Atsuko Deguchi

2.0k total citations
36 papers, 1.7k citations indexed

About

Atsuko Deguchi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Atsuko Deguchi has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Atsuko Deguchi's work include S100 Proteins and Annexins (6 papers), Immune Response and Inflammation (6 papers) and Inflammatory mediators and NSAID effects (6 papers). Atsuko Deguchi is often cited by papers focused on S100 Proteins and Annexins (6 papers), Immune Response and Inflammation (6 papers) and Inflammatory mediators and NSAID effects (6 papers). Atsuko Deguchi collaborates with scholars based in Japan, United States and Australia. Atsuko Deguchi's co-authors include I. Bernard Weinstein, Masahito Shimizu, Jin T. E. Lim, Hisataka Moriwaki, Jae‐Won Soh, Masumi Suzui, Levy Kopelovich, William J. Thompson, Yoshiro Maru and Muneyuki Masuda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cancer Research.

In The Last Decade

Atsuko Deguchi

35 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuko Deguchi Japan 22 810 460 340 253 201 36 1.7k
Bu Young Choi South Korea 27 1.3k 1.6× 361 0.8× 446 1.3× 208 0.8× 335 1.7× 56 2.6k
Sylvie Lamy Canada 22 717 0.9× 235 0.5× 281 0.8× 312 1.2× 241 1.2× 32 1.6k
Sivaprakasam Balasubramanian United States 21 817 1.0× 244 0.5× 261 0.8× 136 0.5× 152 0.8× 30 1.4k
Jung‐Il Chae South Korea 29 1.3k 1.6× 189 0.4× 250 0.7× 124 0.5× 208 1.0× 84 2.1k
Tomokazu Ohishi Japan 26 1.3k 1.6× 454 1.0× 677 2.0× 229 0.9× 449 2.2× 98 2.7k
Roberta Venè Italy 16 769 0.9× 206 0.4× 167 0.5× 125 0.5× 164 0.8× 21 1.4k
Kee-Oh Chay South Korea 17 494 0.6× 245 0.5× 144 0.4× 145 0.6× 134 0.7× 35 1.1k
M. Waheed Roomi Canada 22 636 0.8× 226 0.5× 208 0.6× 108 0.4× 277 1.4× 83 1.5k
Sonia Emanuele Italy 25 1.0k 1.3× 150 0.3× 298 0.9× 149 0.6× 321 1.6× 51 1.8k
Gianfranco Fassina Italy 15 593 0.7× 217 0.5× 294 0.9× 132 0.5× 420 2.1× 29 1.3k

