Makiko Naito

903 total citations
4 papers, 17 citations indexed

About

Makiko Naito is a scholar working on Molecular Biology, Neurology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Makiko Naito has authored 4 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Makiko Naito's work include Neurological disorders and treatments (1 paper), Down syndrome and intellectual disability research (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). Makiko Naito is often cited by papers focused on Neurological disorders and treatments (1 paper), Down syndrome and intellectual disability research (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). Makiko Naito collaborates with scholars based in Japan. Makiko Naito's co-authors include Takuto Hideyama, Tomoko Saito, Shin Kwak, Hitoshi Aizawa, Takashi Kimura, Hiroo Terashi, Hidetoshi Mezawa, Haruhisa Kato, Yasuhiro Suzuki and Keiji Hashimoto and has published in prestigious journals such as Journal of the Neurological Sciences, Internal Medicine and Pediatrics International.

In The Last Decade

Makiko Naito

4 papers receiving 17 citations

Peers

Countries citing papers authored by Makiko Naito

Since Specialization

Citations

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

Fields of papers citing papers by Makiko Naito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Naito

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Prolyl Isomerase Pin1 Expression in the Spinal Motor Neurons of Patients With Sporadic Amyotrophic Lateral Sclerosis 2022 ·Journal of Clinical Neurology ·Haruhisa Kato, Makiko Naito, Tomoko Saito, Takuto Hideyama, Yasuhiro Suzuki, Takashi Kimura, Shin Kwak, Hitoshi Aizawa	4
2	Pathological features of glial cells and motor neurons in the anterior horn of the spinal cord in sporadic ALS using ADAR2 conditional knockout mice 2022 ·Journal of the Neurological Sciences ·Makiko Naito, Takuto Hideyama, Sayaka Teramoto, Tomoko Saito, Haruhisa Kato, Hiroo Terashi, Shin Kwak, Hitoshi Aizawa	3
3	Persistent Hemichorea as a Preceding Symptom of Cerebral Infarction Due to Middle Cerebral Artery Stenosis 2021 ·Internal Medicine ·(unknown), Haruhisa Kato, Makiko Naito, (unknown), Hiroo Terashi, Hitoshi Aizawa	3
4	Gait analysis in Down syndrome pediatric patients using a sheet‐type gait analyzer: Pilot study 2015 ·Pediatrics International ·Makiko Naito, (unknown), (unknown), (unknown), (unknown), Akira Nagai, Hidetoshi Mezawa, Keiji Hashimoto	7

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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