Kazuki Yasuda

12.0k total citations · 2 hit papers
158 papers, 6.6k citations indexed

About

Kazuki Yasuda is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Kazuki Yasuda has authored 158 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 55 papers in Surgery and 39 papers in Genetics. Recurrent topics in Kazuki Yasuda's work include Pancreatic function and diabetes (46 papers), Diabetes and associated disorders (31 papers) and Metabolism, Diabetes, and Cancer (20 papers). Kazuki Yasuda is often cited by papers focused on Pancreatic function and diabetes (46 papers), Diabetes and associated disorders (31 papers) and Metabolism, Diabetes, and Cancer (20 papers). Kazuki Yasuda collaborates with scholars based in Japan, United States and France. Kazuki Yasuda's co-authors include Terry Reisine, Graeme I. Bell, Hyesik Kong, K Raynor, Christopher D. Breder, Jun Takeda, G I Bell, Lei Yu, Yong Chen and Takashi Kadowaki and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kazuki Yasuda

151 papers receiving 6.4k citations

Hit Papers

Pharmacological characterization of the cloned kappa-, de... 1993 2026 2004 2015 1994 1993 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuki Yasuda Japan 40 3.5k 1.5k 1.5k 1.4k 1.1k 158 6.6k
Lijun Yang China 36 1.7k 0.5× 1.2k 0.8× 1.0k 0.7× 1.4k 1.0× 961 0.9× 177 5.7k
Masashi Mukoyama Japan 56 4.5k 1.3× 1.7k 1.1× 889 0.6× 1.8k 1.3× 1.2k 1.1× 259 15.3k
Takeo Kato Japan 46 2.1k 0.6× 620 0.4× 1.5k 1.0× 1.3k 0.9× 1.2k 1.1× 277 8.6k
Akira Sugawara Japan 56 4.7k 1.3× 1.2k 0.8× 599 0.4× 1.2k 0.9× 710 0.6× 294 10.4k
Tetsuji Miura Japan 58 4.1k 1.2× 1.5k 1.0× 504 0.3× 1.7k 1.2× 1.8k 1.6× 393 12.7k
Giuseppe Rengo Italy 49 3.7k 1.1× 752 0.5× 731 0.5× 1.4k 1.0× 509 0.5× 191 8.3k
Soroku Yagihashi Japan 46 1.6k 0.5× 2.1k 1.4× 797 0.5× 2.8k 2.0× 587 0.5× 227 8.0k
Sylvain Doré United States 60 5.8k 1.6× 591 0.4× 1.1k 0.7× 1.7k 1.3× 1.4k 1.2× 255 13.0k
Charlotte A. Peterson United States 58 6.0k 1.7× 1.3k 0.9× 592 0.4× 3.7k 2.7× 1.3k 1.1× 179 9.9k
Jeffrey E. Saffitz United States 77 9.5k 2.7× 2.5k 1.7× 1.0k 0.7× 2.5k 1.8× 1.1k 1.0× 273 18.5k

