Kazuki Yasuda

12.0k citations
158 papers · 6.6k indexed · 2 hit papers · h-index 40
Topics
Pancreatic function and diabetes (46 papers)Diabetes and associated disorders (31 papers)Metabolism, Diabetes, and Cancer (20 papers)

In The Last Decade

Kazuki Yasuda

151 papers receiving 6.4k citations

Hit Papers

Pharmacological characterization of the cloned kappa-, de...199320262004201519941993100200300400500

Peers

Kazuki Yasuda
Comparison fields: 5 of 135
  • Molecular Biology 3.5k
  • Surgery 1.5k
  • Cellular and Molecular Neuroscience 1.5k
  • Physiology 1.4k
  • Epidemiology 1.1k
Replace Sylvain Doré with:
Sylvain Doré United States
Masashi Mukoyama Japan
Akira Sugawara Japan
Satoru Eguchi United States
Jiping Tang United States
Takashi Nakagawa Japan
Ákos Heinemann Austria
Tetsuji Miura Japan
Soroku Yagihashi Japan
Takenobu Kamada Japan
Kazuki Yasuda relative to Sylvain Doré United States Sylvain Doré's profile →
Citations per field
00.5×2.5×
Sylvain Doré · 1×
Citations per year

Countries citing papers authored by Kazuki Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuki Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuki Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Yasuda. A scholar is included among the top collaborators of Kazuki Yasuda 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 Kazuki Yasuda. Kazuki Yasuda 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 8
2 0
3 1
4 7
5 4
6 5
7 15
8 29
9 2
10 22
11 132
12 20
13 26
14 14
15 0
16 7
17 11
18 2
19 108
20 6

About Kazuki Yasuda

Kazuki Yasuda is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 158 papers that have together received 6.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (46 papers), Diabetes and associated disorders (31 papers) and Metabolism, Diabetes, and Cancer (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Endocrinology, Diabetes and Metabolism (1.0k citations) and Physiology (1.4k citations). Kazuki Yasuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Terry Reisine, Graeme I. Bell, Hyesik Kong, K Raynor, Christopher D. Breder, Jun Takeda, G I Bell, Yong Chen, Lei Yu and Takashi Kadowaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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