Yu Ihara

2.2k citations
15 papers · 1.1k · h-index 13

Impact in

Papers in

    • Pancreatic function and diabetes 9
    • Helicobacter pylori-related gastroenterology studies 2
    • TGF-β signaling in diseases 2

Yu Ihara

15 papers receiving 1.0k citations

Peers

Yu Ihara
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 502
  • Surgery 495
  • Endocrine and Autonomic Systems 58
  • Biochemistry 43
  • Cellular and Molecular Neuroscience 130
Replace Kazumasa Miyawaki with:
Kazumasa Miyawaki Japan
Heather W. Collins United States
Habiba Najafi United States
Y Ihara Japan
Mohammed Bensellam Belgium
S Kawazu Japan
Carol A. Delaney United Kingdom
Alpana Bhattacharjee Canada
Kaku Tsuruzoe Japan
Cécile Tourrel‐Cuzin France
Yu Ihara relative to Kazumasa Miyawaki Japan Kazumasa Miyawaki's profile →
Citations per field
00.5×1.5×2.0×
Kazumasa Miyawaki · 1×
Citations per year

Countries citing papers authored by Yu Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1999395
2 2000114
3 200087
4 200283
5 200467
6 199653
7 200052
8 199942
9 199740
10 199538
11 199835
12 199932
13 200132
14 20013
15
[Oxidative stress induces cellular damage and dysfunction of pancreatic beta-cells in type 2 diabetes].
20021

About Yu Ihara

Yu Ihara is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Cell Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Diabetes and associated disorders (3 papers), Diabetes Treatment and Management (3 papers), Diet, Metabolism, and Disease (2 papers), TGF-β signaling in diseases (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (502 citations), Surgery (495 citations), Endocrine and Autonomic Systems (58 citations), Biochemistry (43 citations) and Cellular and Molecular Neuroscience (130 citations). Yu Ihara has collaborated with scholars based in Japan, United States and Panama. Frequent co-authors include Yuichiro Yamada, Yutaka Seino, Akira Kubota, Nobuhiro Ban, Akira Kuroe, Kinsuke Tsuda, Kazumasa Miyawaki, Yoshimichi Someya, Shinya Toyokuni and Jun‐ichi Miyazaki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Diabetes, Antioxidants and Redox Signaling, Genomics 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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