Daisuke Sakano

540 citations
20 papers · 417 · h-index 12

Impact in

Papers in

    • Pancreatic function and diabetes 13
    • Pluripotent Stem Cells Research 3
    • Metabolism, Diabetes, and Cancer 2
    • CRISPR and Genetic Engineering 2

Daisuke Sakano

20 papers receiving 411 citations

Peers

Daisuke Sakano
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 75
  • Genetics 119
  • Surgery 184
  • Molecular Biology 246
  • Insect Science 31
Replace Petra Dames with:
Petra Dames Germany
Mari‐Anne Pulkkinen Finland
Radhika S. Khetani United States
Víctor Barrera United States
Eleonora de Klerk Netherlands
Kathrin Chamaon Germany
Mouna Barat‐Houari France
Rejane Daniele Reginato Brazil
Heather I. Cohn United States
Céline Gracia France
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Citations per field
00.5×3.4×
Petra Dames · 1×
Citations per year

Countries citing papers authored by Daisuke Sakano

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200666
2 201456
3 201350
4 201744
5 201044
6 201627
7 202123
8 201219
9 201415
10 202014
11 200514
12 202213
13 201310
14 20206
15 20214
16 20104
17 20154
18 20152
19 20231
20 20231

About Daisuke Sakano

Daisuke Sakano is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Genetics and Neurodevelopmental Disorders (6 papers), Diabetes Management and Research (3 papers), Cannabis and Cannabinoid Research (3 papers), Pluripotent Stem Cells Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes and associated disorders (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (75 citations), Genetics (119 citations), Surgery (184 citations), Molecular Biology (246 citations) and Insect Science (31 citations). Daisuke Sakano has collaborated with scholars based in Japan, Sweden and China. Frequent co-authors include Shoen Kume, Kazuhiko Kume, Nobuaki Shiraki, Yoichi Aso, Kohji Yamamoto, Hiroshi Fujii, Bin Li, Qingyou Xia, Olov Andersson and Motonari Uesugi. Their work appears in journals such as Diabetes, Bioscience Biotechnology and Biochemistry, PLoS ONE, Biochemical and Biophysical Research Communications and Genes to Cells.

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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