Miharu Maeda

580 total citations
13 papers, 372 citations indexed

About

Miharu Maeda is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, Miharu Maeda has authored 13 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 10 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Miharu Maeda's work include Cellular transport and secretion (10 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Miharu Maeda is often cited by papers focused on Cellular transport and secretion (10 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Miharu Maeda collaborates with scholars based in Japan and United States. Miharu Maeda's co-authors include Kota Saito, Toshiaki Katada, Ke Xu, Liang Ge, Randy Schekman, Min Zhang, Dawei Liu, Samuel J. Kenny, Kohichi Matsunaga and Tetsuro Izumi and has published in prestigious journals such as The Journal of Cell Biology, Scientific Reports and Developmental Cell.

In The Last Decade

Miharu Maeda

11 papers receiving 369 citations

Peers

Miharu Maeda
Luke A. Perera United Kingdom
Marisa Loi Switzerland
Mikhail V. Egorov Italy
Hege Avsnes Dale Norway
Brian K. Sato United States
R. Militello Argentina
Shuwei Xie United States
Ishido Miwako Japan
Christopher L. Lord United States
Akinori Yamasaki Japan
Luke A. Perera United Kingdom
Miharu Maeda
Citations per year, relative to Miharu Maeda Miharu Maeda (= 1×) peers Luke A. Perera

Countries citing papers authored by Miharu Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Miharu Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miharu Maeda

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

All Works

13 of 13 papers shown
1.
2.
Maeda, Miharu, Masashi Arakawa, & Kota Saito. (2025). Disease‐Associated Factors at the Endoplasmic Reticulum–Golgi Interface. Traffic. 26(1-3). e70001–e70001.
3.
Maeda, Miharu, et al.. (2024). Small GTPase ActIvitY ANalyzing (SAIYAN) system: A method to detect GTPase activation in living cells. The Journal of Cell Biology. 223(10). 3 indexed citations
4.
Matsunaga, Kohichi, et al.. (2022). Cargo receptor Surf4 regulates endoplasmic reticulum export of proinsulin in pancreatic β-cells. Communications Biology. 5(1). 16 indexed citations
5.
Maeda, Miharu, et al.. (2020). Mitotic ER Exit Site Disassembly and Reassembly Are Regulated by the Phosphorylation Status of TANGO1. Developmental Cell. 55(2). 237–250.e5. 21 indexed citations
6.
Maeda, Miharu, et al.. (2020). Mitotic ER exit site dynamics: insights into blockade of secretion from the ER during mitosis. Molecular & Cellular Oncology. 7(6). 1832420–1832420. 2 indexed citations
7.
Maeda, Miharu, Kazuo Kurokawa, Toshiaki Katada, Akihiko Nakano, & Kota Saito. (2019). COPII proteins exhibit distinct subdomains within each ER exit site for executing their functions. Scientific Reports. 9(1). 7346–7346. 8 indexed citations
8.
Saito, Kota & Miharu Maeda. (2019). Not just a cargo receptor for large cargoes; an emerging role of TANGO1 as an organizer of ER exit sites. The Journal of Biochemistry. 166(2). 115–119. 19 indexed citations
9.
Ge, Liang, Min Zhang, Samuel J. Kenny, et al.. (2017). Remodeling of ER ‐exit sites initiates a membrane supply pathway for autophagosome biogenesis. EMBO Reports. 18(9). 1586–1603. 126 indexed citations
10.
Saito, Kota, Miharu Maeda, & Toshiaki Katada. (2017). Regulation of the Sar1 GTPase Cycle Is Necessary for Large Cargo Secretion from the Endoplasmic Reticulum. Frontiers in Cell and Developmental Biology. 5. 75–75. 46 indexed citations
11.
Maeda, Miharu, Toshiaki Katada, & Kota Saito. (2017). TANGO1 recruits Sec16 to coordinately organize ER exit sites for efficient secretion. The Journal of Cell Biology. 216(6). 1731–1743. 60 indexed citations
12.
Maeda, Miharu, Kota Saito, & Toshiaki Katada. (2016). Distinct isoform-specific complexes of TANGO1 cooperatively facilitate collagen secretion from the endoplasmic reticulum. Molecular Biology of the Cell. 27(17). 2688–2696. 41 indexed citations
13.
Maeda, Miharu, et al.. (2016). Dual function of cTAGE5 in collagen export from the endoplasmic reticulum. Molecular Biology of the Cell. 27(13). 2008–2013. 30 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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2026