Naoto Nagata

5.8k citations
77 papers · 4.1k indexed · 1 hit paper · h-index 35

Naoto Nagata

75 papers receiving 4.1k citations

Hit Papers

SGLT2 Inhibition by Empagliflozin Promotes Fat Utilizatio...4022017202620202023100200300400

Peers

Naoto Nagata
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 970
  • Biochemistry 278
  • Physiology 1.1k
  • Endocrine and Autonomic Systems 274
  • Epidemiology 1.4k
Replace Anne Tailleux with:
Anne Tailleux France
Manuela Aragno Italy
Tsuguhito Ota Japan
Juan C. Laguna Spain
Müjdat Uysal Türkiye
Minsheng Yuan United States
Hirofumi Misu Japan
Lilia G. Noriega Mexico
Cora Weigert Germany
Max C. Petersen United States
Naoto Nagata relative to Anne Tailleux France Anne Tailleux's profile →
Citations per field
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Anne Tailleux · 1×
Citations per year

Countries citing papers authored by Naoto Nagata

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Nagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20230
4 20232
5 20224
6 20221
7
β-クリプトキサンチンはマウスのミトコンドリア機能不全を減弱することによるアスタキサンチンより心臓虚血-再潅流障害に対する大心臓保護効果を発揮する【Powered by NICT】
20171
8 20171
9 2015212
10 201348
11 201319
12 2013108
13 201135
14 20103
15 2009364
16 200922
17 200878
18 200759
19 199721
20
[Effects of induced hypotension on perioperative renal and hepatic functions].
19934

About Naoto Nagata

Naoto Nagata is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Physiology, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Diet, Metabolism, and Disease (10 papers), Metabolism, Diabetes, and Cancer (7 papers), Circadian rhythm and melatonin (7 papers), Protein Tyrosine Phosphatases (7 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (970 citations), Biochemistry (278 citations) and Physiology (1.1k citations). Naoto Nagata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsuguhito Ota, Shuichi Kaneko, Yinhua Ni, Liang Xu, Mayumi Nagashimada, Fen Zhuge, Hitoshi Ando, Toshinari Takamura, Hirofumi Misu and Seiichiro Kurita. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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