Go Shioi

1.1k total citations · 1 hit paper
9 papers, 637 citations indexed

About

Go Shioi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Go Shioi has authored 9 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Go Shioi's work include Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (1 paper) and interferon and immune responses (1 paper). Go Shioi is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (1 paper) and interferon and immune responses (1 paper). Go Shioi collaborates with scholars based in Japan and United Kingdom. Go Shioi's co-authors include Osamu Ogasawara, Yoshihiro Okuda, Hideki Hatanaka, Chikara Meno, Hideya Kawaji, Jun Sese, Ryo Nakaki, Shinya Oki, Tazro Ohta and S. Hayashi and has published in prestigious journals such as Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology and Cell Reports.

In The Last Decade

Go Shioi

9 papers receiving 635 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.

Ch IP ‐Atlas: a data‐mining suite powered by full integration of public Ch IP ‐seq data

2018 472 citations Shinya Oki, Tazro Ohta et al. EMBO Reports profile →

Peers

Go Shioi

MB

CR

IMMUN

GENET

ONCOL

Xiaoduo Xie China

Satoko Nishimoto United Kingdom

Yusuke Koga United States

Shijie Li China

Charles DeRossi United States

Sharon Lin United States

Nikolaos Doumpas Switzerland

Audrey O’Neill United States

Midori Koyanagi Japan

Xiaoduo Xie China

Go Shioi

490 ×1.0

MB

89 ×1.0

CR

106 ×1.3

IMMUN

87 ×1.2

GENET

81 ×1.2

ONCOL

Citations per year, relative to Go Shioi Go Shioi (= 1×) peers Xiaoduo Xie

Countries citing papers authored by Go Shioi

Since Specialization

Citations

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

Fields of papers citing papers by Go Shioi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Shioi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Obana, Masanori, Soshi Kanemoto, Go Shioi, et al.. (2022). Upregulation of OASIS/CREB3L1 in podocytes contributes to the disturbance of kidney homeostasis. Communications Biology. 5(1). 734–734. 10 indexed citations

2.

Nagashima, Shun, Keisuke Takeda, Toshifumi Fukuda, et al.. (2019). Critical role of CRAG, a splicing variant of centaurin-γ3/AGAP3, in ELK1-dependent SRF activation at PML bodies. Scientific Reports. 9(1). 4 indexed citations

3.

Oki, Shinya, Tazro Ohta, Go Shioi, et al.. (2018). Ch IP ‐Atlas: a data‐mining suite powered by full integration of public Ch IP ‐seq data. EMBO Reports. 19(12). 472 indexed citations breakdown →

4.

Hara, Tetsuya, Noriko Iwamoto, Masaya Akashi, et al.. (2017). Targeted Disruption of JCAD (Junctional Protein Associated With Coronary Artery Disease)/KIAA1462, a Coronary Artery Disease–Associated Gene Product, Inhibits Angiogenic Processes In Vitro and In Vivo. Arteriosclerosis Thrombosis and Vascular Biology. 37(9). 1667–1673. 25 indexed citations

5.

Hayashi, S., Yoko Inoue, Satoko Hattori, et al.. (2017). Loss of X-linked Protocadherin-19 differentially affects the behavior of heterozygous female and hemizygous male mice. Scientific Reports. 7(1). 5801–5801. 40 indexed citations

6.

Watanabe, Sadanori, Go Shioi, Yasuhide Furuta, & Gohta Goshima. (2016). Intra-spindle Microtubule Assembly Regulates Clustering of Microtubule-Organizing Centers during Early Mouse Development. Cell Reports. 15(1). 54–60. 24 indexed citations

7.

Mukai, Hideyuki, Tsunaki Hongu, Yasunori Kanaho, et al.. (2016). PKN3 is the major regulator of angiogenesis and tumor metastasis in mice. Scientific Reports. 6(1). 18979–18979. 34 indexed citations

8.

Nakama, Takahito, Shigeo Yoshida, Keijiro Ishikawa, et al.. (2016). Different roles played by periostin splice variants in retinal neovascularization. Experimental Eye Research. 153. 133–140. 19 indexed citations

9.

Morimoto, Atsushi, Shuhei Tomita, Masaki Imanishi, et al.. (2014). Overexpressed HIF-2α in Endothelial Cells Promotes Vascularization and Improves Random Pattern Skin Flap Survival. Plastic & Reconstructive Surgery Global Open. 2(4). e132–e132. 9 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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