Tsunehiro Mizushima

8.0k citations
60 papers · 5.5k indexed · 3 hit papers · h-index 29
Topics
Ubiquitin and proteasome pathways (30 papers)Glycosylation and Glycoproteins Research (17 papers)Endoplasmic Reticulum Stress and Disease (13 papers)

In The Last Decade

Tsunehiro Mizushima

59 papers receiving 5.4k citations

Hit Papers

Phosphorylation of p62 Activates the Ke...1998202620072016201319982008250500750

Peers

Tsunehiro Mizushima
Comparison fields: 5 of 126
  • Molecular Biology 4.2k
  • Epidemiology 1.5k
  • Cell Biology 1.1k
  • Oncology 539
  • Immunology 502
Replace Frank Löhr with:
Frank Löhr Germany
Michael Boyce United States
Matthieu Schapira Canada
Chris Meisinger Germany
Shigemi Matsuyama United States
Peter E. Czabotar Australia
Masoud Vedadi Canada
John E. Burke Canada
Ching‐Shih Chen United States
Ronald Jemmerson United States
Tsunehiro Mizushima relative to Frank Löhr Germany Frank Löhr's profile →
Citations per field
00.5×1.5×1.9×
Frank Löhr · 1×
Citations per year

Countries citing papers authored by Tsunehiro Mizushima

Since Specialization
Citations

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

Fields of papers citing papers by Tsunehiro Mizushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsunehiro Mizushima

This figure shows the co-authorship network connecting the top 25 collaborators of Tsunehiro Mizushima. A scholar is included among the top collaborators of Tsunehiro Mizushima 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 Tsunehiro Mizushima. Tsunehiro Mizushima 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 0
2 2
3 7
4 135
5 1
6 6
7 37
8 47
9 24
10 158
11 24
12 29
13 179
14 44
15 6
16
Structural Basis for Sorting Mechanism of p62 in Selective Autophagybreakdown →
642
17 413
18 32
19 117
20 2

About Tsunehiro Mizushima

Tsunehiro Mizushima is a scholar working on Cell Biology, Molecular Biology and Biotechnology, having authored 60 papers that have together received 5.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (30 papers), Glycosylation and Glycoproteins Research (17 papers) and Endoplasmic Reticulum Stress and Disease (13 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (4.2k citations) and Epidemiology (1.5k citations). Tsunehiro Mizushima has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Keiji Tanaka, Tomitake Tsukihara, Kenji Takagi, Masaaki Komatsu, Yu‐shin Sou, Yoshinobu Ichimura, Takashi Yamane, Eiki Yamashita, Masayuki Yamamoto and Toshiaki Fukutomi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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