Naohisa Oda

5.7k citations
37 papers · 2.1k indexed · 1 hit paper · h-index 17

Naohisa Oda

34 papers receiving 2.0k citations

Hit Papers

Mutations in the hepatocyte nuclear factor-4α gene in mat...7641996202620062016250500750

Peers

Naohisa Oda
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 504
  • Genetics 796
  • Surgery 973
  • Cell Biology 269
  • Molecular Biology 923
Replace Søren A. Urhammer with:
Søren A. Urhammer Denmark
Claus M. Larsen Denmark
J H Karam United States
Kazuaki Miyake Japan
Penny Clark United Kingdom
Ariel Zisman United States
Mia Klannemark Sweden
Melanie K. Shadoan United States
Yoshihiko Yamaguchi Japan
Alba Casellas Spain
Naohisa Oda relative to Søren A. Urhammer Denmark Søren A. Urhammer's profile →
Citations per field
00.5×1.5×
Søren A. Urhammer · 1×
Citations per year

Countries citing papers authored by Naohisa Oda

Since Specialization
Citations

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

Fields of papers citing papers by Naohisa Oda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20118
2 200915
3 20086
4 2008158
5 200581
6 200481
7 200411
8 200410
9 200351
10 200113
11 200116
12 20015
13 2000233
14 19987
15 19973
16 199738
17 199726
18
Mutations in the hepatocyte nuclear factor-4α gene in maturity-onset diabetes of the young (MODY1)breakdown →
1996764
19 199527
20 199410

About Naohisa Oda

Naohisa Oda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Nutrition and Dietetics, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (8 papers), Thyroid Disorders and Treatments (5 papers), Adipose Tissue and Metabolism (5 papers), Vitamin C and Antioxidants Research (4 papers), Diabetes and associated disorders (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (504 citations), Genetics (796 citations) and Surgery (973 citations). Naohisa Oda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Graeme I. Bell, Kazuya Yamagata, Nancy J. Cox, Pamela J. Kaisaki, Hiroto Furuta, Stephan Menzel, Stefano Signorini, Stefan S. Fajans, Markus Stoffel and Yukio Horikawa. Their work appears in journals such as Nature, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.

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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