Mika Suzuki

2.8k total citations
99 papers, 2.2k citations indexed

About

Mika Suzuki is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Mika Suzuki has authored 99 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 31 papers in Cancer Research and 14 papers in Cell Biology. Recurrent topics in Mika Suzuki's work include Protease and Inhibitor Mechanisms (22 papers), Cell Adhesion Molecules Research (10 papers) and Proteoglycans and glycosaminoglycans research (8 papers). Mika Suzuki is often cited by papers focused on Protease and Inhibitor Mechanisms (22 papers), Cell Adhesion Molecules Research (10 papers) and Proteoglycans and glycosaminoglycans research (8 papers). Mika Suzuki collaborates with scholars based in Japan, United States and United Kingdom. Mika Suzuki's co-authors include Toshihiko Terao, Hiroshi Kobayashi, Naohiro Kanayama, Yoshiko Tanaka, David G. Jackson, Yasuyuki Hirashima, Evangeline Mose, Kiyokazu Inagaki, Toshiharu Kondo and Tatsuo Yagyu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Biomaterials.

In The Last Decade

Mika Suzuki

97 papers receiving 2.2k citations

Peers

Mika Suzuki
Mika Suzuki
Citations per year, relative to Mika Suzuki Mika Suzuki (= 1×) peers Pascal Gauduchon

Countries citing papers authored by Mika Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Mika Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Suzuki. A scholar is included among the top collaborators of Mika Suzuki 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 Mika Suzuki. Mika Suzuki 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.
Qiao, Nan, Mao Hori, Mitsuru Naito, et al.. (2025). Increasing polycation hydrophobicity in mRNA polyplex vaccines enhances the efficacy of humoral and cellular immunity induction. Biomaterials. 324. 123515–123515. 1 indexed citations
2.
Moteki, Hideaki, Mika Suzuki, Yasushi Naito, et al.. (2013). Evaluation of cortical processing of language by use of positron emission tomography in hearing loss children with congenital cytomegalovirus infection. International Journal of Pediatric Otorhinolaryngology. 78(2). 285–289. 2 indexed citations
3.
Montel, Valérie, et al.. (2009). Expression of melanocyte-related genes in human breast cancer and its implications. Differentiation. 78(5). 283–291. 33 indexed citations
4.
Suzuki, Mika, et al.. (2007). Osteopontin Gene Expression Determines Spontaneous Metastatic Performance of Orthotopic Human Breast Cancer Xenografts. American Journal Of Pathology. 171(2). 682–692. 27 indexed citations
5.
Suzuki, Mika, Evangeline Mose, Valérie Montel, & David G. Jackson. (2006). Dormant Cancer Cells Retrieved from Metastasis-Free Organs Regain Tumorigenic and Metastatic Potency. American Journal Of Pathology. 169(2). 673–681. 97 indexed citations
6.
Kobayashi, Hiroshi, Ryuji Yoshida, Tatsuo Yagyu, et al.. (2005). DIETARY SUPPLEMENTATION OF SOYBEAN KUNITZ TRYPSIN INHIBITOR REDUCES LIPOPOLYSACCHARIDE-INDUCED LETHALITY IN MOUSE MODEL. Shock. 23(5). 441–447. 8 indexed citations
7.
Yagyu, Tatsuo, Hiroshi Kobayashi, Hidenori Matsuzaki, et al.. (2004). A kunitz‐type protease inhibitor bikunin disrupts ligand‐induced oligomerization of receptors for transforming growth factor (TGF)‐β and subsequently suppresses TGF‐β signalings. FEBS Letters. 576(3). 408–416. 8 indexed citations
8.
Suzuki, Mika, Hiroshi Kobayashi, Yoshiko Tanaka, Naohiro Kanayama, & Toshihiko Terao. (2004). Reproductive failure in mice lacking inter-alpha-trypsin inhibitor (ITI) – ITI target genes in mouse ovary identified by microarray analysis. Journal of Endocrinology. 183(1). 29–38. 18 indexed citations
9.
Kobayashi, Hiroshi, Mika Suzuki, Naohiro Kanayama, & Toshihiko Terao. (2004). Genetic Down-regulation of Phosphoinositide 3-Kinase by Bikunin Correlates with Suppression of Invasion and Metastasis in Human Ovarian Cancer HRA Cells. Journal of Biological Chemistry. 279(8). 6371–6379. 14 indexed citations
10.
Kobayashi, Hiroshi, Tatsuo Yagyu, Kiyokazu Inagaki, et al.. (2004). Therapeutic efficacy of once‐daily oral administration of a Kunitz‐type protease inhibitor, bikunin, in a mouse model and in human cancer. Cancer. 100(4). 869–877. 31 indexed citations
11.
Tanaka, Yoshiko, Hiroshi Kobayashi, Mika Suzuki, Naohiro Kanayama, & Toshihiko Terao. (2004). Transforming Growth Factor-β1-dependent Urokinase Up-regulation and Promotion of Invasion Are Involved in Src-MAPK-dependent Signaling in Human Ovarian Cancer Cells. Journal of Biological Chemistry. 279(10). 8567–8576. 68 indexed citations
13.
Kobayashi, Hiroshi, Mika Suzuki, Yasuyuki Hirashima, & Toshihiko Terao. (2003). The Protease Inhibitor Bikunin, a Novel Anti-Metastatic Agent. Biological Chemistry. 384(5). 749–54. 66 indexed citations
14.
Kobayashi, Hiroshi, et al.. (2002). Link protein as an enhancer of cumulus cell–oocyte complex expansion. Molecular Reproduction and Development. 63(2). 223–231. 10 indexed citations
15.
Kobayashi, Hiroshi, Mika Suzuki, Naohiro Kanayama, et al.. (2002). CD44 stimulation by fragmented hyaluronic acid induces upregulation of urokinase‐type plasminogen activator and its receptor and subsequently facilitates invasion of human chondrosarcoma cells. International Journal of Cancer. 102(4). 379–389. 42 indexed citations
16.
Suzuki, Mika, Hiroshi Kobayashi, Naohiro Kanayama, et al.. (2002). CD44 stimulation by fragmented hyaluronic acid induces upregulation and tyrosine phosphorylation of c-Met receptor protein in human chondrosarcoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1591(1-3). 37–44. 19 indexed citations
17.
Kuriyama-Matsumura, Kazumi, Hideyo Sato, Mika Suzuki, & Shiro Bannai. (2001). Effects of hyperoxia and iron on iron regulatory protein-1 activity and the ferritin synthesis in mouse peritoneal macrophages. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1544(1-2). 370–377. 15 indexed citations
18.
Suzuki, Mika, et al.. (2000). Suppression of urokinase-type plasminogen activator expression from human ovarian cancer cells by urinary trypsin inhibitor. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1481(2). 310–316. 23 indexed citations
19.
Ikai, Yoshitomo, et al.. (1997). ペプチドの構成アミノ酸の絶対配置決定のためのLC/MSを用いる非経験的方法 Marfey法の限界とその分離機構の解明. Analytical Chemistry. 69(16). 3346–3352. 1 indexed citations
20.
Suzuki, Mika, et al.. (1991). Inhibitory Effect of 2‐0‐Octadecylascorbic Acid in Agglutination Assay with Concanavalin A; Short‐term Examination of Rat Urinary Bladder Carcinogenesis. Japanese Journal of Cancer Research. 82(4). 386–389. 3 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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