Jun Sukegawa

2.1k total citations
40 papers, 1.8k citations indexed

About

Jun Sukegawa is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jun Sukegawa has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Jun Sukegawa's work include Receptor Mechanisms and Signaling (12 papers), RNA Research and Splicing (10 papers) and RNA and protein synthesis mechanisms (7 papers). Jun Sukegawa is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), RNA Research and Splicing (10 papers) and RNA and protein synthesis mechanisms (7 papers). Jun Sukegawa collaborates with scholars based in Japan, United States and France. Jun Sukegawa's co-authors include Günter Blobel, Kentaro Semba, Yuji Yamanashi, K Toyoshima, Noriyuki Miyajima, Tadashi Yamamoto, M Nishizawa, Teruyuki Yanagisawa, S. Fukushige and Kumao Toyoshima and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Sukegawa

40 papers receiving 1.8k citations

Peers

Jun Sukegawa
Carolina Mailhos United Kingdom
Leah Conroy United States
Liza Zokas United States
C Abate United States
John Sap United States
Mads Lerdrup Denmark
F S Walsh United Kingdom
Carolina Mailhos United Kingdom
Jun Sukegawa
Citations per year, relative to Jun Sukegawa Jun Sukegawa (= 1×) peers Carolina Mailhos

Countries citing papers authored by Jun Sukegawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sukegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sukegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sukegawa. A scholar is included among the top collaborators of Jun Sukegawa 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 Jun Sukegawa. Jun Sukegawa 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.
Saito, Masaki, et al.. (2019). Activity of Adenylyl Cyclase Type 6 Is Suppressed by Direct Binding of the Cytoskeletal Protein 4.1G. Molecular Pharmacology. 96(4). 441–451. 7 indexed citations
2.
Katsushima, Yuriko, Takeya Sato, Yuki Suzuki, et al.. (2013). Interaction of PICK1 with C-Terminus of Growth Hormone–Releasing Hormone Receptor (GHRHR) Modulates Trafficking and Signal Transduction of Human GHRHR. Journal of Pharmacological Sciences. 122(3). 193–204. 4 indexed citations
3.
Goto, Toshihiro, Ayano Chiba, Jun Sukegawa, et al.. (2012). Suppression of adenylyl cyclase-mediated cAMP production by plasma membrane associated cytoskeletal protein 4.1G. Cellular Signalling. 25(3). 690–697. 10 indexed citations
4.
Kuramasu, Atsuo, Jun Sukegawa, Takeya Sato, et al.. (2011). The hydrophobic amino acids in putative helix 8 in carboxy-terminus of histamine H3 receptor are involved in receptor-G-protein coupling. Cellular Signalling. 23(11). 1843–1849. 7 indexed citations
5.
Hara, Yoshinobu, Hideaki Tamaki, Jun Sukegawa, et al.. (2010). Vezatin, a potential target for ADP-ribosylation factor 6, regulates the dendritic formation of hippocampal neurons. Neuroscience Research. 67(2). 126–136. 16 indexed citations
6.
Maeda, Kay, Atsuo Kuramasu, Takeya Sato, et al.. (2008). CLIC4 interacts with histamine H3 receptor and enhances the receptor cell surface expression. Biochemical and Biophysical Research Communications. 369(2). 603–608. 17 indexed citations
7.
Xu, Ajing, Atsuo Kuramasu, Kay Maeda, et al.. (2008). Agonist‐induced internalization of histamine H2 receptor and activation of extracellular signal‐regulated kinases are dynamin‐dependent. Journal of Neurochemistry. 107(1). 208–217. 14 indexed citations
8.
Sakagami, Hiroyuki, Masahiro Fukaya, Taisuke Miyazaki, et al.. (2007). IQ-ArfGEF/BRAG1 is a guanine nucleotide exchange factor for Arf6 that interacts with PSD-95 at postsynaptic density of excitatory synapses. Neuroscience Research. 60(2). 199–212. 63 indexed citations
9.
Sakagami, Hiroyuki, T. Honma, Jun Sukegawa, et al.. (2007). Somatodendritic localization of EFA6A, a guanine nucleotide exchange factor for ADP‐ribosylation factor 6, and its possible interaction with α‐actinin in dendritic spines. European Journal of Neuroscience. 25(3). 618–628. 28 indexed citations
10.
Sasaki, Masako, et al.. (2006). Low expression of cell-surface thromboxane A2 receptor β-isoform through the negative regulation of its membrane traffic by proteasomes. Prostaglandins & Other Lipid Mediators. 83(4). 237–249. 13 indexed citations
11.
Suzuki, Hideaki, Jalal Izadi Mobarakeh, Kazuo Nunoki, et al.. (2005). Effects of activation of central nervous histamine receptors in cardiovascular regulation; studies in H1 and H2 receptor gene knockout mice. Naunyn-Schmiedeberg s Archives of Pharmacology. 371(2). 99–106. 11 indexed citations
12.
Saito, Masaki, et al.. (2005). Increase in cell-surface localization of parathyroid hormone receptor by cytoskeletal protein 4.1G. Biochemical Journal. 392(1). 75–81. 28 indexed citations
13.
Saito, Masaki, Yuriko Katsushima, Yoshitaka Kinouchi, et al.. (2003). PTH/PTH-related protein receptor interacts directly with Tctex-1 through its COOH terminus. Biochemical and Biophysical Research Communications. 311(1). 24–31. 41 indexed citations
14.
Yanagisawa, Teruyuki, Takeya Sato, Hiroaki Yamada, Jun Sukegawa, & Kazuo Nunoki. (2000). Selectivity and Potency of Agonists for the Three Subtypes of Cloned Human β-Adrenoceptors Expressed in Chinese Hamster Ovary Cells. The Tohoku Journal of Experimental Medicine. 192(3). 181–193. 22 indexed citations
15.
Watanabe, Takuo, Jun Sukegawa, Susumu Tomita, et al.. (1999). A 127‐kDa Protein (UV‐DDB) Binds to the Cytoplasmic Domain of the Alzheimer's Amyloid Precursor Protein. Journal of Neurochemistry. 72(2). 549–556. 42 indexed citations
16.
Sukegawa, Jun & Günter Blobel. (1995). A Putative Mammalian RNA Helicase with an Arginine-Serine-rich Domain Colocalizes with a Splicing Factor. Journal of Biological Chemistry. 270(26). 15702–15706. 22 indexed citations
17.
Sukegawa, Jun & Günter Blobel. (1993). A nuclear pore complex protein that contains zinc finger motifs, binds DNA, and faces the nucleoplasm. Cell. 72(1). 29–38. 270 indexed citations
18.
Sugawara, K., Isamu Sugawara, Jun Sukegawa, et al.. (1991). Distribution of c-yes-1 gene product in various cells and tissues. British Journal of Cancer. 63(4). 508–513. 19 indexed citations
19.
Yamanashi, Yuji, S. Fukushige, Kentaro Semba, et al.. (1987). The yes -Related Cellular Gene lyn Encodes a Possible Tyrosine Kinase Similar to p56 lck . Molecular and Cellular Biology. 7(1). 237–243. 58 indexed citations
20.
Toyoshima, K, et al.. (1986). Nakahara memorial lecture. Non-receptor type protein-tyrosine kinases closely related to src and yes compose a multigene family.. PubMed. 17. 11–20. 1 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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