Keisuke Mochida

1.3k total citations · 1 hit paper
27 papers, 922 citations indexed

About

Keisuke Mochida is a scholar working on Plant Science, Epidemiology and Molecular Biology. According to data from OpenAlex, Keisuke Mochida has authored 27 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Keisuke Mochida's work include Plant Physiology and Cultivation Studies (10 papers), Autophagy in Disease and Therapy (9 papers) and Horticultural and Viticultural Research (9 papers). Keisuke Mochida is often cited by papers focused on Plant Physiology and Cultivation Studies (10 papers), Autophagy in Disease and Therapy (9 papers) and Horticultural and Viticultural Research (9 papers). Keisuke Mochida collaborates with scholars based in Japan, United States and France. Keisuke Mochida's co-authors include Hitoshi Nakatogawa, Hiromi Kirisako, Yoshinori Ohsumi, Yayoi Kimura, Yu Oikawa, Hisashi Hirano, Hiroyuki Itamura, Michiko Koizumi, Eri Asai and Machiko Sakoh‐Nakatogawa and has published in prestigious journals such as Nature, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Keisuke Mochida

25 papers receiving 907 citations

Hit Papers

Receptor-mediated selective autophagy degrades the endopl... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Mochida Japan 11 578 461 433 140 83 27 922
Taras Y. Nazarko United States 17 487 0.8× 530 1.1× 187 0.4× 72 0.5× 35 0.4× 35 817
Martina Wirth United Kingdom 14 608 1.1× 404 0.9× 239 0.6× 58 0.4× 111 1.3× 22 946
Machiko Sakoh‐Nakatogawa Japan 8 387 0.7× 256 0.6× 228 0.5× 47 0.3× 58 0.7× 8 520
Ingrid Bhatia Kiššová Slovakia 6 425 0.7× 419 0.9× 161 0.4× 36 0.3× 36 0.4× 7 619
Sandra Malmgren Hill Sweden 11 265 0.5× 491 1.1× 219 0.5× 42 0.3× 23 0.3× 13 730
Natalia Yu. Rogova Germany 9 326 0.6× 333 0.7× 126 0.3× 31 0.2× 54 0.7× 10 536
Maria A. Bauer Austria 12 228 0.4× 432 0.9× 67 0.2× 57 0.4× 34 0.4× 15 703
Kenji Satoo Japan 5 679 1.2× 433 0.9× 278 0.6× 58 0.4× 101 1.2× 5 825
Valeria Wanke Italy 12 195 0.3× 1.5k 3.3× 362 0.8× 292 2.1× 43 0.5× 15 1.7k
Pamela J. Trotter United States 12 110 0.2× 782 1.7× 468 1.1× 88 0.6× 11 0.1× 18 1.1k

Countries citing papers authored by Keisuke Mochida

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Mochida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Mochida

