Shiori Akabane

444 total citations
8 papers, 313 citations indexed

About

Shiori Akabane is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Shiori Akabane has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Epidemiology and 1 paper in Cell Biology. Recurrent topics in Shiori Akabane's work include Mitochondrial Function and Pathology (6 papers), RNA and protein synthesis mechanisms (4 papers) and Autophagy in Disease and Therapy (3 papers). Shiori Akabane is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), RNA and protein synthesis mechanisms (4 papers) and Autophagy in Disease and Therapy (3 papers). Shiori Akabane collaborates with scholars based in Japan, Germany and United States. Shiori Akabane's co-authors include Takuya Ueda, Toshihiko Oka, Nono Takeuchi, Knud H. Nierhaus, Hidetaka Kosako, Hiroki Kato, Naoki Tani, Tetsuya Kotani, Kunio Takeyasu and Tomotake Kanki and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Shiori Akabane

8 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiori Akabane Japan	7	257	80	38	37	31	8	313
Fenglei Jian China	7	233 0.9×	88 1.1×	41 1.1×	55 1.5×	27 0.9×	8	335
Su Jin Ham South Korea	5	170 0.7×	115 1.4×	35 0.9×	15 0.4×	54 1.7×	7	261
Sarita Raghunayakula United States	10	271 1.1×	30 0.4×	31 0.8×	31 0.8×	18 0.6×	15	371
Melissa Q. Cortez United States	6	213 0.8×	197 2.5×	80 2.1×	27 0.7×	48 1.5×	6	323
Maxime Jacoupy France	4	158 0.6×	101 1.3×	47 1.2×	25 0.7×	79 2.5×	6	254
Yu-Lu Cao China	3	315 1.2×	72 0.9×	48 1.3×	92 2.5×	9 0.3×	4	380
Waka Kojima Japan	7	171 0.7×	173 2.2×	51 1.3×	29 0.8×	74 2.4×	12	304
Andrea Yuste United States	7	258 1.0×	114 1.4×	43 1.1×	14 0.4×	14 0.5×	8	386
Ana Lapão Norway	3	124 0.5×	108 1.4×	25 0.7×	8 0.2×	17 0.5×	4	221
Wenjun Ji China	10	183 0.7×	44 0.6×	31 0.8×	110 3.0×	27 0.9×	25	303

Countries citing papers authored by Shiori Akabane

Since Specialization

Citations

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

Fields of papers citing papers by Shiori Akabane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiori Akabane

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

All Works

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8 of 8 papers shown

1.

Akabane, Shiori, Hidetaka Kosako, Shun‐ichi Yamashita, et al.. (2023). TIM23 facilitates PINK1 activation by safeguarding against OMA1-mediated degradation in damaged mitochondria. Cell Reports. 42(5). 112454–112454. 25 indexed citations

2.

Akabane, Shiori & Toshihiko Oka. (2023). Insights into the regulation of mitochondrial functions by protein kinase A-mediated phosphorylation. The Journal of Biochemistry. 175(1). 1–7. 4 indexed citations

3.

Matsunaga, Noriko, et al.. (2020). Reconstitution of mammalian mitochondrial translation system capable of correct initiation and long polypeptide synthesis from leaderless mRNA. Nucleic Acids Research. 49(1). 371–382. 22 indexed citations

4.

Akabane, Shiori, Yasushi Tamura, Hiroshi Omote, et al.. (2020). The mitochondrial inner membrane protein LETM1 modulates cristae organization through its LETM domain. Communications Biology. 3(1). 99–99. 38 indexed citations

5.

Akabane, Shiori, et al.. (2016). PKA Regulates PINK1 Stability and Parkin Recruitment to Damaged Mitochondria through Phosphorylation of MIC60. Molecular Cell. 62(3). 371–384. 97 indexed citations

6.

Akabane, Shiori, Shun‐ichi Yamashita, Kei Okatsu, et al.. (2016). Constitutive Activation of PINK1 Protein Leads to Proteasome-mediated and Non-apoptotic Cell Death Independently of Mitochondrial Autophagy. Journal of Biological Chemistry. 291(31). 16162–16174. 25 indexed citations

7.

Akabane, Shiori, Takuya Ueda, Knud H. Nierhaus, & Nono Takeuchi. (2014). Ribosome Rescue and Translation Termination at Non-Standard Stop Codons by ICT1 in Mammalian Mitochondria. PLoS Genetics. 10(9). e1004616–e1004616. 58 indexed citations

8.

Kotani, Tetsuya, Shiori Akabane, Kunio Takeyasu, Takuya Ueda, & Nono Takeuchi. (2013). Human G-proteins, ObgH1 and Mtg1, associate with the large mitochondrial ribosome subunit and are involved in translation and assembly of respiratory complexes. Nucleic Acids Research. 41(6). 3713–3722. 44 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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