Etsuo Naito

86 papers receiving 2.1k citations

Peers

Etsuo Naito
Comparison fields: 5 of 90
  • Clinical Biochemistry 778
  • Endocrine and Autonomic Systems 303
  • Biochemistry 337
  • Physiology 379
  • Molecular Biology 884
Replace Ichiro Yokota with:
Ichiro Yokota Japan
Vadim S. Ten United States
Jean Bastin France
Lillian Recant United States
Anna M.D. Watson Australia
Shigeru Sakurai Japan
Jean Marie Saudubray France
Charles W. Heilig United States
Pablo A. Ortiz United States
T Oyama United States
Etsuo Naito relative to Ichiro Yokota Japan Ichiro Yokota's profile →
Citations per field
00.5×1.5×1.9×
Ichiro Yokota · 1×
Citations per year

Countries citing papers authored by Etsuo Naito

Since Specialization
Citations

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

Fields of papers citing papers by Etsuo Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997215
2 2000165
3
A unique mutation in the vitamin D receptor gene in three Japanese patients with vitamin D-dependent rickets type II: utility of single-strand conformation polymorphism analysis for heterozygous carrier detection.
1991154
4 1989137
5 2004122
6 200393
7 198970
8 199063
9 199960
10 200855
11 199448
12 201146
13 200244
14 199837
15 199136
16 198736
17 198535
18 199835
19 199929
20 200329

About Etsuo Naito

Etsuo Naito is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Neurology and Physiology, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (45 papers), Biochemical Acid Research Studies (18 papers), Mitochondrial Function and Pathology (13 papers), Alcoholism and Thiamine Deficiency (12 papers), Biochemical and Molecular Research (12 papers), Amino Acid Enzymes and Metabolism (11 papers), Neonatal Health and Biochemistry (6 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Clinical Biochemistry (778 citations), Endocrine and Autonomic Systems (303 citations), Biochemistry (337 citations), Physiology (379 citations) and Molecular Biology (884 citations). Etsuo Naito has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Ichiro Yokota, Michinori Ito, Junko Matsuda, Yasuhiro Kuroda, Takahiko Saijo, Kay Tanaka, Eiji Takeda, Yasuhiro Indo, Kenji Shima and Yuichi Kuroda. Their work appears in journals such as Journal of Inherited Metabolic Disease, Pediatric Research, Brain and Development, Clinica Chimica Acta 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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