Yuta Takagaki

942 total citations · 1 hit paper
15 papers, 711 citations indexed

About

Yuta Takagaki is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Yuta Takagaki has authored 15 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yuta Takagaki's work include Diabetes Treatment and Management (9 papers), Peptidase Inhibition and Analysis (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Yuta Takagaki is often cited by papers focused on Diabetes Treatment and Management (9 papers), Peptidase Inhibition and Analysis (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Yuta Takagaki collaborates with scholars based in Japan, United States and China. Yuta Takagaki's co-authors include Daisuke Koya, Keizo Kanasaki, Munehiro Kitada, Jinpeng Li, Haijie Liu, Kyoko Nitta, Susumu Takagi, Swayam Prakash Srivastava, Asako Kumagai and Sen Shi and has published in prestigious journals such as Cancer Research, Scientific Reports and Autophagy.

In The Last Decade

Yuta Takagaki

15 papers receiving 707 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Renal protective effects of empagliflozin via inhibition of EMT and aberrant glycolysis in proximal tubules

2020 186 citations Jinpeng Li, Haijie Liu et al. JCI Insight profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuta Takagaki Japan	10	293	211	157	154	135	15	711
Kyoko Nitta Japan	9	245 0.8×	214 1.0×	152 1.0×	140 0.9×	56 0.4×	14	588
Yoshiki Higashijima Japan	14	362 1.2×	198 0.9×	164 1.0×	113 0.7×	46 0.3×	24	729
Bishoy Rizkalla Australia	8	304 1.0×	147 0.7×	268 1.7×	54 0.4×	123 0.9×	15	891
Giovanna Castoldi Italy	18	416 1.4×	205 1.0×	97 0.6×	133 0.9×	79 0.6×	38	931
Sharon Li Ting Pek Singapore	14	394 1.3×	125 0.6×	92 0.6×	92 0.6×	107 0.8×	32	857
Kumiko Torisu Japan	14	302 1.0×	53 0.3×	197 1.3×	97 0.6×	238 1.8×	44	837
Chunjun Sheng China	17	367 1.3×	536 2.5×	63 0.4×	231 1.5×	198 1.5×	35	1.1k
Belinda A. Di Bartolo Australia	19	478 1.6×	196 0.9×	77 0.5×	326 2.1×	171 1.3×	50	1.1k
Ikuko Nakamura Japan	10	210 0.7×	241 1.1×	141 0.9×	106 0.7×	33 0.2×	19	699
Sufyan G. Sayyed India	10	316 1.1×	109 0.5×	193 1.2×	102 0.7×	46 0.3×	12	706

Countries citing papers authored by Yuta Takagaki

Since Specialization

Citations

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

Fields of papers citing papers by Yuta Takagaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Takagaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Takagaki. A scholar is included among the top collaborators of Yuta Takagaki 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 Yuta Takagaki. Yuta Takagaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Yang, Fan, et al.. (2023). Inhibition of Dipeptidyl Peptidase-4 Activates Autophagy to Promote Survival of Breast Cancer Cells via the mTOR/HIF-1α Pathway. Cancers. 15(18). 4529–4529. 4 indexed citations

Kanasaki, Keizo, Makoto Katô, Yoshio Ogura, et al.. (2022). Adenosine/adenosine type 1 receptor signaling pathway did not play dominant roles on the influence of sodium–glucose cotransporter 2 inhibitor in the kidney of bovine serum albumin‐overloaded streptozotocin‐induced diabetic mice. Journal of Diabetes Investigation. 13(6). 955–964. 1 indexed citations

Srivastava, Swayam Prakash, Jinpeng Li, Yuta Takagaki, et al.. (2021). Endothelial SIRT3 regulates myofibroblast metabolic shifts in diabetic kidneys. iScience. 24(5). 102390–102390. 51 indexed citations

Kitada, Munehiro, Itaru Monno, Yoshihiro Hayashi, et al.. (2021). Sodium–glucose cotransporter 2 inhibitors in type 2 diabetes patients with renal function impairment slow the annual renal function decline, in a real clinical practice. Journal of Diabetes Investigation. 12(9). 1577–1585. 9 indexed citations

Li, Jinpeng, Haijie Liu, Susumu Takagi, et al.. (2020). Renal protective effects of empagliflozin via inhibition of EMT and aberrant glycolysis in proximal tubules. JCI Insight. 5(6). 186 indexed citations breakdown →

Yang, Fan, Asako Kumagai, Yuta Takagaki, et al.. (2020). Metformin Mitigates DPP-4 Inhibitor-Induced Breast Cancer Metastasis via Suppression of mTOR Signaling. Molecular Cancer Research. 19(1). 61–73. 30 indexed citations

Kanasaki, Keizo, Kyoko Nitta, Yuka Nakamura, et al.. (2020). CD‐1^db/db mice: A novel type 2 diabetic mouse model with progressive kidney fibrosis. Journal of Diabetes Investigation. 11(6). 1470–1481. 8 indexed citations

Takagaki, Yuta, et al.. (2020). Endothelial autophagy deficiency induces IL6 - dependent endothelial mesenchymal transition and organ fibrosis. Autophagy. 16(10). 1905–1914. 99 indexed citations

Liu, Haijie, Yuta Takagaki, Asako Kumagai, Keizo Kanasaki, & Daisuke Koya. (2020). The PKM2 activator TEPP‐46 suppresses kidney fibrosis via inhibition of the EMT program and aberrant glycolysis associated with suppression of HIF‐1α accumulation. Journal of Diabetes Investigation. 12(5). 697–709. 76 indexed citations

10.

Kitada, Munehiro, Yoshihiro Hayashi, Itaru Monno, et al.. (2020). Case report of superior mesenteric artery syndrome that developed in a lean type 2 diabetes patient and was associated with rapid body weight loss after sodium–glucose cotransporter 2 inhibitor administration. Journal of Diabetes Investigation. 11(5). 1359–1362. 4 indexed citations

11.

Takagaki, Yuta, Sen Shi, Makoto Katoh, et al.. (2019). Dipeptidyl peptidase-4 plays a pathogenic role in BSA-induced kidney injury in diabetic mice. Scientific Reports. 9(1). 7519–7519. 25 indexed citations

12.

Kanasaki, Keizo, Shinichi TSUDA, Ai Watanabe, et al.. (2018). Severe electrolytes disorders with the interstitial kidney alterations in the patient with the history of total thyroidectomy and parathyroidectomy: possible role of vitamin D deficiency. Clinical Case Reports. 6(6). 983–989. 1 indexed citations

13.

Takagi, Susumu, Jinpeng Li, Yuta Takagaki, et al.. (2018). Ipragliflozin improves mitochondrial abnormalities in renal tubules induced by a high‐fat diet. Journal of Diabetes Investigation. 9(5). 1025–1032. 98 indexed citations

14.

Yang, Fan, Yuta Takagaki, Yasuo Yoshitomi, et al.. (2018). Inhibition of Dipeptidyl Peptidase-4 Accelerates Epithelial–Mesenchymal Transition and Breast Cancer Metastasis via the CXCL12/CXCR4/mTOR Axis. Cancer Research. 79(4). 735–746. 103 indexed citations

15.

Takagaki, Yuta, Daisuke Koya, & Keizo Kanasaki. (2016). Dipeptidyl peptidase-4 inhibition and renoprotection. Current Opinion in Nephrology & Hypertension. 26(1). 56–66. 16 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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