Norio Abiru

4.9k citations
131 papers · 3.8k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Norio Abiru

126 papers receiving 3.7k citations

Hit Papers

Prime role for an insulin epitope in the development of type 1 diabetes in NOD mice 2005 · 593 citations
5932005202620122019100200300400500

Peers

Norio Abiru
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Genetics 2.5k
  • Immunology 1.3k
  • Surgery 1.8k
  • Gastroenterology 75
Replace Eiji Kawasaki with:
Eiji Kawasaki Japan
Hironori Yamasaki Japan
Tatsuo Yanagawa Japan
Helen Stevens United Kingdom
Gan Huang China
Yoshihiko Yamaguchi Japan
C. Lynne Burek United States
Giusy Elia Italy
Artur Bossowski Poland
Elisabeth Widén Finland
Norio Abiru relative to Eiji Kawasaki Japan Eiji Kawasaki's profile →
Citations per field
00.5×1.5×
Eiji Kawasaki · 1×
Citations per year

Countries citing papers authored by Norio Abiru

Since Specialization
Citations

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

Fields of papers citing papers by Norio Abiru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20241
3 20240
4 20240
5 202410
6 20240
7 20237
8 20231
9 20224
10 20225
11 20210
12 20211
13 202012
14 20206
15 20183
16 201119
17 200727
18 20036
19
Review Article Immunogenetic Heterogeneity of Type 1 Diabetes in Japan
20021
20 200196

About Norio Abiru

Norio Abiru is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Immunology, Surgery and Obstetrics and Gynecology, having authored 131 papers that have together received 3.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (81 papers), Pancreatic function and diabetes (56 papers), Diabetes Management and Research (49 papers), T-cell and B-cell Immunology (17 papers), Diabetes Treatment and Management (16 papers), Thyroid Disorders and Treatments (15 papers), Immune Cell Function and Interaction (14 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (2.5k citations), Immunology (1.3k citations), Surgery (1.8k citations) and Gastroenterology (75 citations). Norio Abiru has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include George S. Eisenbarth, Liping Yu, Eiji Kawasaki, Hiroaki Moriyama, Dongmei Miao, Edwin Liu, Katsumi Eguchi, Hironori Yamasaki, Yuji Nagayama and Dale R. Wegmann. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Autoimmunity, Diabetes Research and Clinical Practice, Journal of Diabetes Investigation and Endocrinology.

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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