Yasushi Saeki

11.5k total citations · 3 hit papers
109 papers, 8.6k citations indexed

About

Yasushi Saeki is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Yasushi Saeki has authored 109 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 37 papers in Cell Biology and 24 papers in Epidemiology. Recurrent topics in Yasushi Saeki's work include Ubiquitin and proteasome pathways (89 papers), Endoplasmic Reticulum Stress and Disease (30 papers) and Autophagy in Disease and Therapy (23 papers). Yasushi Saeki is often cited by papers focused on Ubiquitin and proteasome pathways (89 papers), Endoplasmic Reticulum Stress and Disease (30 papers) and Autophagy in Disease and Therapy (23 papers). Yasushi Saeki collaborates with scholars based in Japan, Germany and United States. Yasushi Saeki's co-authors include Keiji Tanaka, Hikaru Tsuchiya, Akio Toh‐e, Hideyoshi Yokosawa, Fumiaki Ohtake, Kazuhiro Iwaï, Noriyuki Matsuda, Kei Okatsu, Tomoko Nakagawa and Fumika Koyano and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yasushi Saeki

103 papers receiving 8.6k citations

Hit Papers

Ubiquitin is phosphorylated by PINK1 to activate parkin 2009 2026 2014 2020 2014 2009 2014 250 500 750 1000

Peers

Yasushi Saeki
Comparison fields: 5 of 116
  • Molecular Biology 6.9k
  • Epidemiology 2.5k
  • Cell Biology 1.8k
  • Oncology 1.6k
  • Immunology 1.3k
Replace Mark Peggie with:
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Noriko Oshiro Japan
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Mark Peggie United Kingdom View profile →
Citations per field, relative to Yasushi Saeki
Yasushi Saeki · 1×
Citations per year, relative to Yasushi Saeki
Yasushi Saeki · 1×

Countries citing papers authored by Yasushi Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Saeki. A scholar is included among the top collaborators of Yasushi Saeki 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 Yasushi Saeki. Yasushi Saeki 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
# Work Indexed citations
1 1
2 0
3 2
4 7
5 10
6 20
7 19
8 14
9 105
10 39
11 96
12 216
13 47
14
Ubiquitination of exposed glycoproteins by SCF FBXO27 directs damaged lysosomes for autophagy
9
15
Mutations in the deubiquitinase gene USP8 cause Cushing's disease breakdown →
405
16 29
17 82
18 141
19 113
20 109

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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