Y. Eto

1.4k citations
66 papers · 1.2k · h-index 23

Impact in

Papers in

    • Lysosomal Storage Disorders Research 38
    • Glycosylation and Glycoproteins Research 10
    • Peroxisome Proliferator-Activated Receptors 5
    • RNA regulation and disease 4

Y. Eto

61 papers receiving 1.1k citations

Peers

Y. Eto
Comparison fields: 5 of 80
  • Physiology 549
  • Developmental Neuroscience 75
  • Cell Biology 208
  • Physiology 57
  • Clinical Biochemistry 59
Replace Hitoshi Nagara with:
Hitoshi Nagara Japan
Jessie Gu United States
Satoki Ueno Japan
Diego Grassi United States
Young Bin Hong South Korea
Mylvaganam Jeyakumar United Kingdom
Shlomit Erlich Israel
Nicoleta Moisoi United Kingdom
Norbert Werth Germany
Erkki Kuusisto Finland
Y. Eto relative to Hitoshi Nagara Japan Hitoshi Nagara's profile →
Citations per field
00.5×4.1×
Hitoshi Nagara · 1×
Citations per year

Countries citing papers authored by Y. Eto

Since Specialization
Citations

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

Fields of papers citing papers by Y. Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988122
2 200087
3 200167
4 197448
5 197248
6 200343
7 199942
8 200339
9 197139
10
A new glucocerebrosidase-gene missense mutation responsible for neuronopathic Gaucher disease in Japanese patients.
199139
11 197139
12 199738
13 200837
14 199936
15 200435
16 200033
17 197231
18 199931
19 200428
20 200127

About Y. Eto

Y. Eto is a scholar working on Physiology, Molecular Biology, Cell Biology, Organic Chemistry and Epidemiology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (38 papers), Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (10 papers), Cellular transport and secretion (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Trypanosoma species research and implications (5 papers), Cholesterol and Lipid Metabolism (4 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Physiology (549 citations), Developmental Neuroscience (75 citations), Cell Biology (208 citations), Physiology (57 citations) and Clinical Biochemistry (59 citations). Y. Eto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Toya Ohashi, Kotaro Suzuki, Hiroyuki Ida, Kazuhiko Watabe, Kihei Maekawa, Hiroshi Kawame, Owen M. Rennert, Kazuyuki Suzuki, Asuka Suzuki and Masahisa Kobayashi. Their work appears in journals such as Journal of Inherited Metabolic Disease, Journal of Neurochemistry, Biochemical and Biophysical Research Communications, Gene Therapy and European Journal of Pediatrics.

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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