Daisuke Yabe

10.8k total citations · 3 hit papers
224 papers, 7.5k citations indexed

About

Daisuke Yabe is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Daisuke Yabe has authored 224 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Endocrinology, Diabetes and Metabolism, 80 papers in Molecular Biology and 74 papers in Surgery. Recurrent topics in Daisuke Yabe's work include Diabetes Treatment and Management (112 papers), Diabetes Management and Research (56 papers) and Metabolism, Diabetes, and Cancer (55 papers). Daisuke Yabe is often cited by papers focused on Diabetes Treatment and Management (112 papers), Diabetes Management and Research (56 papers) and Metabolism, Diabetes, and Cancer (55 papers). Daisuke Yabe collaborates with scholars based in Japan, United States and Germany. Daisuke Yabe's co-authors include Yutaka Seino, Joseph L. Goldstein, Michael S. Brown, Mitsuo Fukushima, Peter J. Espenshade, Tong Yang, Michael E. Wright, Yi Gong, Ruedi Aebersold and Hitoshi Kuwata and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daisuke Yabe

209 papers receiving 7.3k citations

Hit Papers

Crucial Step in Cholesterol Homeostasis 2002 2026 2010 2018 2002 2010 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Yabe Japan 37 3.3k 3.2k 2.7k 862 744 224 7.5k
Gunilla Olivecrona Sweden 52 2.1k 0.6× 3.3k 1.0× 1.7k 0.6× 1.5k 1.7× 691 0.9× 175 8.5k
Karin Bornfeldt United States 53 5.2k 1.5× 2.2k 0.7× 1.8k 0.7× 1.7k 1.9× 684 0.9× 151 11.1k
Paolo Parini Sweden 42 2.7k 0.8× 1.3k 0.4× 2.7k 1.0× 1.3k 1.5× 526 0.7× 135 7.5k
Kathrin Maedler Germany 42 2.9k 0.9× 2.3k 0.7× 3.8k 1.4× 1.1k 1.3× 2.3k 3.1× 98 7.6k
Robert J. Konrad United States 47 2.2k 0.7× 1.2k 0.4× 2.4k 0.9× 958 1.1× 379 0.5× 151 6.9k
Youfei Guan China 60 4.4k 1.3× 1.7k 0.5× 1.6k 0.6× 1.7k 2.0× 1.1k 1.5× 226 10.3k
Clive R. Pullinger United States 40 1.7k 0.5× 1.5k 0.5× 2.2k 0.8× 567 0.7× 561 0.8× 122 6.0k
Raghavendra G. Mirmira United States 47 3.1k 0.9× 1.7k 0.5× 3.9k 1.4× 709 0.8× 2.6k 3.4× 185 6.8k
Yasushi Tanaka Japan 44 2.9k 0.9× 2.0k 0.6× 981 0.4× 1.4k 1.6× 884 1.2× 289 7.8k
Åke Sjöholm Sweden 38 2.4k 0.7× 2.2k 0.7× 1.8k 0.7× 908 1.1× 563 0.8× 158 6.0k

Countries citing papers authored by Daisuke Yabe

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Yabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Yabe

