Megumi Aita

1.6k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Megumi Aita is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Megumi Aita has authored 22 papers receiving a total of 1.2k 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 9 papers in Physiology. Recurrent topics in Megumi Aita's work include Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (6 papers). Megumi Aita is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (6 papers). Megumi Aita collaborates with scholars based in Japan, United States and Bulgaria. Megumi Aita's co-authors include Charles Chavkin, Mei Xu, Michael R. Bruchas, Benjamin B. Land, Garret D. Stuber, Alice M. Stamatakis, Pranish A. Kantak, Sabiha K. Barot, Shuang Li and Randall L. Ung and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Megumi Aita

22 papers receiving 1.2k citations

Hit Papers

Visualizing Hypothalamic Network Dynamics for Appetitive ... 2015 2026 2018 2022 2015 100 200 300

Peers

Megumi Aita
Davor Stanić Australia
Russell Ray United States
Kerstin H. Lundgren United States
Frank J. Meye Netherlands
Yousheng Jia United States
Ramon Tasan Austria
Jackson J. Cone United States
Davor Stanić Australia
Megumi Aita
Citations per year, relative to Megumi Aita Megumi Aita (= 1×) peers Davor Stanić

Countries citing papers authored by Megumi Aita

Since Specialization
Citations

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

Fields of papers citing papers by Megumi Aita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megumi Aita

This figure shows the co-authorship network connecting the top 25 collaborators of Megumi Aita. A scholar is included among the top collaborators of Megumi Aita 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 Megumi Aita. Megumi Aita 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.
Lee, Hyeong-Min, Megumi Aita, Noah Sciaky, et al.. (2020). A small-molecule screen reveals novel modulators of MeCP2 and X-chromosome inactivation maintenance. Journal of Neurodevelopmental Disorders. 12(1). 29–29. 20 indexed citations
2.
McCoy, Eric S., Bonnie Taylor‐Blake, Megumi Aita, et al.. (2017). Enhanced Nociception in Angelman Syndrome Model Mice. Journal of Neuroscience. 37(42). 10230–10239. 13 indexed citations
3.
Berrios, Janet, Alice M. Stamatakis, Pranish A. Kantak, et al.. (2016). Loss of UBE3A from TH-expressing neurons suppresses GABA co-release and enhances VTA-NAc optical self-stimulation. Nature Communications. 7(1). 10702–10702. 52 indexed citations
4.
Yu, Dongfang, Richard M. Davis, Megumi Aita, et al.. (2016). Characterization of Rat Meibomian Gland Ion and Fluid Transport. Investigative Ophthalmology & Visual Science. 57(4). 2328–2328. 15 indexed citations
5.
Jennings, Joshua H., Randall L. Ung, Shanna L. Resendez, et al.. (2015). Visualizing Hypothalamic Network Dynamics for Appetitive and Consummatory Behaviors. Cell. 160(3). 516–527. 399 indexed citations breakdown →
6.
Aita, Megumi, Margaret R. Byers, Charles Chavkin, & Mei Xu. (2010). Trigeminal Injury Causes kappa Opioid-Dependent Allodynic, Glial and Immune Cell Responses in Mice. Molecular Pain. 6. 8–8. 42 indexed citations
7.
Land, Benjamin B., Michael R. Bruchas, Selena S. Schattauer, et al.. (2009). Activation of the kappa opioid receptor in the dorsal raphe nucleus mediates the aversive effects of stress and reinstates drug seeking. Proceedings of the National Academy of Sciences. 106(45). 19168–19173. 237 indexed citations
8.
Aita, Megumi, Takeyasu Maeda, & Kenji Seo. (2008). The effect of neonatal capsaicin treatment on the CGRP-immunoreaction in the trigeminal subnucleus caudalis of mice. Biomedical Research. 29(1). 33–42. 6 indexed citations
9.
Xu, Mei, Megumi Aita, & Charles Chavkin. (2008). Partial Infraorbital Nerve Ligation as a Model of Trigeminal Nerve Injury in the Mouse: Behavioral, Neural, and Glial Reactions. Journal of Pain. 9(11). 1036–1048. 108 indexed citations
10.
Harada, Fumiko, Megumi Aita, Isao Saito, et al.. (2007). Involvement of neurotrophin‐4/5 in regeneration of the periodontal Ruffini endings at the early stage. The Journal of Comparative Neurology. 501(3). 400–412. 7 indexed citations
11.
Bruchas, Michael R., Benjamin B. Land, Megumi Aita, et al.. (2007). Stress-Induced p38 Mitogen-Activated Protein Kinase Activation Mediates κ-Opioid-Dependent Dysphoria. Journal of Neuroscience. 27(43). 11614–11623. 232 indexed citations
12.
Suzuki, Akiko, et al.. (2007). Immunolocalization of aquaporin-1 in the mechanoreceptive Ruffini endings in the periodontal ligament. Brain Research. 1157. 32–40. 22 indexed citations
13.
Aita, Megumi, Yoshiro Kawano, & Takeyasu Maeda. (2006). Expression of GDNF and its receptors in the periodontal mechanoreceptor. Neuroscience Letters. 400(1-2). 25–29. 6 indexed citations
14.
Igarashi, Yasushi, Megumi Aita, Akiko Suzuki, et al.. (2006). Involvement of GDNF and its receptors in the maturation of the periodontal Ruffini endings. Neuroscience Letters. 412(3). 222–226. 5 indexed citations
15.
Aita, Megumi, Kenji Seo, Naoshi Fujiwara, Ritsuo Takagi, & Takeyasu Maeda. (2005). Postnatal changes in the spatial distributions of substance P and neurokinin-1 receptor in the trigeminal subnucleus caudalis of mice. Developmental Brain Research. 155(1). 33–41. 7 indexed citations
16.
Amizuka, Norio, Kayoko Nozawa‐Inoue, Akiko Suzuki, et al.. (2005). Histochemical evidences on the chronological alterations of the hypertrophic zone of mandibular condylar cartilage. Microscopy Research and Technique. 67(6). 325–335. 7 indexed citations
17.
Maruyama, Yuko, Fumiko Harada, Isao Saito, et al.. (2005). Neurotrophin-4/5-depletion induces a delay in maturation of the periodontal Ruffini endings in mice. Archives of Histology and Cytology. 68(4). 267–288. 12 indexed citations
18.
Harada, Fumiko, et al.. (2003). Involvement of brain‐derived neurotrophic factor (BDNF) in the development of periodontal Ruffini endings. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 274A(1). 807–816. 19 indexed citations
19.
Iijima, Kenji, Fumiko Harada, Kooji Hanada, et al.. (2003). Temporal expression of immunoreactivity for heat shock protein 25 (Hsp25) in the rat periodontal ligament following transection of the inferior alveolar nerve. Brain Research. 979(1-2). 146–152. 8 indexed citations
20.
Kawano, Yoshiro, Ritsuo Takagi, Megumi Aita, et al.. (2001). The Exact Expression of Glial Fibrillary Acidic Protein (GFAP) in Trigeminal Ganglion and Dental Pulp.. Archives of Histology and Cytology. 64(5). 503–511. 18 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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