed citations

4.

Hattori, Ryoma & Takaki Komiyama. (2022). PatchWarp: Corrections of non-uniform image distortions in two-photon calcium imaging data by patchwork affine transformations. Cell Reports Methods. 2(5). 100205–100205. 13 indexed citations

5.

Hattori, Ryoma & Takaki Komiyama. (2022). Longitudinal two-photon calcium imaging with ultra-large cranial window for head-fixed mice. STAR Protocols. 3(2). 101343–101343. 13 indexed citations

6.

Hattori, Ryoma & Takaki Komiyama. (2021). Context-dependent persistency as a coding mechanism for robust and widely distributed value coding. Neuron. 110(3). 502–515.e11. 24 indexed citations

7.

Hattori, Ryoma, et al.. (2019). Area-Specificity and Plasticity of History-Dependent Value Coding During Learning. Cell. 177(7). 1858–1872.e15. 86 indexed citations

8.

Liu, Xin, Chi Ren, Yichen Lu, et al.. (2019). Decoding ECoG High Gamma Power from Cellular Calcium Response using Transparent Graphene Microelectrodes. 710–713. 4 indexed citations

9.

Lu, Yichen, Xin Liu, Ryoma Hattori, et al.. (2018). Ultralow Impedance Graphene Microelectrodes with High Optical Transparency for Simultaneous Deep Two‐Photon Imaging in Transgenic Mice. Advanced Functional Materials. 28(31). 64 indexed citations

10.

Hattori, Ryoma, Kishore V. Kuchibhotla, Robert C. Froemke, & Takaki Komiyama. (2017). Functions and dysfunctions of neocortical inhibitory neuron subtypes. Nature Neuroscience. 20(9). 1199–1208. 92 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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