A Taniguchi

709 citations
19 papers · 423 · h-index 9

Impact in

Papers in

A Taniguchi

17 papers receiving 413 citations

Peers

A Taniguchi
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 200
  • Endocrine and Autonomic Systems 46
  • Periodontics 18
  • Physiology 83
  • Cellular and Molecular Neuroscience 46
Replace Aydoğan Aydoğdu with:
Aydoğan Aydoğdu Türkiye
R. A. Meyer United States
IR Reid New Zealand
Shuiqing Lai China
Elda Pacheco‐Pantoja Mexico
Robert C. Osburne United States
Katarzyna Skórzyńska-Dziduszko Poland
Minori Higashiyama Japan
Arved Roovete Sweden
Daniel Tarnowski Germany
A Taniguchi relative to Aydoğan Aydoğdu Türkiye Aydoğan Aydoğdu's profile →
Citations per field
00.5×3.6×
Aydoğan Aydoğdu · 1×
Citations per year

Countries citing papers authored by A Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by A Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004196
2 200844
3 199338
4 201031
5 198730
6 199620
7 200418
8 200514
9 200313
10
A case of adiposis dolorosa: lipid metabolism and hormone secretion.
19867
11 19943
12 20242
13 19852
14 20092
15 20241
16
Effects of mazindol on lipid metabolism of human adipose tissue in vitro.
19841
17
[Biosynthesis and secretory regulation of pituitary prolactin].
19931
18 20240
19 20240

About A Taniguchi

A Taniguchi is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Cancer Research and Surgery, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Diet and metabolism studies (3 papers), Diet, Metabolism, and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Eating Disorders and Behaviors (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Endocrine and Autonomic Systems (46 citations), Periodontics (18 citations), Physiology (83 citations) and Cellular and Molecular Neuroscience (46 citations). A Taniguchi has collaborated with scholars based in Japan. Frequent co-authors include M Fukushima, Yuta Nakai, Yutaka Seino, Yuichiro Yamada, Takeshi Kurose, Makoto Usami, Masaki Ikeda, Hitoshi Suzuki, Hiroo Imura and Satoru Yoshii. Their work appears in journals such as Hormone and Metabolic Research, Advances in Biological Regulation, Metabolism, Journal of Lipid Research and Tissue and Cell.

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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