Go Urabe

719 total citations
29 papers, 558 citations indexed

About

Go Urabe is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Go Urabe has authored 29 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Go Urabe's work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Peripheral Artery Disease Management (5 papers). Go Urabe is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Peripheral Artery Disease Management (5 papers). Go Urabe collaborates with scholars based in United States, Japan and China. Go Urabe's co-authors include Lian‐Wang Guo, K. Craig Kent, Xudong Shi, Lingjun Li, Bowen Wang, Matthew S. Glover, Bowen Wang, Qing Yu, Zhengwei Chen and Tetsuro Miyata and has published in prestigious journals such as Biomaterials, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Go Urabe

29 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go Urabe United States 14 355 121 99 70 53 29 558
Vasiliki Lygirou Greece 14 241 0.7× 90 0.7× 73 0.7× 75 1.1× 16 0.3× 29 451
Olivia Beseme France 15 265 0.7× 70 0.6× 82 0.8× 36 0.5× 11 0.2× 32 537
Zhifang Hao China 13 282 0.8× 36 0.3× 68 0.7× 27 0.4× 23 0.4× 18 529
Hong Jin China 16 336 0.9× 23 0.2× 66 0.7× 54 0.8× 13 0.2× 33 597
Kaja Lund Norway 11 231 0.7× 82 0.7× 31 0.3× 34 0.5× 32 0.6× 13 395
Song Zhao China 16 459 1.3× 52 0.4× 46 0.5× 119 1.7× 19 0.4× 31 734
Shola S. Sulaimon United States 6 244 0.7× 37 0.3× 66 0.7× 91 1.3× 8 0.2× 8 452
Saverio Mazza Italy 11 137 0.4× 156 1.3× 35 0.4× 63 0.9× 16 0.3× 17 414
Alpesh Thakker United Kingdom 9 184 0.5× 97 0.8× 14 0.1× 23 0.3× 45 0.8× 16 359
Shaobo Yang China 12 189 0.5× 57 0.5× 27 0.3× 46 0.7× 28 0.5× 36 574

Countries citing papers authored by Go Urabe

Since Specialization
Citations

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

Fields of papers citing papers by Go Urabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Urabe

This figure shows the co-authorship network connecting the top 25 collaborators of Go Urabe. A scholar is included among the top collaborators of Go Urabe 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 Go Urabe. Go Urabe 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.
Shirasu, Takuro, Go Urabe, Nisakorn Yodsanit, et al.. (2024). Nano-based perivascular intervention sustains a nine-month long-term suppression of intimal hyperplasia in vein grafts. Bioactive Materials. 44. 82–96. 1 indexed citations
2.
Shirasu, Takuro, Nisakorn Yodsanit, Yitao Huang, et al.. (2023). Neointima abating and endothelium preserving — An adventitia-localized nanoformulation to inhibit the epigenetic writer DOT1L. Biomaterials. 301. 122245–122245. 5 indexed citations
3.
Zhang, Mengxue, Jing Li, Qingwei Wang, et al.. (2023). Gene-repressing epigenetic reader EED unexpectedly enhances cyclinD1 gene activation. Molecular Therapy — Nucleic Acids. 31. 717–729. 8 indexed citations
4.
Zhang, Mengxue, Go Urabe, Hatice Gülçin Özer, et al.. (2022). Angioplasty induces epigenomic remodeling in injured arteries. Life Science Alliance. 5(5). e202101114–e202101114. 8 indexed citations
5.
Urabe, Go, et al.. (2022). A compartment syndrome complicated by transradial catheterization: a pitfall between guiding catheter and guidewire. Cardiovascular Intervention and Therapeutics. 38(1). 130–131. 1 indexed citations
6.
Wang, Qingwei, Hatice Gülçin Özer, Bowen Wang, et al.. (2021). A hierarchical and collaborative BRD4/CEBPD partnership governs vascular smooth muscle cell inflammation. Molecular Therapy — Methods & Clinical Development. 21. 54–66. 19 indexed citations
7.
Li, Jing, Go Urabe, Yitao Huang, et al.. (2021). A Role for Polo-Like Kinase 4 in Vascular Fibroblast Cell-Type Transition. JACC Basic to Translational Science. 6(3). 257–283. 6 indexed citations
8.
Shirasu, Takuro, Nisakorn Yodsanit, Yi Zhao, et al.. (2021). An adventitial painting modality of local drug delivery to abate intimal hyperplasia. Biomaterials. 275. 120968–120968. 12 indexed citations
9.
Huang, Yitao, Go Urabe, Mengxue Zhang, et al.. (2020). Nullifying epigenetic writer DOT1L attenuates neointimal hyperplasia. Atherosclerosis. 308. 22–31. 16 indexed citations
10.
Wang, Bowen, Mengxue Zhang, Go Urabe, et al.. (2020). PERK Inhibition Promotes Post-angioplasty Re-endothelialization via Modulating SMC Phenotype Changes. Journal of Surgical Research. 257. 294–305. 7 indexed citations
11.
Wang, Bowen, Mengxue Zhang, Go Urabe, et al.. (2020). PERK Inhibition Mitigates Restenosis and Thrombosis. JACC Basic to Translational Science. 5(3). 245–263. 18 indexed citations
12.
Franco, Sarah, Go Urabe, Matthew Kelly, et al.. (2020). Role of FOXM1 in vascular smooth muscle cell survival and neointima formation following vascular injury. Heliyon. 6(6). e04028–e04028. 7 indexed citations
13.
Xie, Xiujie, et al.. (2019). ALDH1A3 Regulations of Matricellular Proteins Promote Vascular Smooth Muscle Cell Proliferation. iScience. 19. 872–882. 25 indexed citations
14.
Zhang, Mengxue, Bowen Wang, Go Urabe, et al.. (2019). The BD2 domain of BRD4 is a determinant in EndoMT and vein graft neointima formation. Cellular Signalling. 61. 20–29. 19 indexed citations
15.
Zhang, Mengxue, Go Urabe, Christopher J. Little, et al.. (2018). HDAC6 Regulates the MRTF-A/SRF Axis and Vascular Smooth Muscle Cell Plasticity. JACC Basic to Translational Science. 3(6). 782–795. 29 indexed citations
16.
Wang, Bowen, Guojun Chen, Go Urabe, et al.. (2018). A paradigm of endothelium-protective and stent-free anti-restenotic therapy using biomimetic nanoclusters. Biomaterials. 178. 293–301. 39 indexed citations
17.
Zhu, Yichen, Toshio Takayama, Bowen Wang, et al.. (2017). Restenosis Inhibition and Re-differentiation of TGFβ/Smad3-activated Smooth Muscle Cells by Resveratrol. Scientific Reports. 7(1). 41916–41916. 24 indexed citations
18.
Urabe, Go, et al.. (2015). Structural analysis of adventitial collagen to feature aging and aneurysm formation in human aorta. Journal of Vascular Surgery. 63(5). 1341–1350. 21 indexed citations
19.
Urabe, Go, Tatsu Nakazawa, Nobuo Kanazawa, & Kojiro Kuroiwa. (2014). Intermittent Claudication Caused by Small Aorta Syndrome: A Case Report and Review of Literature. Annals of Vascular Diseases. 7(2). 145–148. 3 indexed citations
20.

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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