Taki Nishimura

2.9k total citations · 2 hit papers
27 papers, 1.8k citations indexed

About

Taki Nishimura is a scholar working on Cell Biology, Epidemiology and Molecular Biology. According to data from OpenAlex, Taki Nishimura has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cell Biology, 18 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Taki Nishimura's work include Autophagy in Disease and Therapy (18 papers), Cellular transport and secretion (12 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Taki Nishimura is often cited by papers focused on Autophagy in Disease and Therapy (18 papers), Cellular transport and secretion (12 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Taki Nishimura collaborates with scholars based in Japan, United Kingdom and Germany. Taki Nishimura's co-authors include Noboru Mizushima, Sharon A. Tooze, Yuriko Sakamaki, Anoop Kumar G. Velikkakath, Naotada Ishihara, Tohru Natsume, Peidu Jiang, Eisuke Itakura, Tomohisa Hatta and Hiroyuki Arai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Taki Nishimura

25 papers receiving 1.8k citations

Hit Papers

The HOPS complex mediates autophagosome–lysosome fusion t... 2014 2026 2018 2022 2014 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taki Nishimura Japan 19 1.2k 761 748 293 242 27 1.8k
Prasanna Satpute‐Krishnan United States 11 888 0.7× 1.0k 1.3× 638 0.9× 128 0.4× 306 1.3× 14 1.8k
Tomer Shpilka Israel 12 1.7k 1.4× 1.3k 1.7× 813 1.1× 300 1.0× 355 1.5× 17 2.7k
Weiliang Fan United States 11 1.5k 1.3× 988 1.3× 582 0.8× 306 1.0× 214 0.9× 15 2.0k
Hilla Weidberg Israel 14 1.7k 1.4× 1.3k 1.7× 747 1.0× 311 1.1× 240 1.0× 17 2.5k
Orane Visvikis France 14 826 0.7× 962 1.3× 365 0.5× 192 0.7× 278 1.1× 20 1.9k
Elsje G. Otten United Kingdom 11 861 0.7× 946 1.2× 312 0.4× 144 0.5× 270 1.1× 15 1.8k
Chieko Kishi‐Itakura United Kingdom 10 1.5k 1.2× 751 1.0× 640 0.9× 324 1.1× 269 1.1× 11 1.9k
Rossella Venditti Italy 14 763 0.6× 997 1.3× 671 0.9× 462 1.6× 312 1.3× 23 2.0k
Zhiyuan Yao United States 7 1.3k 1.1× 902 1.2× 396 0.5× 154 0.5× 172 0.7× 17 1.8k

Countries citing papers authored by Taki Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Taki Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taki Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Taki Nishimura. A scholar is included among the top collaborators of Taki Nishimura 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 Taki Nishimura. Taki Nishimura 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.
Zhang, Wenxin, et al.. (2024). Real-Time Monitoring of ATG8 Lipidation In Vitro Using Fluorescence Spectroscopy. BIO-PROTOCOL. 14(1). e4917–e4917.
2.
Gubaš, Andrea, Harold B.J. Jefferies, Taki Nishimura, et al.. (2024). WIPI2b recruitment to phagophores and ATG16L1 binding are regulated by ULK1 phosphorylation. EMBO Reports. 25(9). 3789–3811. 7 indexed citations
3.
Zhang, Wenxin, Taki Nishimura, Chieko Saito, et al.. (2023). Autophagosome membrane expansion is mediated by the N-terminus and cis-membrane association of human ATG8s. eLife. 12. 22 indexed citations
4.
Tooze, Sharon A., et al.. (2023). Membrane association of the ATG8 conjugation machinery emerges as a key regulatory feature for autophagosome biogenesis. FEBS Letters. 598(1). 107–113. 3 indexed citations
6.
Nishimura, Taki, et al.. (2023). Unique amphipathic α helix drives membrane insertion and enzymatic activity of ATG3. Science Advances. 9(25). eadh1281–eadh1281. 11 indexed citations
7.
Nishimura, Taki. (2021). A Real-Time Phosphatidylinositol 4-Phosphate 5-Kinase Assay Using Fluorescence Spectroscopy. Methods in molecular biology. 2251. 121–132.
8.
Nishimura, Taki & Sharon A. Tooze. (2020). Emerging roles of ATG proteins and membrane lipids in autophagosome formation. Cell Discovery. 6(1). 32–32. 216 indexed citations breakdown →
9.
Chen, Zilei, Riko Hatakeyama, Raffaele Nicastro, et al.. (2020). TORC1 Determines Fab1 Lipid Kinase Function at Signaling Endosomes and Vacuoles. Current Biology. 31(2). 297–309.e8. 29 indexed citations
10.
Morishita, Hideaki, Yan Zhao, Norito Tamura, et al.. (2019). A critical role of VMP1 in lipoprotein secretion. eLife. 8. 51 indexed citations
11.
Nishimura, Taki & Christopher J. Stefan. (2019). Specialized ER membrane domains for lipid metabolism and transport. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(1). 158492–158492. 22 indexed citations
12.
Nishimura, Taki, et al.. (2018). Control of vacuole membrane homeostasis by a resident PI-3,5-kinase inhibitor. Proceedings of the National Academy of Sciences. 115(18). 4684–4689. 18 indexed citations
13.
Nishimura, Taki, Norito Tamura, Nozomu Kono, et al.. (2017). Autophagosome formation is initiated at phosphatidylinositol synthase‐enriched ER subdomains. The EMBO Journal. 36(12). 1719–1735. 158 indexed citations
14.
Uematsu, Masaaki, Taki Nishimura, Yuriko Sakamaki, Hayashi Yamamoto, & Noboru Mizushima. (2017). Accumulation of undegraded autophagosomes by expression of dominant-negative STX17 (syntaxin 17) mutants. Autophagy. 13(8). 1452–1464. 35 indexed citations
15.
Jiang, Peidu, Taki Nishimura, Yuriko Sakamaki, et al.. (2014). The HOPS complex mediates autophagosome–lysosome fusion through interaction with syntaxin 17. Molecular Biology of the Cell. 25(8). 1327–1337. 379 indexed citations breakdown →
16.
Nishimura, Taki, Y. Uchida, Tetyana Kudlyk, et al.. (2013). Oxysterol-binding protein (OSBP) is required for the perinuclear localization of intra-Golgi v-SNAREs. Molecular Biology of the Cell. 24(22). 3534–3544. 19 indexed citations
17.
Velikkakath, Anoop Kumar G., et al.. (2012). Mammalian Atg2 proteins are essential for autophagosome formation and important for regulation of size and distribution of lipid droplets. Molecular Biology of the Cell. 23(5). 896–909. 304 indexed citations
18.
Shibata, Masahiro, Kentaro Yoshimura, Hirosumi Tamura, et al.. (2010). LC3, a microtubule-associated protein1A/B light chain3, is involved in cytoplasmic lipid droplet formation. Biochemical and Biophysical Research Communications. 393(2). 274–279. 94 indexed citations
19.
Maekawa, Masashi, Takao Inoue, Taki Nishimura, et al.. (2009). Functional analysis of GS28, an intra‐Golgi SNARE, in Caenorhabditis elegans. Genes to Cells. 14(8). 1003–1013. 14 indexed citations
20.
Nishimura, Taki, Takao Inoué, Norihito Shibata, et al.. (2005). Inhibition of cholesterol biosynthesis by 25‐hydroxycholesterol is independent of OSBP. Genes to Cells. 10(8). 793–801. 44 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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