Eri Sakata

2.8k citations
35 papers · 2.1k · h-index 22

Impact in

Papers in

    • Ubiquitin and proteasome pathways 29
    • Glycosylation and Glycoproteins Research 11
    • RNA modifications and cancer 4
    • Peptidase Inhibition and Analysis 11
    • Cancer-related Molecular Pathways 3

Eri Sakata

34 papers receiving 2.1k citations

Peers

Eri Sakata
Comparison fields: 5 of 80
  • Structural Biology 83
  • Cell Biology 687
  • Molecular Biology 1.8k
  • Oncology 452
  • Epidemiology 495
Replace Atsushi Yamagata with:
Atsushi Yamagata Japan
Frédéric Frottin Germany
Yusuke Sato Japan
Radoslav I. Enchev United Kingdom
C. Patrick Lusk United States
Simone Reber Germany
Erika Seemüller Germany
Alessio Maiolica Switzerland
Oleksiy Kovtun Australia
Valérie Doye France
Eri Sakata relative to Atsushi Yamagata Japan Atsushi Yamagata's profile →
Citations per field
00.5×4.6×
Atsushi Yamagata · 1×
Citations per year

Countries citing papers authored by Eri Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Eri Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eri Sakata, 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 Eri Sakata Line = papers co-authored together Eri Sakata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2003191
3 2016159
4 2017125
5 2010112
6 2005105
7 2013103
8 2014100
9 2012100
10 200798
11 200897
12 201893
13 201592
14 201085
15 201158
16 200658
17 202035
18 200734
19 201632
20 201327

About Eri Sakata

Eri Sakata is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Cancer Research, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (29 papers), Glycosylation and Glycoproteins Research (11 papers), Peptidase Inhibition and Analysis (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Autophagy in Disease and Therapy (5 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Structural Biology (83 citations), Cell Biology (687 citations), Molecular Biology (1.8k citations), Oncology (452 citations) and Epidemiology (495 citations). Eri Sakata has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Wolfgang Baumeister, Keiji Tanaka, Florian Beck, Friedrich Förster, Koichi Kato, Günter Pfeifer, Yoshiki Yamaguchi, Jürgen M. Plitzko, A. Schweitzer and Stefan Bohn. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Nature Communications, Nature Structural & Molecular Biology and Cell Reports.

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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