Etsuko Ueta

539 citations
32 papers · 405 · h-index 12

Impact in

Papers in

Etsuko Ueta

30 papers receiving 396 citations

Peers

Etsuko Ueta
Comparison fields: 5 of 76
  • Clinical Biochemistry 59
  • Developmental Biology 18
  • Endocrinology, Diabetes and Metabolism 89
  • Molecular Biology 159
  • Genetics 56
Replace Deidre A. Winnier with:
Deidre A. Winnier United States
Hai‐qin Tang China
Kota Matsuki Japan
Phillip Williams United States
LA Velloso Brazil
Hiroaki Kakizawa Japan
Sho Osonoi Japan
Marina Heck Germany
A Virkamäki Finland
Akiko Tsunemi Japan
Etsuko Ueta relative to Deidre A. Winnier United States Deidre A. Winnier's profile →
Citations per field
00.5×1.5×2.3×
Deidre A. Winnier · 1×
Citations per year

Countries citing papers authored by Etsuko Ueta

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Ueta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201753
2 201840
3 201432
4
Relationships between matrix metalloproteinases and tissue inhibitor of metalloproteinases in the wall of abdominal aortic aneurysms.
200331
5 201727
6 201623
7 200921
8 202018
9 200916
10 200215
11 200213
12 202012
13 201810
14 200110
15 20049
16 20069
17 20028
18 20148
19 20077
20 20226

About Etsuko Ueta

Etsuko Ueta is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 32 papers that have together received 405 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Diabetes Treatment and Management (7 papers), Hedgehog Signaling Pathway Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Congenital limb and hand anomalies (4 papers), Advanced Glycation End Products research (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Clinical Biochemistry (59 citations), Developmental Biology (18 citations), Endocrinology, Diabetes and Metabolism (89 citations), Molecular Biology (159 citations) and Genetics (56 citations). Etsuko Ueta has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Ichiro Naruse, Kazuhiko Matsuzawa, Shin‐ichi Taniguchi, Shoichiro Izawa, Eiji Nanba, Keisuke Sumi, Masahiko Kato, Tsuyoshi Okura, Risa Nakamura and Kazuhiro Yamamoto. Their work appears in journals such as Diabetology & Metabolic Syndrome, PLoS ONE, BMJ Open Diabetes Research & Care, Bioscience Biotechnology and Biochemistry and Scientific 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.

Explore authors with similar magnitude of impact