Yūko Fujioka

6.1k citations
55 papers · 4.8k indexed · 6 hit papers · h-index 32
Topics
Autophagy in Disease and Therapy (36 papers)Endoplasmic Reticulum Stress and Disease (16 papers)Ubiquitin and proteasome pathways (8 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Yūko Fujioka

54 papers receiving 4.8k citations

Hit Papers

The Atg12-Atg5 Conjugate Has a Novel E3-like Activity for...200720262013201920072008200920202014250500750

Peers

Yūko Fujioka
Comparison fields: 5 of 112
  • Epidemiology 3.3k
  • Molecular Biology 2.6k
  • Cell Biology 1.5k
  • Plant Science 517
  • Physiology 513
Replace Misuzu Baba with:
Misuzu Baba Japan
Hayashi Yamamoto Japan
Nobuo N. Noda Japan
Kuninori Suzuki Japan
Nicholas T. Ktistakis United Kingdom
Hitoshi Nakatogawa Japan
Michael Thumm Germany
Alexandra Stolz Germany
Tomohiro Yorimitsu Japan
Gonzalo A. Mardones Chile
Yūko Fujioka relative to Misuzu Baba Japan Misuzu Baba's profile →
Citations per field
00.5×10×
Misuzu Baba · 1×
Citations per year

Countries citing papers authored by Yūko Fujioka

Since Specialization
Citations

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

Fields of papers citing papers by Yūko Fujioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yūko Fujioka

This figure shows the co-authorship network connecting the top 25 collaborators of Yūko Fujioka. A scholar is included among the top collaborators of Yūko Fujioka 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 Yūko Fujioka. Yūko Fujioka 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
#WorkIndexed citations
1 1
2 27
3 19
4 31
5 74
6
Phase separation organizes the site of autophagosome formationbreakdown →
284
7 101
8 78
9 101
10 52
11 148
12 116
13 90
14 3
15
The Atg12-Atg5 Conjugate Has a Novel E3-like Activity for Protein Lipidation in Autophagybreakdown →
884
16 7
17 13
18 99
19 113
20 35

About Yūko Fujioka

Yūko Fujioka is a scholar working on Cell Biology, Physiology and Epidemiology, having authored 55 papers that have together received 4.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (36 papers), Endoplasmic Reticulum Stress and Disease (16 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Physiology (513 citations), Epidemiology (3.3k citations) and Cell Biology (1.5k citations). Yūko Fujioka has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yoshinori Ohsumi, Fuyuhiko Inagaki, Nobuo N. Noda, Nobuo Suzuki, Takao Hanada, Yoshinobu Ichimura, Hiroyuki Kumeta, Toshifumi Takao, Yoshinori Satomi and Kenji Satoo. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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