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Mochida. A scholar is included among the top collaborators of Keisuke Mochida 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 Mochida. Keisuke Mochida 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.
Li, Ziyang, Keisuke Mochida, & Hitoshi Nakatogawa. (2024). Macronucleophagy maintains cell viability under nitrogen starvation by modulating micronucleophagy. Nature Communications. 15(1). 10670–10670.
2.
Mochida, Keisuke & Hitoshi Nakatogawa. (2022). ER ‐phagy: selective autophagy of the endoplasmic reticulum. EMBO Reports. 23(8). e55192–e55192. 88 indexed citations
3.
Mochida, Keisuke & Hitoshi Nakatogawa. (2022). Atg39 binding to the inner nuclear membrane triggers nuclear envelope deformation in piecemeal macronucleophagy. Autophagy. 18(12). 3046–3047. 4 indexed citations
4.
Mochida, Keisuke, et al.. (2021). Atg39 links and deforms the outer and inner nuclear membranes in selective autophagy of the nucleus. The Journal of Cell Biology. 221(2). 28 indexed citations
5.
Mochida, Keisuke, Akinori Yamasaki, Kazuaki Matoba, et al.. (2020). Super-assembly of ER-phagy receptor Atg40 induces local ER remodeling at contacts with forming autophagosomal membranes. Nature Communications. 11(1). 3306–3306. 47 indexed citations
6.
Kubo, Hiroyuki, et al.. (2016). Acquiring Curvature-Dependent Reflectance Function from Translucent Material. 182–185. 1 indexed citations
7.
Mochida, Keisuke, Yu Oikawa, Yayoi Kimura, et al.. (2015). Receptor-mediated selective autophagy degrades the endoplasmic reticulum and the nucleus. Nature. 522(7556). 359–362. 471 indexed citations breakdown →
8.
Nakatogawa, Hitoshi & Keisuke Mochida. (2015). Reticulophagy and nucleophagy: New findings and unsolved issues. Autophagy. 11(12). 2377–2378. 54 indexed citations
9.
Toyota, Kenji, et al.. (2015). RFLP analysis reveals the genealogical relation of novel Japanese persimmon ‘Saijo’. Scientia Horticulturae. 199. 71–74. 1 indexed citations
10.
Mochida, Keisuke, Yoshinori Ohsumi, & Hitoshi Nakatogawa. (2014). Hrr25 phosphorylates the autophagic receptor Atg34 to promote vacuolar transport of α‐mannosidase under nitrogen starvation conditions. FEBS Letters. 588(21). 3862–3869. 29 indexed citations
11.
Mochida, Keisuke, Hiromi Kirisako, Michiko Koizumi, et al.. (2014). Hrr25 triggers selective autophagy–related pathways by phosphorylating receptor proteins. The Journal of Cell Biology. 207(1). 91–105. 92 indexed citations
12.
Mochida, Keisuke, et al.. (2014). Skin Browning and Expression of PPO, STS, and CHS Genes in the Grape Berries of ‘Shine Muscat’. Journal of the Japanese Society for Horticultural Science. 83(2). 122–132. 22 indexed citations
13.
Tsurunaga, Yoko, et al.. (2008). Functional Component Contents in Mature Leaves, Young Shoots, and Adventitious Shoots of Japanese Persimmon 'Saijo'. Food Science and Technology Research. 14(1). 62–66. 4 indexed citations
14.
Mochida, Keisuke, et al.. (2008). Effects of Mn Application into Soil and Adjustment of Soil pH on the Prevention of On-Tree Fruit Softening in Japanese Persimmon ‘Saijo’. Horticultural Research (Japan). 7(1). 33–38. 3 indexed citations
15.
Mochida, Keisuke, et al.. (2007). Selection of high-yielding strains in early-ripening typed 'Saijo' persimmon [Diospyros kaki]. Horticultural Research (Japan). 1 indexed citations
16.
Mochida, Keisuke & Hiroyuki Itamura. (2007). Cause of Pre-harvest Fruit Softening and Comparison among Early-Ripening Strains of Japanese Persimmon ‘Saijo’. Horticultural Research (Japan). 6(1). 97–103. 3 indexed citations
17.
Mochida, Keisuke, et al.. (2007). Selection of High-Yielding Strains in Early-Ripening Typed ‘Saijo’ Persimmon. Horticultural Research (Japan). 6(1). 105–111. 1 indexed citations
18.
Tsurunaga, Yoko, et al.. (2006). Effect of Picking Time on Contents of Functional Component in Leaf of Japanese Persimmon ‘Saijo’. Horticultural Research (Japan). 5(3). 321–324. 2 indexed citations
19.
Tsurunaga, Yoko, et al.. (2004). Effects of Manufacturing Process on Functionality and Functional Component of Persimmon Leaf Tea. Nippon Shokuhin Kagaku Kogaku Kaishi. 51(8). 401–405. 4 indexed citations
20.
Matsumoto, Takeshi, et al.. (2001). Cryopreservation of persimmon (Diospyros kaki Thunb.) by vitrification of dormant shoot tips. Plant Cell Reports. 20(5). 398–402. 34 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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