Akio Kuroda

1.9k total citations
65 papers, 1.4k citations indexed

About

Akio Kuroda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Akio Kuroda has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Akio Kuroda's work include Pancreatic function and diabetes (19 papers), Diabetes Management and Research (18 papers) and Diabetes and associated disorders (8 papers). Akio Kuroda is often cited by papers focused on Pancreatic function and diabetes (19 papers), Diabetes Management and Research (18 papers) and Diabetes and associated disorders (8 papers). Akio Kuroda collaborates with scholars based in Japan, United States and United Kingdom. Akio Kuroda's co-authors include Munehide Matsuhisa, Kevin Ferreri, Fouad Kandeel, Yoshimitsu Yamasaki, Yoko Mullen, Tetsuyuki Yasuda, Иван Тодоров, Yoshitaka Kajimoto, Naoto Katakami and Hsun Teresa Ku and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Akio Kuroda

58 papers receiving 1.3k citations

Peers

Akio Kuroda
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 453
  • Molecular Biology 443
  • Surgery 409
  • Physiology 281
  • Genetics 265
Replace Tarunveer S. Ahluwalia with:
Tarunveer S. Ahluwalia Denmark
Dariusz Moczulski Poland
T. Kunt Germany
Claire Douillard France
Yasumichi Mori Japan
Neslihan Başçıl Tütüncü Türkiye
Daniel Giannella‐Neto Brazil
Bernhard Böhm Germany
Anna Valerio Italy
Tetsuyuki Yasuda Japan
Tarunveer S. Ahluwalia Denmark View profile →
Citations per field, relative to Akio Kuroda
Akio Kuroda · 1×
Citations per year, relative to Akio Kuroda
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Countries citing papers authored by Akio Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by Akio Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Kuroda

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Kuroda. A scholar is included among the top collaborators of Akio Kuroda 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 Akio Kuroda. Akio Kuroda 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 1
7 4
8 1
9 1
10 5
11 5
12 53
13 16
14 80
15 8
16 48
17 11
18 14
19 26
20 21

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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