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Yabe. A scholar is included among the top collaborators of Daisuke Yabe 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 Yabe. Daisuke Yabe 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.
Okamoto, Kentaro, Masakatsu Sone, Daisuke Taura, et al.. (2025). The Significance of High Expression of Circulating miR-222-3p in Patients With Unilateral Primary Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 111(2). e420–e430.
2.
Ushiroda, Chihiro, et al.. (2025). Chrebp Deletion and Mild Protein Restriction Additively Decrease Muscle and Bone Mass and Function. Nutrients. 17(3). 488–488.
3.
Yamauchi, Ichiro & Daisuke Yabe. (2025). Best practices in the management of thyroid dysfunction induced by immune checkpoint inhibitors. European Thyroid Journal. 14(1). 5 indexed citations
4.
Yabe, Daisuke, et al.. (2024). Impact of Participant Characteristics on Clinical Outcomes with iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of SPARTA Japan. Diabetes Therapy. 15(3). 705–723. 1 indexed citations
6.
Iizuka, Katsumi, Chihiro Ushiroda, Yusuke Seino, et al.. (2024). A Study on the Compatibility of a Food-Recording Application with Questionnaire-Based Methods in Healthy Japanese Individuals. Nutrients. 16(11). 1742–1742. 4 indexed citations
7.
Nakano, Eriko, Kosuke Mukai, Atsunori Fukuhara, et al.. (2024). Primary aldosteronism patients with previous cardiovascular and cerebrovascular events have high aldosterone responsiveness to ACTH stimulation. Endocrine Journal. 71(5). 489–497.
8.
Seino, Yusuke, Masashi Nakatani, Keisuke Hitachi, et al.. (2023). Blockade of glucagon increases muscle mass and alters fiber type composition in mice deficient in proglucagon‐derived peptides. Journal of Diabetes Investigation. 14(9). 1045–1055. 8 indexed citations
9.
Kato, Takehiro, Yuichi Hayashi, Hironori Fujii, et al.. (2023). Effectiveness of countermeasure for polypharmacy by multidisciplinary team review in patients with diabetes mellitus. Journal of Diabetes Investigation. 14(10). 1202–1208. 1 indexed citations
10.
Ji, Linong, Yingying Luo, Yong Mong Bee, et al.. (2023). Use of basal insulin in the management of adults with type 2 diabetes: An Asia‐Pacific evidence‐based clinical practice guideline. Journal of Diabetes. 15(6). 474–487. 4 indexed citations
11.
Takahashi, Yuya, Hiroki Fujita, Yusuke Seino, et al.. (2023). Gastric inhibitory polypeptide receptor antagonism suppresses intramuscular adipose tissue accumulation and ameliorates sarcopenia. Journal of Cachexia Sarcopenia and Muscle. 14(6). 2703–2718. 15 indexed citations
13.
Luo, Yingying, Jun Xia, Yaping Chang, et al.. (2023). Effectiveness, safety, initial optimal dose, and optimal maintenance dose range of basal insulin regimens for type 2 diabetes: A systematic review with meta‐analysis. Journal of Diabetes. 15(5). 419–435. 5 indexed citations
14.
Fujii, Makoto, Yuko Ohno, Kayo Godai, et al.. (2023). Effect of the Diabetic Nephropathy Aggravation Prevention Program on medical visit behavior in individuals under the municipal national health insurance. Journal of Diabetes Investigation. 14(6). 782–791. 1 indexed citations
15.
Bouchi, Ryotaro, Tatsuya Kondo, Yasuharu Ohta, et al.. (2022). A consensus statement from the Japan Diabetes Society: A proposed algorithm for pharmacotherapy in people with type 2 diabetes. Journal of Diabetes Investigation. 14(1). 151–164. 27 indexed citations
16.
Haraguchi, Takuya, Hitoshi Kuwata, Yusuke Seino, et al.. (2022). Association of dipeptidyl peptidase‐4 inhibitor use and risk of pancreatic cancer in individuals with diabetes in Japan. Journal of Diabetes Investigation. 14(1). 67–74. 6 indexed citations
17.
Matsuhisa, Munehide, et al.. (2022). Use of iGlarLixi for Management of Type 2 Diabetes in Japanese Clinical Practice: SPARTA Japan, a Retrospective Observational Study. Diabetes Therapy. 14(1). 219–236. 7 indexed citations
19.
Yabe, Daisuke, Atsutaka Yasui, Linong Ji, et al.. (2018). Safety and tolerability of empagliflozin in East Asian patients with type 2 diabetes: Pooled analysis of phase I–III clinical trials. Journal of Diabetes Investigation. 10(2). 418–428. 32 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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