Akinori Eiyama

841 total citations · 1 hit paper
8 papers, 651 citations indexed

About

Akinori Eiyama is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Akinori Eiyama has authored 8 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Akinori Eiyama's work include Autophagy in Disease and Therapy (5 papers), Mitochondrial Function and Pathology (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Akinori Eiyama is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Mitochondrial Function and Pathology (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Akinori Eiyama collaborates with scholars based in Japan, Germany and United Kingdom. Akinori Eiyama's co-authors include Koji Okamoto, Noriko Kondo‐Okamoto, Yoji Kawano, Aiko Okada, Kenji Suzuki, Honda Naoki, Takahiro Ueba, Shin Ishii, Yuichi Sakumura and Fugo Takasu and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Akinori Eiyama

8 papers receiving 641 citations

Hit Papers

PINK1/Parkin-mediated mitophagy in mammalian cells 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akinori Eiyama Japan 7 391 346 104 98 97 8 651
Seung-Min Yoo South Korea 5 264 0.7× 366 1.1× 81 0.8× 35 0.4× 146 1.5× 7 624
Haixia Zhuang China 11 536 1.4× 370 1.1× 115 1.1× 41 0.4× 95 1.0× 21 776
Salwa Sebti United States 9 413 1.1× 507 1.5× 121 1.2× 35 0.4× 124 1.3× 12 854
Ioanna Daskalaki Greece 8 462 1.2× 282 0.8× 61 0.6× 49 0.5× 154 1.6× 12 726
Christina Ploumi Greece 7 358 0.9× 187 0.5× 43 0.4× 39 0.4× 143 1.5× 10 598
Esmaa Bouhamida Italy 11 480 1.2× 132 0.4× 64 0.6× 36 0.4× 123 1.3× 17 791
Henok Kassahun Norway 10 606 1.5× 246 0.7× 37 0.4× 58 0.6× 201 2.1× 16 952
Cheng‐Liang Luo China 13 562 1.4× 255 0.7× 35 0.3× 219 2.2× 89 0.9× 20 900
Diana Athonvarangkul United States 8 292 0.7× 529 1.5× 124 1.2× 20 0.2× 256 2.6× 11 873
Julie Faitg United Kingdom 8 327 0.8× 144 0.4× 39 0.4× 23 0.2× 129 1.3× 11 529

Countries citing papers authored by Akinori Eiyama

Since Specialization
Citations

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

Fields of papers citing papers by Akinori Eiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akinori Eiyama

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

All Works

8 of 8 papers shown
1.
Tatsuta, Takashi, et al.. (2022). An intermolecular hydrogen bonded network in the PRELID-TRIAP protein family plays a role in lipid sensing. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1871(1). 140867–140867. 1 indexed citations
2.
Eiyama, Akinori, Mari J. Aaltonen, Hendrik Nolte, Takashi Tatsuta, & Thomas Langer. (2021). Disturbed intramitochondrial phosphatidic acid transport impairs cellular stress signaling. Journal of Biological Chemistry. 296. 100335–100335. 10 indexed citations
3.
Eiyama, Akinori & Koji Okamoto. (2017). Assays for Mitophagy in Yeast. Methods in molecular biology. 1567. 337–347. 10 indexed citations
4.
Sakakibara, Kaori, Akinori Eiyama, S. Suzuki, et al.. (2015). Phospholipid methylation controls Atg32‐mediated mitophagy and Atg8 recycling. The EMBO Journal. 34(21). 2703–2719. 36 indexed citations
5.
Eiyama, Akinori & Koji Okamoto. (2015). Protein N-terminal Acetylation by the NatA Complex Is Critical for Selective Mitochondrial Degradation. Journal of Biological Chemistry. 290(41). 25034–25044. 30 indexed citations
6.
Eiyama, Akinori & Koji Okamoto. (2015). PINK1/Parkin-mediated mitophagy in mammalian cells. Current Opinion in Cell Biology. 33. 95–101. 469 indexed citations breakdown →
7.
Eiyama, Akinori, Noriko Kondo‐Okamoto, & Koji Okamoto. (2013). Mitochondrial degradation during starvation is selective and temporally distinct from bulk autophagy in yeast. FEBS Letters. 587(12). 1787–1792. 50 indexed citations
8.
Kaneko‐Kawano, Takako, Fugo Takasu, Honda Naoki, et al.. (2012). Dynamic Regulation of Myosin Light Chain Phosphorylation by Rho-kinase. PLoS ONE. 7(6). e39269–e39269. 45 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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