Daisuke Sakano

540 total citations
20 papers, 417 citations indexed

About

Daisuke Sakano is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Daisuke Sakano has authored 20 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Daisuke Sakano's work include Pancreatic function and diabetes (13 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Pluripotent Stem Cells Research (3 papers). Daisuke Sakano is often cited by papers focused on Pancreatic function and diabetes (13 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Pluripotent Stem Cells Research (3 papers). Daisuke Sakano collaborates with scholars based in Japan, Sweden and China. Daisuke Sakano's co-authors include Shoen Kume, Kazuhiko Kume, Nobuaki Shiraki, Yoichi Aso, Kohji Yamamoto, Hiroshi Fujii, Qingyou Xia, Bin Li, Hideo Baba and Motonari Uesugi and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Daisuke Sakano

20 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisuke Sakano Japan 12 246 184 119 75 36 20 417
Petra Dames Germany 13 249 1.0× 84 0.5× 136 1.1× 22 0.3× 23 0.6× 18 438
Mari‐Anne Pulkkinen Finland 9 205 0.8× 338 1.8× 221 1.9× 226 3.0× 6 0.2× 13 536
Tino Klein Denmark 9 266 1.1× 162 0.9× 113 0.9× 48 0.6× 36 1.0× 11 384
Kathrin Chamaon Germany 11 169 0.7× 156 0.8× 24 0.2× 37 0.5× 9 0.3× 14 432
Eleonora de Klerk Netherlands 10 557 2.3× 76 0.4× 91 0.8× 43 0.6× 8 0.2× 13 707
Radhika S. Khetani United States 11 414 1.7× 36 0.2× 91 0.8× 105 1.4× 5 0.1× 17 640
Víctor Barrera United States 13 220 0.9× 58 0.3× 57 0.5× 20 0.3× 12 0.3× 25 560
Rejane Daniele Reginato Brazil 13 145 0.6× 48 0.3× 99 0.8× 9 0.1× 6 0.2× 28 379
Céline Gracia France 10 242 1.0× 40 0.2× 91 0.8× 16 0.2× 41 1.1× 14 388
Mouna Barat‐Houari France 11 143 0.6× 36 0.2× 128 1.1× 15 0.2× 5 0.1× 23 373

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-authorship network of co-authors of Daisuke Sakano

