Mie Kubota

3.2k total citations · 1 hit paper
9 papers, 2.6k citations indexed

About

Mie Kubota is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Mie Kubota has authored 9 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Mie Kubota's work include Genetics and Neurodevelopmental Disorders (4 papers), Mitochondrial Function and Pathology (3 papers) and Bipolar Disorder and Treatment (3 papers). Mie Kubota is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Mitochondrial Function and Pathology (3 papers) and Bipolar Disorder and Treatment (3 papers). Mie Kubota collaborates with scholars based in Japan. Mie Kubota's co-authors include Takeharu Nagai, Keiji Ibata, Katsuhiko Mikoshiba, Atsushi Miyawaki, Takaoki Kasahara, Tadafumi Kato, T. Miyauchi, Yukihiro Noda, Akihiro Mouri and Mizuho Ishiwata and has published in prestigious journals such as Journal of Neuroscience, Nature Biotechnology and PLoS ONE.

In The Last Decade

Mie Kubota

9 papers receiving 2.5k citations

Hit Papers

A variant of yellow fluorescent protein with fast and eff... 2002 2026 2010 2018 2002 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mie Kubota Japan 8 1.8k 547 510 403 358 9 2.6k
Keiji Ibata Japan 19 2.3k 1.2× 733 1.3× 538 1.1× 633 1.6× 318 0.9× 27 3.1k
Zhen‐Ge Luo China 30 2.4k 1.3× 967 1.8× 362 0.7× 831 2.1× 361 1.0× 77 4.1k
Kazuki Horikawa Japan 21 1.5k 0.8× 1.2k 2.2× 330 0.6× 363 0.9× 142 0.4× 57 2.8k
Mazahir T. Hasan Germany 27 1.9k 1.0× 1.2k 2.2× 551 1.1× 334 0.8× 586 1.6× 44 3.9k
Thomas E. Hughes United States 26 1.7k 0.9× 1.3k 2.3× 859 1.7× 276 0.7× 103 0.3× 64 3.1k
Dino A. De Angelis United States 10 1.8k 1.0× 840 1.5× 369 0.7× 693 1.7× 156 0.4× 10 2.5k
Maximilian H. Ulbrich Germany 22 1.7k 0.9× 1.2k 2.1× 353 0.7× 187 0.5× 540 1.5× 41 2.6k
Ken Y. Chan United States 17 2.0k 1.1× 1.0k 1.8× 328 0.6× 174 0.4× 1.0k 2.8× 19 3.5k
Irina Dedova Australia 19 1.1k 0.6× 321 0.6× 134 0.3× 660 1.6× 181 0.5× 37 2.0k
Andrew Gordus United States 19 1.6k 0.8× 1.1k 2.0× 335 0.7× 169 0.4× 120 0.3× 29 3.2k

Countries citing papers authored by Mie Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Mie Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mie Kubota

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

All Works

9 of 9 papers shown
1.
Kubota, Mie, Takaoki Kasahara, Kazuya Iwamoto, et al.. (2010). Therapeutic implications of down-regulation of cyclophilin D in bipolar disorder. The International Journal of Neuropsychopharmacology. 13(10). 1355–1368. 21 indexed citations
2.
Kasahara, Takaoki, Mie Kubota, T. Miyauchi, Mizuho Ishiwata, & Tadafumi Kato. (2008). A Marked Effect of Electroconvulsive Stimulation on Behavioral Aberration of Mice with Neuron-Specific Mitochondrial DNA Defects. PLoS ONE. 3(3). e1877–e1877. 11 indexed citations
3.
Kato, Tadafumi, Mie Kubota, & Takaoki Kasahara. (2007). Animal models of bipolar disorder. Neuroscience & Biobehavioral Reviews. 31(6). 832–842. 60 indexed citations
4.
Kasahara, Takaoki, Mie Kubota, T. Miyauchi, et al.. (2006). Mice with neuron-specific accumulation of mitochondrial DNA mutations show mood disorder-like phenotypes. Molecular Psychiatry. 11(6). 577–593. 133 indexed citations
5.
Kubota, Mie, Takaoki Kasahara, Takeshi Nakamura, et al.. (2006). Abnormal Ca2+Dynamics in Transgenic Mice with Neuron-Specific Mitochondrial DNA Defects. Journal of Neuroscience. 26(47). 12314–12324. 31 indexed citations
6.
Kasahara, Takaoki, Mie Kubota, T. Miyauchi, et al.. (2006). Genetically modified mice harboring mitochondrial DNA defects show aberrant cyclic change in wheel-running activity, which is improved by lithium. Molecular Psychiatry. 11(6). 523–523. 13 indexed citations
7.
Nagai, Takeharu, et al.. (2002). A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications. Nature Biotechnology. 20(1). 87–90. 2259 indexed citations breakdown →
8.
Kubota, Mie, Takayuki Murakoshi, Hironao Saegusa, et al.. (2001). Intact LTP and Fear Memory but Impaired Spatial Memory in Mice Lacking Cav2.3 (αIE) Channel. Biochemical and Biophysical Research Communications. 282(1). 242–248. 42 indexed citations
9.
Urayama, Osamu, et al.. (1997). Coincident induction of Krev-1/rap 1A, rap 1B and H-ras mRNAs in the rat spinal cord by noxious stimulation. Molecular Brain Research. 45(2). 331–334. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026