Keisuke Obara

2.3k total citations
35 papers, 1.8k citations indexed

About

Keisuke Obara is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Keisuke Obara has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Cell Biology and 11 papers in Epidemiology. Recurrent topics in Keisuke Obara's work include Cellular transport and secretion (14 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Autophagy in Disease and Therapy (10 papers). Keisuke Obara is often cited by papers focused on Cellular transport and secretion (14 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Autophagy in Disease and Therapy (10 papers). Keisuke Obara collaborates with scholars based in Japan and United States. Keisuke Obara's co-authors include Yoshinori Ohsumi, Takayuki Sekito, K Niimi, Akio Kihara, Hiroo Fukuda, Hideo Kuriyama, Nobuo Suzuki, Fuyuhiko Inagaki, Yūko Fujioka and Takeshi Noda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Keisuke Obara

35 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Obara Japan 18 1.0k 981 612 409 185 35 1.8k
Steingrim Svenning Norway 8 833 0.8× 606 0.6× 207 0.3× 355 0.9× 94 0.5× 9 1.3k
Hilla Weidberg Israel 14 1.7k 1.7× 1.3k 1.3× 747 1.2× 138 0.3× 311 1.7× 17 2.5k
Jean H. Overmeyer United States 20 579 0.6× 941 1.0× 545 0.9× 267 0.7× 149 0.8× 28 1.8k
Takao Hanada Japan 11 1.1k 1.1× 871 0.9× 383 0.6× 115 0.3× 179 1.0× 15 1.6k
Chao-Wen Wang Taiwan 22 1.1k 1.1× 1.2k 1.2× 988 1.6× 325 0.8× 185 1.0× 30 2.2k
Daniela B. Munafó United States 15 1.0k 1.0× 855 0.9× 562 0.9× 100 0.2× 285 1.5× 19 2.0k
Anne Petiot France 16 1.4k 1.4× 1.2k 1.2× 687 1.1× 86 0.2× 287 1.6× 22 2.3k
Péter Nagy Hungary 21 1.2k 1.2× 697 0.7× 640 1.0× 94 0.2× 281 1.5× 33 2.0k
Lindsey N. Young United States 12 731 0.7× 654 0.7× 349 0.6× 143 0.3× 155 0.8× 16 1.3k
Ewald H. Hettema United Kingdom 31 602 0.6× 3.1k 3.1× 624 1.0× 180 0.4× 97 0.5× 51 3.6k

Countries citing papers authored by Keisuke Obara

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Obara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Obara

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

All Works

20 of 20 papers shown
1.
Nonaka, Keisuke, Kohei Nishimura, Kazuma Uesaka, et al.. (2025). Snf1 and yeast GSK3-β activates Tda1 to suppress glucose starvation signaling. EMBO Reports. 26(11). 2910–2930. 1 indexed citations
2.
Obara, Keisuke, Kohei Nishimura, & Takumi Kamura. (2024). E3 Ligases Regulate Organelle Inheritance in Yeast. Cells. 13(4). 292–292. 3 indexed citations
3.
Ogawa, Yoshitaka, Kohei Nishimura, Keisuke Obara, & Takumi Kamura. (2023). Development of AlissAID system targeting GFP or mCherry fusion protein. PLoS Genetics. 19(6). e1010731–e1010731. 3 indexed citations
4.
Bessho‐Uehara, Kanako, Diane Wang, Rosalyn B. Angeles‐Shim, et al.. (2023). Regulator of Awn Elongation 3 , an E3 ubiquitin ligase, is responsible for loss of awns during African rice domestication. Proceedings of the National Academy of Sciences. 120(4). e2207105120–e2207105120. 13 indexed citations
5.
Obara, Keisuke, et al.. (2022). Proteolysis of adaptor protein Mmr1 during budding is necessary for mitochondrial homeostasis in Saccharomyces cerevisiae. Nature Communications. 13(1). 2005–2005. 9 indexed citations
6.
Suzuki, Yuta, et al.. (2022). Dot6/Tod6 degradation fine-tunes the repression of ribosome biogenesis under nutrient-limited conditions. iScience. 25(3). 103986–103986. 5 indexed citations
7.
8.
Ohnuki, Shinsuke, Hiroki Okada, Keisuke Obara, et al.. (2017). Systematic analysis of Ca2+homeostasis inSaccharomyces cerevisiaebased on chemical-genetic interaction profiles. Molecular Biology of the Cell. 28(23). 3415–3427. 9 indexed citations
9.
Obara, Keisuke, et al.. (2016). Loop 5 region is important for the activity of the long-chain base transporter Rsb1. The Journal of Biochemistry. 161(2). mvw059–mvw059. 4 indexed citations
10.
Obara, Keisuke, et al.. (2015). The C-terminal Cytosolic Region of Rim21 Senses Alterations in Plasma Membrane Lipid Composition. Journal of Biological Chemistry. 290(52). 30797–30805. 20 indexed citations
11.
Obara, Keisuke, et al.. (2014). A novel factorOPT2mediates exposure of phospholipids during cellular adaptation to altered lipid asymmetry. Journal of Cell Science. 128(1). 61–9. 10 indexed citations
12.
Cheng, Jinglei, Akikazu Fujita, Hayashi Yamamoto, et al.. (2014). Yeast and mammalian autophagosomes exhibit distinct phosphatidylinositol 3-phosphate asymmetries. Nature Communications. 5(1). 3207–3207. 81 indexed citations
13.
Obara, Keisuke, et al.. (2013). Effects on vesicular transport pathways at the late endosome in cells with limited very long-chain fatty acids. Journal of Lipid Research. 54(3). 831–842. 25 indexed citations
14.
Obara, Keisuke, Hayashi Yamamoto, & Akio Kihara. (2012). Membrane Protein Rim21 Plays a Central Role in Sensing Ambient pH in Saccharomyces cerevisiae. Journal of Biological Chemistry. 287(46). 38473–38481. 54 indexed citations
15.
Obara, Keisuke, et al.. (2011). Sphingolipid synthesis is involved in autophagy in Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 410(4). 786–791. 37 indexed citations
16.
Hu, Guowu, Moshe Hacham, Scott R. Waterman, et al.. (2008). PI3K signaling of autophagy is required for starvation tolerance and virulenceof Cryptococcus neoformans. Journal of Clinical Investigation. 118(3). 1186–1197. 194 indexed citations
17.
Obara, Keisuke, Takayuki Sekito, K Niimi, & Yoshinori Ohsumi. (2008). The Atg18-Atg2 Complex Is Recruited to Autophagic Membranes via Phosphatidylinositol 3-Phosphate and Exerts an Essential Function. Journal of Biological Chemistry. 283(35). 23972–23980. 257 indexed citations
18.
Obara, Keisuke, Takeshi Noda, K Niimi, & Yoshinori Ohsumi. (2008). Transport of phosphatidylinositol 3‐phosphate into the vacuole via autophagic membranes in Saccharomyces cerevisiae. Genes to Cells. 13(6). 537–547. 115 indexed citations
19.
Suzuki, Nobuo, et al.. (2006). Structure of Atg5·Atg16, a Complex Essential for Autophagy. Journal of Biological Chemistry. 282(9). 6763–6772. 209 indexed citations
20.

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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