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
1.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). New diagnostic criteria (2023) for slowly progressive type 1 diabetes (SPIDDM): Report from Committee on Type 1 Diabetes of the Japan Diabetes Society (English version). Journal of Diabetes Investigation. 15(2). 254–257. 8 indexed citations
2.
Nammo, Takao, Nobuaki Funahashi, Haruhide Udagawa, et al.. (2024). Single-housing–induced islet epigenomic changes are related to polymorphisms in diabetic KK mice. Life Science Alliance. 7(8). e202302099–e202302099.
3.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). Practice guideline: Statement regarding treatment for suspected slowly progressive type 1 diabetes (SPIDDM; probable) cases (English version). Journal of Diabetes Investigation. 16(1). 163–168.
4.
Yasuda, Kazuki, et al.. (2023). Micro‐Doppler Radar‐Based Gait Classification of Common Pedestrians and Smartphone Zombies. IEEJ Transactions on Electrical and Electronic Engineering. 18(9). 1547–1549. 1 indexed citations
5.
Kawasaki, Eiji, Akira Shimada, Akihisa Imagawa, et al.. (2023). Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes. Journal of Diabetes Investigation. 14(4). 570–581. 7 indexed citations
7.
Udagawa, Haruhide, Masaki Hiramoto, Miho Kawaguchi, et al.. (2020). Characterization of the taste receptor‐related G‐protein, α‐gustducin, in pancreatic β‐cells. Journal of Diabetes Investigation. 11(4). 814–822. 5 indexed citations
8.
Nammo, Takao, Haruhide Udagawa, Nobuaki Funahashi, et al.. (2018). Genome-wide profiling of histone H3K27 acetylation featured fatty acid signalling in pancreatic beta cells in diet-induced obesity in mice. Diabetologia. 61(12). 2608–2620. 29 indexed citations
9.
Nakata, Daisuke, et al.. (2018). N<sub>2</sub>O Flow History Prediction in an Oxidizer Feed Line of Hybrid Rockets. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 16(1). 81–87. 2 indexed citations
10.
11.
Nishimura, Wataru, Ilham El Khattabi, Wanzhu Jin, et al.. (2015). Compensatory Response by Late Embryonic Tubular Epithelium to the Reduction in Pancreatic Progenitors. PLoS ONE. 10(11). e0142286–e0142286. 1 indexed citations
12.
Akter, Shamima, Ngoc Minh Pham, Akiko Nanri, et al.. (2014). Association of serum leptin and ghrelin with depressive symptoms in a Japanese working population: a cross-sectional study. BMC Psychiatry. 14(1). 203–203. 18 indexed citations
13.
Kobayashi, Kenichiro, Hitoshi Ichikawa, Kazuhiko Nakabayashi, et al.. (2014). ATF7IP as a novel PDGFRB fusion partner in acute lymphoblastic leukaemia in children. British Journal of Haematology. 165(6). 836–841. 22 indexed citations
14.
Nishio, Miwako, Takeshi Yoneshiro, Masako Nakahara, et al.. (2012). Production of Functional Classical Brown Adipocytes from Human Pluripotent Stem Cells using Specific Hemopoietin Cocktail without Gene Transfer. Cell Metabolism. 16(3). 394–406. 132 indexed citations
15.
Nakahara, Masako, Naoko Nakamura, Satoko Matsuyama, et al.. (2009). High-Efficiency Production of Subculturable Vascular Endothelial Cells from Feeder-Free Human Embryonic Stem Cells Without Cell-Sorting Technique. Cloning and Stem Cells. 11(4). 509–522. 14 indexed citations
16.
Kaburagi, Yasushi, Ryo Yamashita, Eri Takahashi, Kazuki Yasuda, & Mitsuhiko Noda. (2009). Proteomic Studies on Investigations of Diabetes. Journal of the Mass Spectrometry Society of Japan. 57(3). 201–206.
17.
Nakahara, Masako, Kumiko Saeki, Naoko Nakamura, et al.. (2008). Human Embryonic Stem Cells with Maintenance under a Feeder-Free and Recombinant Cytokine-Free Condition. Cloning and Stem Cells. 11(1). 5–18. 7 indexed citations
18.
Yamashita, Ryo, Kazuki Yasuda, & Yasushi Kaburagi. (2005). Proteomic Analysis of Proteins Secreted from Hepatocytes. Journal of the Mass Spectrometry Society of Japan. 53(3). 164–168. 2 indexed citations
20.
Nakatani, Tatsuya, Kazuki Yasuda, Kazue Ozawa, & Takayoshi Tobe. (1984). Changes in Blood Glucose Levels in Relation to Blood Ketone Body Ratio following Hypertonic Glucose Infusion in 70&percnt; Hepatectomized Rabbits. European Surgical Research. 16(5). 303–311. 6 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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