Eri Hirata

769 total citations · 1 hit paper
9 papers, 547 citations indexed

About

Eri Hirata is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Eri Hirata has authored 9 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Eri Hirata's work include Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Eri Hirata is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Eri Hirata collaborates with scholars based in Japan, Belgium and United States. Eri Hirata's co-authors include Kuninori Suzuki, Nobuo N. Noda, Yoshinori Ohsumi, Hitoshi Nakatogawa, Tetsuya Kotani, Takuo Osawa, Yoshikazu Ohya, Jahangir Md. Alam, Akinori Yamasaki and Daisuke Noshiro and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Eri Hirata

9 papers receiving 545 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Atg2 mediates direct lipid transfer between membranes for autophagosome formation

2019 321 citations Takuo Osawa, Tetsuya Kotani et al. Nature Structural & Molecular Biology profile →

Peers

Eri Hirata

EPIDE

MB

CB

PHYSI

BIOCH

Kazuaki Matoba Japan

Machiko Sakoh‐Nakatogawa Japan

Rajendra Boggavarapu Switzerland

Norito Tamura Japan

Ralph Hardenberg Netherlands

Ulrike D. Epple Germany

Katherine Anne Tucker United States

Evelyn Welter Germany

Wakana Adachi Japan

Petra Schlotterhose Germany

Kazuaki Matoba Japan

Eri Hirata

492 ×1.4

EPIDE

329 ×1.1

MB

282 ×1.2

CB

87 ×1.4

PHYSI

50 ×0.8

BIOCH

Citations per year, relative to Eri Hirata Eri Hirata (= 1×) peers Kazuaki Matoba

Countries citing papers authored by Eri Hirata

Since Specialization

Citations

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

Fields of papers citing papers by Eri Hirata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eri Hirata

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

All Works

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9 of 9 papers shown

1.

Hirata, Eri, et al.. (2024). Molecular characterization of Rft1, an ER membrane protein associated with congenital disorder of glycosylation RFT1-CDG. Journal of Biological Chemistry. 300(8). 107584–107584. 3 indexed citations

2.

Hirata, Eri, et al.. (2021). Atg15 in Saccharomyces cerevisiae consists of two functionally distinct domains. Molecular Biology of the Cell. 32(8). 645–663. 12 indexed citations

3.

Yamasaki, Akinori, Jahangir Md. Alam, Daisuke Noshiro, et al.. (2020). Liquidity Is a Critical Determinant for Selective Autophagy of Protein Condensates. Molecular Cell. 77(6). 1163–1175.e9. 126 indexed citations

4.

Osawa, Takuo, Tetsuya Kotani, Eri Hirata, et al.. (2019). Atg2 mediates direct lipid transfer between membranes for autophagosome formation. Nature Structural & Molecular Biology. 26(4). 281–288. 321 indexed citations breakdown →

5.

Wang, Yang, et al.. (2018). Global study of holistic morphological effectors in the budding yeast Saccharomyces cerevisiae. BMC Genomics. 19(1). 21 indexed citations

6.

Hirata, Eri, Yoshikazu Ohya, & Kuninori Suzuki. (2017). Atg4 plays an important role in efficient expansion of autophagic isolation membranes by cleaving lipidated Atg8 in Saccharomyces cerevisiae. PLoS ONE. 12(7). e0181047–e0181047. 36 indexed citations

7.

Hirata, Eri, et al.. (2015). Visualization of Atg3 during Autophagosome Formation in Saccharomyces cerevisiae. Journal of Biological Chemistry. 290(13). 8146–8153. 24 indexed citations

8.

Hirata, Eri, et al.. (2009). Derivation of Vibration Parameters for Repulsive Magnets Type Vibration Limit Switch. Journal of the Magnetics Society of Japan. 33(2). 114–117. 1 indexed citations

9.

Hirata, Eri, et al.. (1991). Bioquimica e metabolismo do etanol. 3 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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