Countries citing papers authored by Atsuko Deguchi

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Deguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Deguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Deguchi. A scholar is included among the top collaborators of Atsuko Deguchi 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 Atsuko Deguchi. Atsuko Deguchi 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.
Deguchi, Atsuko, et al.. (2024). S100A8 as a potential therapeutic target for cancer metastasis. Cancer Science. 116(2). 322–328.
2.
Deguchi, Atsuko, Taishi Mishima, Umeharu Ohto, et al.. (2023). Novel multivalent S100A8 inhibitory peptides attenuate tumor progression and metastasis by inhibiting the TLR4-dependent pathway. Cancer Gene Therapy. 30(7). 973–984. 8 indexed citations
3.
Deguchi, Atsuko & Yoshiro Maru. (2022). Inflammation-associated premetastatic niche formation. Inflammation and Regeneration. 42(1). 22–22. 22 indexed citations
4.
Deguchi, Atsuko, Tomoko Yamamoto, Noriyuki Shibata, & Yoshiro Maru. (2021). S100A8 may govern hyper‐inflammation in severe COVID‐19. The FASEB Journal. 35(9). e21798–e21798. 13 indexed citations
5.
Deguchi, Atsuko & Yoshiro Maru. (2017). Dickkopf-1 helps metastasis by immune evasion. Translational Cancer Research. 6(S9). S1422–S1424. 1 indexed citations
6.
Deguchi, Atsuko. (2015). Curcumin Targets in Inflammation and Cancer. Endocrine Metabolic & Immune Disorders - Drug Targets. 15(2). 88–96. 91 indexed citations
7.
Deguchi, Atsuko, Takeshi Tomita, Umeharu Ohto, et al.. (2015). Eritoran inhibits S100A8-mediated TLR4/MD-2 activation and tumor growth by changing the immune microenvironment. Oncogene. 35(11). 1445–1456. 60 indexed citations
8.
Maru, Yoshiro, Takeshi Tomita, Atsuko Deguchi, et al.. (2015). Drug Targeting Based on a New Concept-Targeting Against TLR4 as an Example. Endocrine Metabolic & Immune Disorders - Drug Targets. 15(2). 83–87. 5 indexed citations
9.
Ieguchi, Katsuaki, et al.. (2013). Ephrin-A1 expression induced by S100A8 is mediated by the toll-like receptor 4. Biochemical and Biophysical Research Communications. 440(4). 623–629. 14 indexed citations
10.
Ieguchi, Katsuaki, Takeshi Tomita, Atsuko Deguchi, et al.. (2013). ADAM12-cleaved ephrin-A1 contributes to lung metastasis. Oncogene. 33(17). 2179–2190. 58 indexed citations
11.
Deguchi, Atsuko, Hiroyuki Miyoshi, Yasushi Kojima, et al.. (2010). LKB1 Suppresses p21-activated Kinase-1 (PAK1) by Phosphorylation of Thr109 in the p21-binding Domain. Journal of Biological Chemistry. 285(24). 18283–18290. 27 indexed citations
12.
Miyoshi, Hiroyuki, Atsuko Deguchi, Masayuki Nakau, et al.. (2009). Hepatocellular carcinoma development induced by conditional β‐catenin activation in Lkb1+/− mice. Cancer Science. 100(11). 2046–2053. 28 indexed citations
13.
Deguchi, Atsuko, et al.. (2007). Dip1 inhibits growth and gene transcription in MCF-7 breast cancer cells.. PubMed. 6(2). 117–27. 5 indexed citations
14.
15.
Shimizu, Masahito, Atsuko Deguchi, Yukihiko Hara, Hisataka Moriwaki, & I. Bernard Weinstein. (2005). EGCG inhibits activation of the insulin-like growth factor-1 receptor in human colon cancer cells. Biochemical and Biophysical Research Communications. 334(3). 947–953. 106 indexed citations
16.
Masuda, Muneyuki, Masumi Suzui, Jin T. E. Lim, et al.. (2002). Epigallocatechin‐3‐gallate decreases VEGF production in head and neck and breast carcinoma cells by inhibiting EGFR‐related pathways of signal transduction. PubMed. 2(6). 350–359. 197 indexed citations
17.
Deguchi, Atsuko, Kaoru Segawa, Kohei Hosaka, I. Bernard Weinstein, & Kazuo Umezawa. (2002). Overexpression of Phosphatidylinositol Synthase Enhances Growth and G1 Progression in NIH3T3 cells. Japanese Journal of Cancer Research. 93(2). 157–166. 12 indexed citations
18.
Deguchi, Atsuko, Jae‐Won Soh, Han Li, et al.. (2002). Vasodilator-stimulated phosphoprotein (VASP) phosphorylation provides a biomarker for the action of exisulind and related agents that activate protein kinase G.. PubMed. 1(10). 803–9. 57 indexed citations
19.
Deguchi, Atsuko, Masaya Imoto, & Kazuo Umezawa. (1996). Inhibition of G1 Cyclin Expression in Normal Rat Kidney Cells by Inostamycin, a Phosphatidylinositol Synthesis Inhibitor. The Journal of Biochemistry. 120(6). 1118–1122. 17 indexed citations
20.
Imoto, Masaya, et al.. (1994). Involvement of Phosphatidylinositol Synthesis in the Regulation of S Phase Induction. Experimental Cell Research. 215(1). 228–233. 18 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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