Go Urabe
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Glycosylation and Glycoproteins Research
- Protein Degradation and Inhibitors
Papers in
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- Protein Degradation and Inhibitors 8
- Histone Deacetylase Inhibitors Research 5
- Ubiquitin and proteasome pathways 5
- Epigenetics and DNA Methylation 3
- Angiogenesis and VEGF in Cancer 3
- Surgery 9
- Peripheral Artery Disease Management 5
- Co-authors
- Lian‐Wang Guo (21 shared papers)K. Craig Kent (16 shared papers)Xudong Shi (4 shared papers)Bowen Wang (14 shared papers)Lingjun Li (3 shared papers)Bowen Wang (1 shared paper)Qing Yu (1 shared paper)Zhengwei Chen (1 shared paper)
- Journals
- Biomaterials (3 papers)JACC Basic to Translational Science (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Go Urabe
29 papers receiving 548 citations
Peers
Comparison fields: 5 of 75
- Spectroscopy 99
- Molecular Biology 355
- Endocrinology, Diabetes and Metabolism 53
- Surgery 121
- Cancer Research 40
Countries citing papers authored by Go Urabe
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
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-authors
The 25 scholars most cited alongside Go Urabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2018 | 39 | |
| 3 | 2009 | 39 | |
| 4 | 2018 | 29 | |
| 5 | 2009 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2015 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 16 | |
| 13 | Epigenetic intervention with a BET inhibitor ameliorates acute retinal ganglion cell death in mice. | 2017 | 15 |
| 14 | 2019 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 7 |
About Go Urabe
Go Urabe is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Emergency Medical Services, having authored 29 papers that have together received 558 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (5 papers), Peripheral Artery Disease Management (5 papers), Ubiquitin and proteasome pathways (5 papers), Epigenetics and DNA Methylation (3 papers), Aortic aneurysm repair treatments (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Central Venous Catheters and Hemodialysis (3 papers). The work is most often cited by research in Spectroscopy (99 citations), Molecular Biology (355 citations), Endocrinology, Diabetes and Metabolism (53 citations), Surgery (121 citations) and Cancer Research (40 citations). Go Urabe has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Lian‐Wang Guo, K. Craig Kent, Xudong Shi, Bowen Wang, Lingjun Li, Bowen Wang, Qing Yu, Zhengwei Chen, Matthew S. Glover and Tetsuro Miyata. Their work appears in journals such as Biomaterials, JACC Basic to Translational Science, Arteriosclerosis Thrombosis and Vascular Biology, iScience and Scientific Reports.
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.