Etsuko Ueta

31 papers receiving 430 citations

Peers

Etsuko Ueta
Comparison fields: 5 of 60
  • Clinical Biochemistry 70
  • Developmental Biology 15
  • Endocrinology, Diabetes and Metabolism 68
  • Pediatrics, Perinatology and Child Health 34
  • Epidemiology 63
Replace Eleidi A. Chautard‐Freire‐Maia with:
Eleidi A. Chautard‐Freire‐Maia Brazil
Lucie Šedová Czechia
Yong-meng Li China
Kimberly R. Haynie United States
Rachel J. Fenske United States
Arata Iwasaki Japan
Clara Araújo Veloso Brazil
Guillermo Carvajal‐Sandoval Mexico
LaQueta Hudson United States
SivaK Kota India
Etsuko Ueta relative to Eleidi A. Chautard‐Freire‐Maia Brazil Eleidi A. Chautard‐Freire‐Maia's profile →
Citations per field
00.5×2×3×3.8×
Eleidi A. Chautard‐Freire‐Maia · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 201841
3
Relationships between matrix metalloproteinases and tissue inhibitor of metalloproteinases in the wall of abdominal aortic aneurysms.
200333
4 201433
5 201732
6 201629
7 200923
8 200921
9 202019
10 200216
11 202015
12 200214
13 200111
14 201810
15 20049
16 20069
17 20149
18 20028
19 20077
20 20227

About Etsuko Ueta

Etsuko Ueta is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Developmental Biology and Nutrition and Dietetics, having authored 33 papers that have together received 450 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Pancreatic function and diabetes (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Advanced Glycation End Products research (4 papers), Mycotoxins in Agriculture and Food (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). The work is most often cited by research in Clinical Biochemistry (70 citations), Developmental Biology (15 citations), Endocrinology, Diabetes and Metabolism (68 citations), Pediatrics, Perinatology and Child Health (34 citations) and Epidemiology (63 citations). Etsuko Ueta has collaborated with scholars based in Japan. Frequent co-authors include Ichiro Naruse, Shoichiro Izawa, Shin‐ichi Taniguchi, Kazuhiko Matsuzawa, Eiji Nanba, Tsuyoshi Okura, Keisuke Sumi, Masahiko Kato, Kazuhiro Yamamoto and Yuzuru Otsuka. Their work appears in journals such as Diabetology & Metabolic Syndrome, PLoS ONE, BMJ Open Diabetes Research & Care, Bioscience Biotechnology and Biochemistry and Clinical Biochemistry.

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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