Ai Nakashima

669 total citations
13 papers, 429 citations indexed

About

Ai Nakashima is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Ai Nakashima has authored 13 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Sensory Systems and 6 papers in Nutrition and Dietetics. Recurrent topics in Ai Nakashima's work include Olfactory and Sensory Function Studies (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ai Nakashima is often cited by papers focused on Olfactory and Sensory Function Studies (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ai Nakashima collaborates with scholars based in Japan and United States. Ai Nakashima's co-authors include Haruki Takeuchi, Hitoshi Sakano, Hirofumi Nishizumi, Yuji Ikegaya, Hiroshi Kiyonari, Mika Shirasu, Keiichi Yoshikawa, Kazushige Touhara, Yoshiki Takai and C. Ron Yu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ai Nakashima

12 papers receiving 422 citations

Peers

Ai Nakashima
Chen Zheng United States
Marion Richard France
Foivos Markopoulos Switzerland
Thiago S. Nakahara Brazil
Kevin Ung United States
K M Guthrie United States
Huikai Tian United States
Alexandra Brignall Canada
Frauke Ackermann Germany
Andrew J. Giessel United States
Chen Zheng United States
Ai Nakashima
Citations per year, relative to Ai Nakashima Ai Nakashima (= 1×) peers Chen Zheng

Countries citing papers authored by Ai Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Ai Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Nakashima

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

All Works

13 of 13 papers shown
1.
Nakashima, Ai & Haruki Takeuchi. (2024). Roles of odorant receptors during olfactory glomerular map formation. genesis. 62(3). e23610–e23610.
2.
Nagata, Hidetaka, et al.. (2020). Neuronal brain‐derived neurotrophic factor manipulates microglial dynamics. Glia. 69(4). 890–904. 23 indexed citations
3.
Nakashima, Ai, et al.. (2020). Cell type-specific patterned neural activity instructs neural map formation in the mouse olfactory system. Neuroscience Research. 170. 1–5. 4 indexed citations
4.
Morikawa, Shota, Etsuo A. Susaki, Ai Nakashima, et al.. (2020). Visualization and molecular characterization of whole-brain vascular networks with capillary resolution. Nature Communications. 11(1). 1104–1104. 54 indexed citations
5.
Nakashima, Ai, et al.. (2019). Structured spike series specify gene expression patterns for olfactory circuit formation. Science. 365(6448). 43 indexed citations
6.
Nakano, Risako, Shota Morikawa, Ai Nakashima, et al.. (2019). Auxin-mediated rapid degradation of target proteins in hippocampal neurons. Neuroreport. 30(13). 908–913. 5 indexed citations
7.
Nakashima, Ai, et al.. (2019). Structured spike series specify gene expression patterns for olfactory circuit formation. Proceedings for Annual Meeting of The Japanese Pharmacological Society. 92(0). JKL–6. 2 indexed citations
8.
Manabe, Hiroyuki, et al.. (2018). Sharp wave‐associated activity patterns of cortical neurons in the mouse piriform cortex. European Journal of Neuroscience. 48(10). 3246–3254. 8 indexed citations
9.
Nakashima, Ai, et al.. (2016). Differential expression of axon‐sorting molecules in mouse olfactory sensory neurons. European Journal of Neuroscience. 44(3). 1998–2003. 9 indexed citations
10.
Nakashima, Ai, Haruki Takeuchi, Takeshi Imai, et al.. (2013). Agonist-Independent GPCR Activity Regulates Anterior-Posterior Targeting of Olfactory Sensory Neurons. Cell. 154(6). 1314–1325. 106 indexed citations
11.
Aoki, Mari, Haruki Takeuchi, Ai Nakashima, Hirofumi Nishizumi, & Hitoshi Sakano. (2013). Possible roles of robo1+ ensheathing cells in guiding dorsal‐zone olfactory sensory neurons in mouse. Developmental Neurobiology. 73(11). 828–840. 14 indexed citations
12.
Shirasu, Mika, Keiichi Yoshikawa, Yoshiki Takai, et al.. (2013). Olfactory Receptor and Neural Pathway Responsible for Highly Selective Sensing of Musk Odors. Neuron. 81(1). 165–178. 79 indexed citations
13.
Nishizumi, Hirofumi, et al.. (2007). Deletion of the core- H region in mice abolishes the expression of three proximal odorant receptor genes in cis. Proceedings of the National Academy of Sciences. 104(50). 20067–20072. 82 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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2026