Kosuke Azuma

3.2k citations
38 papers · 2.7k indexed · 1 hit paper · h-index 23
Topics
Adipokines, Inflammation, and Metabolic Diseases (12 papers)Diabetes Treatment and Management (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)

In The Last Decade

Kosuke Azuma

38 papers receiving 2.6k citations

Hit Papers

Autophagy Is Important in Islet Homeostasis and Compensat...20082026201420202008200400600

Peers

Kosuke Azuma
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Molecular Biology 897
  • Surgery 850
  • Epidemiology 781
  • Physiology 389
Replace Takeshi Ogihara with:
Takeshi Ogihara Japan
Daisaku Masuda Japan
Adeline Bertola United States
Jee‐Young Han South Korea
Xiaoxin X. Wang United States
Bruno Derudas France
Monika Kellerer Germany
Josep Julve Spain
Sakeneh Zraika United States
Daiji Kawanami Japan
Kosuke Azuma relative to Takeshi Ogihara Japan Takeshi Ogihara's profile →
Citations per field
00.5×
Takeshi Ogihara · 1×
Citations per year

Countries citing papers authored by Kosuke Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Azuma

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Azuma. A scholar is included among the top collaborators of Kosuke Azuma 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 Kosuke Azuma. Kosuke Azuma 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 90
2 4
3 9
4 5
5 24
6 107
7 9
8 8
9 96
10 27
11
Autophagy Is Important in Islet Homeostasis and Compensatory Increase of Beta Cell Mass in Response to High-Fat Dietbreakdown →
637
12 13
13 16
14 30
15 57
16 7
17 39
18 68
19 66
20 175

About Kosuke Azuma

Kosuke Azuma is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Diabetes Treatment and Management (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Epidemiology (781 citations) and Physiology (99 citations). Kosuke Azuma has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hirotaka Watada, Ryuzo Kawamori, Yoshio Fujitani, Takahisa Hirose, Tomoya Mita, Masayuki Arakawa, Chie Ebato, Hiromasa Goto, Takashi Nomiyama and Koji Komiya. Their work appears in journals such as Cell Metabolism, Diabetes and Scientific Reports.

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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