Toshiaki Nakai

928 citations
48 papers · 759 indexed · h-index 15

Toshiaki Nakai

48 papers receiving 738 citations

Peers

Toshiaki Nakai
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 171
  • Hepatology 153
  • Endocrinology, Diabetes and Metabolism 125
  • Cancer Research 89
  • Epidemiology 195
Replace Susana Hernández with:
Susana Hernández Spain
Gunther Neeck Germany
J.A. Chayvialle France
Xiaoti Lin China
Claire Baker United States
Philip Murray United Kingdom
Yulong Cai China
A. E. Jones United Kingdom
Przemysław Kaczmarek Poland
Saija Koskimies Finland
Toshiaki Nakai relative to Susana Hernández Spain Susana Hernández's profile →
Citations per field
00.5×3.1×
Susana Hernández · 1×
Citations per year

Countries citing papers authored by Toshiaki Nakai

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Nakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201044
2 20062
3 20045
4 200328
5 20036
6 200240
7 20022
8 20027
9 200149
10 200059
11 20002
12 19991
13 199999
14 199965
15 199910
16 19999
17 199426
18 199414
19 199311
20 19766

About Toshiaki Nakai

Toshiaki Nakai is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Reproductive Medicine and Hepatology, having authored 48 papers that have together received 759 indexed citations. Recurring topics across this work include Birth, Development, and Health (6 papers), Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Hormonal Regulation and Hypertension (5 papers), Regulation of Appetite and Obesity (5 papers), Adrenal and Paraganglionic Tumors (4 papers), Adipose Tissue and Metabolism (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (171 citations), Hepatology (153 citations), Endocrinology, Diabetes and Metabolism (125 citations), Cancer Research (89 citations) and Epidemiology (195 citations). Toshiaki Nakai has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kazumasa Isobe, Fumio Nomura, Kazuhiro Takekoshi, Yasushi Kawakami, Kiyo‐aki Ishii, Toru Nanmoku, Kunihiko Ohnishi, Naomi Tanaka, Katsuhiko Kuwa and Sakae Itoga. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Journal of Gastroenterology and Hepatology, Regulatory Peptides, Endocrinology and Life 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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