Yuta Ogasawara

642 total citations
9 papers, 443 citations indexed

About

Yuta Ogasawara is a scholar working on Epidemiology, Cell Biology and Biochemistry. According to data from OpenAlex, Yuta Ogasawara has authored 9 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Cell Biology and 4 papers in Biochemistry. Recurrent topics in Yuta Ogasawara's work include Autophagy in Disease and Therapy (8 papers), Lipid metabolism and biosynthesis (4 papers) and Calcium signaling and nucleotide metabolism (3 papers). Yuta Ogasawara is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Lipid metabolism and biosynthesis (4 papers) and Calcium signaling and nucleotide metabolism (3 papers). Yuta Ogasawara collaborates with scholars based in Japan and United States. Yuta Ogasawara's co-authors include Akitsugu Yamamoto, Toyoshi Fujimoto, Takuma Tsuji, Fan Wang, Gilbert Di Paolo, Claudia Dall’Armi, Abel R. Alcázar-Román, Xiang Zhou, Pietro De Camilli and Nobuo N. Noda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Yuta Ogasawara

9 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuta Ogasawara Japan	9	246	222	154	65	55	9	443
Douglas Grunwald United States	6	278 1.1×	394 1.8×	141 0.9×	16 0.2×	45 0.8×	6	549
Haeli Park United States	7	460 1.9×	315 1.4×	190 1.2×	55 0.8×	34 0.6×	8	747
Alexandra Dieterle Germany	6	330 1.3×	343 1.5×	117 0.8×	17 0.3×	47 0.9×	6	581
Mathieu Paquette Canada	6	289 1.2×	251 1.1×	67 0.4×	16 0.2×	71 1.3×	6	523
Miki Obata Japan	10	230 0.9×	156 0.7×	44 0.3×	30 0.5×	39 0.7×	13	416
Ya-Cheng Liao China	5	258 1.0×	62 0.3×	117 0.8×	54 0.8×	40 0.7×	10	386
Maria Matarese Italy	4	282 1.1×	252 1.1×	109 0.7×	11 0.2×	29 0.5×	5	524
Chido Mpamhanga United Kingdom	7	259 1.1×	314 1.4×	104 0.7×	11 0.2×	56 1.0×	11	499
Elite Possik Canada	10	194 0.8×	78 0.4×	43 0.3×	40 0.6×	27 0.5×	18	381
Marie Simon France	7	395 1.6×	48 0.2×	164 1.1×	81 1.2×	54 1.0×	7	573

Countries citing papers authored by Yuta Ogasawara

Since Specialization

Citations

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

Fields of papers citing papers by Yuta Ogasawara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Ogasawara

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Ogasawara. A scholar is included among the top collaborators of Yuta Ogasawara 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 Yuta Ogasawara. Yuta Ogasawara 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

Hama, Yutaro, Yuta Ogasawara, & Nobuo N. Noda. (2023). Autophagy and cancer: Basic mechanisms and inhibitor development. Cancer Science. 114(7). 2699–2708. 26 indexed citations

Cui, Jin, Yuta Ogasawara, Kazuaki Matoba, et al.. (2022). Targeting the ATG5-ATG16L1 Protein–Protein Interaction with a Hydrocarbon-Stapled Peptide Derived from ATG16L1 for Autophagy Inhibition. Journal of the American Chemical Society. 144(38). 17671–17679. 19 indexed citations

Tsuji, Takuma, et al.. (2021). Transmembrane phospholipid translocation mediated by Atg9 is involved in autophagosome formation. The Journal of Cell Biology. 220(3). 49 indexed citations

Ogasawara, Yuta, et al.. (2020). Long-term autophagy is sustained by activation of CCTβ3 on lipid droplets. Nature Communications. 11(1). 4480–4480. 34 indexed citations

Ogasawara, Yuta, Takuma Tsuji, & Toyoshi Fujimoto. (2020). Multifarious roles of lipid droplets in autophagy – Target, product, and what else?. Seminars in Cell and Developmental Biology. 108. 47–54. 21 indexed citations

Ogasawara, Yuta, Shintaro Kira, Yukio Mukai, Takeshi Noda, & Akitsugu Yamamoto. (2016). Ole1, fatty acid desaturase, is required for Atg9 delivery and isolation membrane expansion during autophagy in Saccharomyces cerevisiae. Biology Open. 6(1). 35–40. 15 indexed citations

Ogasawara, Yuta, Eisuke Itakura, Nozomu Kono, et al.. (2014). Stearoyl-CoA Desaturase 1 Activity Is Required for Autophagosome Formation. Journal of Biological Chemistry. 289(34). 23938–23950. 56 indexed citations

Dall’Armi, Claudia, Abel R. Alcázar-Román, Yuta Ogasawara, et al.. (2013). Regulation of Mammalian Autophagy by Class II and III PI 3-Kinases through PI3P Synthesis. PLoS ONE. 8(10). e76405–e76405. 151 indexed citations

Furuno, Akiko, Takashi Baba, Yukio Fujiki, et al.. (2011). Sec16B is involved in the endoplasmic reticulum export of the peroxisomal membrane biogenesis factor peroxin 16 (Pex16) in mammalian cells. Proceedings of the National Academy of Sciences. 108(31). 12746–12751. 72 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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