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Sakano. A scholar is included among the top collaborators of Daisuke Sakano 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 Daisuke Sakano. Daisuke Sakano 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
1.
Sakano, Daisuke, et al.. (2023). Selective proteasome degradation of C‐terminally‐truncated human WFS1 in pancreatic beta cells. FEBS Open Bio. 13(8). 1405–1414. 1 indexed citations
2.
Enomoto, Takayuki, Yusuke Kato, Yumeng Wu, et al.. (2023). A specific plasma amino acid profile in the Insulin2 Q104del Kuma mice at the diabetic state and reversal from hyperglycemia. Biochemical and Biophysical Research Communications. 679. 58–65. 1 indexed citations
3.
Aonishi, Toru, Tetsuya Kitaguchi, Harumi Takahashi, et al.. (2022). Dopamine Negatively Regulates Insulin Secretion Through Activation of D1-D2 Receptor Heteromer. Diabetes. 71(9). 1946–1961. 13 indexed citations
4.
Takagi, Hiroshi, Tomonori Hirose, Akira Mizoguchi, et al.. (2021). Dietary sodium chloride attenuates increased β-cell mass to cause glucose intolerance in mice under a high-fat diet. PLoS ONE. 16(3). e0248065–e0248065. 4 indexed citations
5.
Nishida, Kei, Hyun Seung Ban, Jun‐ya Kohno, et al.. (2021). Carborane as an Alternative Efficient Hydrophobic Tag for Protein Degradation. Bioconjugate Chemistry. 32(11). 2377–2385. 23 indexed citations
6.
Sakano, Daisuke, Kumi Matsuura, Naoki Takeda, et al.. (2020). VMAT2 Safeguards β-Cells Against Dopamine Cytotoxicity Under High-Fat Diet–Induced Stress. Diabetes. 69(11). 2377–2391. 14 indexed citations
7.
Sakano, Daisuke, Takayuki Enomoto, Seiji Okada, et al.. (2020). Insulin2Q104del (Kuma) mutant mice develop diabetes with dominant inheritance. Scientific Reports. 10(1). 12187–12187. 6 indexed citations
8.
Leuckx, Gunter, Daisuke Sakano, Philip A. Seymour, et al.. (2017). Inhibition of Cdk5 Promotes β-Cell Differentiation From Ductal Progenitors. Diabetes. 67(1). 58–70. 44 indexed citations
9.
Sakano, Daisuke, et al.. (2016). Dopamine D2 Receptor-Mediated Regulation of Pancreatic β Cell Mass. Stem Cell Reports. 7(1). 95–109. 27 indexed citations
10.
Sakano, Daisuke, Nobuaki Shiraki, & Shoen Kume. (2015). Pancreatic Differentiation from Murine Embryonic Stem Cells. Methods in molecular biology. 1341. 417–423. 2 indexed citations
11.
Shiraki, Nobuaki, et al.. (2015). Neural cells play an inhibitory role in pancreatic differentiation of pluripotent stem cells. Genes to Cells. 20(12). 1028–1045. 4 indexed citations
12.
Sakano, Daisuke, Nobuaki Shiraki, Tomonori Tsuyama, et al.. (2014). Beneficial Effect of Insulin Treatment on Islet Transplantation Outcomes in Akita Mice. PLoS ONE. 9(4). e95451–e95451. 15 indexed citations
13.
Shiraki, Nobuaki, et al.. (2014). Generation of insulin-producing β-like cells from human iPS cells in a defined and completely xeno-free culture system. Journal of Molecular Cell Biology. 6(5). 394–408. 56 indexed citations
14.
Sakano, Daisuke, Nobuaki Shiraki, Taiji Yamazoe, et al.. (2013). VMAT2 identified as a regulator of late-stage β-cell differentiation. Nature Chemical Biology. 10(2). 141–148. 50 indexed citations
15.
Shiraki, Nobuaki, Daisuke Sakano, Takashi Ikegami, et al.. (2013). Secreted Cerberus1 as a Marker for Quantification of Definitive Endoderm Differentiation of the Pluripotent Stem Cells. PLoS ONE. 8(5). e64291–e64291. 10 indexed citations
16.
Shiraki, Nobuaki, Rika Miki, Daisuke Sakano, et al.. (2012). Recovery from diabetes in neonatal mice after a low-dose streptozotocin treatment. Biochemical and Biophysical Research Communications. 430(3). 1103–1108. 19 indexed citations
17.
Sakano, Daisuke, et al.. (2010). BCL6 Canalizes Notch-Dependent Transcription, Excluding Mastermind-like1 from Selected Target Genes during Left-Right Patterning. Developmental Cell. 18(3). 450–462. 44 indexed citations
18.
Hossain, Md. Tofazzal, Tetsuro Fujisawa, Yōji Inoko, et al.. (2010). Structural Properties of Silkworm Small Heat-Shock Proteins: sHSP19.9 and sHSP20.8. Bioscience Biotechnology and Biochemistry. 74(8). 1556–1563. 4 indexed citations
19.
Sakano, Daisuke, Bin Li, Qingyou Xia, et al.. (2006). Genes Encoding Small Heat Shock Proteins of the Silkworm,Bombyx mori. Bioscience Biotechnology and Biochemistry. 70(10). 2443–2450. 66 indexed citations
20.
Zhang, Pingbo, Kohji Yamamoto, Yoichi Aso, et al.. (2005). Proteomic Studies of Isoforms of the P25 Component ofBombyx moriFibroin. Bioscience Biotechnology and Biochemistry. 69(11). 2086–2093. 14 indexed citations

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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