Hidetaka Kosako

9.8k citations
118 papers · 7.6k indexed · 2 hit papers · h-index 43

Impact in

Papers in

    • Microtubule and mitosis dynamics 12
    • Cellular transport and secretion 11
    • Endoplasmic Reticulum Stress and Disease 9

Hidetaka Kosako

112 papers receiving 7.6k citations

Hit Papers

Ubiquitin is phosphorylated by PINK1 to activate parkin 2014 · 1.1k citations
1.1k20122026201620212505007501000

Peers

Hidetaka Kosako
Comparison fields: 5 of 127
  • Developmental Neuroscience 631
  • Aging 209
  • Cell Biology 1.9k
  • Molecular Biology 5.3k
  • Neurology 787
Replace Wim Annaert with:
Wim Annaert Belgium
Robert Layfield United Kingdom
Mária Deák United Kingdom
Dos D. Sarbassov United States
Shengyun Fang United States
Kazuyoshi Yonezawa Japan
Neil Q. McDonald United Kingdom
Brian Popko United States
Henryk Dudek United States
Alexander M. van der Bliek United States
Hidetaka Kosako relative to Wim Annaert Belgium Wim Annaert's profile →
Citations per field
00.5×2.6×
Wim Annaert · 1×
Citations per year

Countries citing papers authored by Hidetaka Kosako

Since Specialization
Citations

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

Fields of papers citing papers by Hidetaka Kosako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hidetaka Kosako, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hidetaka Kosako Line = papers co-authored together Hidetaka Kosako links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20242
5 20249
6 20248
7 20242
8 20245
9 20240
10 20242
11 202319
12 202325
13 20236
14 20232
15 202332
16 2022129
17 202243
18 202114
19 201942
20 2013175

About Hidetaka Kosako

Hidetaka Kosako is a scholar working on Aging, Cell Biology, Molecular Biology, Immunology and Developmental Neuroscience, having authored 118 papers that have together received 7.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Ubiquitin and proteasome pathways (18 papers), Mitochondrial Function and Pathology (14 papers), Microtubule and mitosis dynamics (12 papers), Cellular transport and secretion (11 papers), RNA Research and Splicing (10 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Protein Kinase Regulation and GTPase Signaling (9 papers). The work is most often cited by research in Developmental Neuroscience (631 citations), Aging (209 citations), Cell Biology (1.9k citations), Molecular Biology (5.3k citations) and Neurology (787 citations). Hidetaka Kosako has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Eisuke Nishida, Yukiko Gotoh, Noriyuki Matsuda, Keiji Tanaka, Fumika Koyano, Mayumi Kimura, Masaki Inagaki, Kei Okatsu, Yasushi Saeki and Hirohide Takebayashi. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, The EMBO Journal, Cell Reports and The Journal of Cell Biology.

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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