Akihiko Taguchi

5.1k citations
34 papers · 4.1k indexed · 3 hit papers · h-index 20
Topics
Pancreatic function and diabetes (8 papers)Circadian rhythm and melatonin (5 papers)Cellular transport and secretion (4 papers)

In The Last Decade

Akihiko Taguchi

32 papers receiving 4.1k citations

Hit Papers

RAGE Mediates a Novel Proinflammatory Axis199920262008201719991999202050010001.5k

Peers

Akihiko Taguchi
Comparison fields: 5 of 126
  • Clinical Biochemistry 1.8k
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Physiology 717
  • Immunology 595
Replace Xueliang Du with:
Xueliang Du United States
Umberto Di Mario Italy
Takuo Watanabe Japan
Carlos F. Sánchez‐Ferrer Spain
Fumio Endo Japan
Ben Janssen Netherlands
Susanna M. Hofmann United States
Norihiro Kato Japan
Balakuntalam S. Kasinath United States
Chia‐Wei Liou Taiwan
Akihiko Taguchi relative to Xueliang Du United States Xueliang Du's profile →
Citations per field
00.5×1.5×2.0×
Xueliang Du · 1×
Citations per year

Countries citing papers authored by Akihiko Taguchi

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Taguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Taguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Taguchi. A scholar is included among the top collaborators of Akihiko Taguchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akihiko Taguchi. Akihiko Taguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 4
5 1
6 9
7
Japanese Clinical Practice Guideline for Diabetes 2019breakdown →
380
8 24
9 291
10 54
11 28
12 21
13 3
14 55
15 2
16 45
17
RAGE Mediates a Novel Proinflammatory Axisbreakdown →
1582
18 54
19 21
20 47

About Akihiko Taguchi

Akihiko Taguchi is a scholar working on Aging, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 34 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Circadian rhythm and melatonin (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Clinical Biochemistry (1.8k citations), Endocrinology, Diabetes and Metabolism (1.0k citations) and Endocrine and Autonomic Systems (306 citations). Akihiko Taguchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ann Marie Schmidt, Wu Qu, M. Hofmann, Caifeng Fu, Yan Lü, Cecilia Avila, Mariko Nagashima, John McClary, Peter P. Nawroth and Angelika Bierhaus. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.

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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