Miyuki Ozaki

482 total citations
10 papers, 290 citations indexed

About

Miyuki Ozaki is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Miyuki Ozaki has authored 10 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Miyuki Ozaki's work include Pluripotent Stem Cells Research (4 papers), Cancer Cells and Metastasis (3 papers) and Epigenetics and DNA Methylation (2 papers). Miyuki Ozaki is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Cancer Cells and Metastasis (3 papers) and Epigenetics and DNA Methylation (2 papers). Miyuki Ozaki collaborates with scholars based in Japan. Miyuki Ozaki's co-authors include Yuichiro� Doki, Masamitsu Konno, Masaki Mori, Katsuya Ohta, Shimpei Nishikawa, Koichi Kawamoto, Hideshi Ishii, Yoshihiro Kano, Hidetoshi Eguchi and Takahito Fukusumi and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Miyuki Ozaki

10 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miyuki Ozaki Japan	9	113	83	56	51	46	10	290
Nianlan Yang United States	9	138 1.2×	64 0.8×	36 0.6×	47 0.9×	66 1.4×	13	361
Ammar Ebrahimi Iran	11	171 1.5×	28 0.3×	45 0.8×	81 1.6×	28 0.6×	26	329
Mustapha Zeddou Belgium	11	143 1.3×	91 1.1×	66 1.2×	39 0.8×	48 1.0×	17	353
Ren‐He Xu Macao	9	152 1.3×	37 0.4×	23 0.4×	28 0.5×	49 1.1×	17	301
Da‐Ae Yu South Korea	12	112 1.0×	40 0.5×	46 0.8×	49 1.0×	28 0.6×	32	380
Liziane Raquel Beckenkamp Brazil	11	165 1.5×	118 1.4×	46 0.8×	47 0.9×	57 1.2×	21	409
Maribel Marquez United States	8	185 1.6×	63 0.8×	42 0.8×	19 0.4×	24 0.5×	9	300
Janet Lee South Korea	12	90 0.8×	34 0.4×	45 0.8×	29 0.6×	48 1.0×	14	291
Ria Margiana Indonesia	7	124 1.1×	135 1.6×	72 1.3×	52 1.0×	21 0.5×	11	305
Shaokun Zhang China	9	164 1.5×	21 0.3×	43 0.8×	64 1.3×	39 0.8×	18	346

Countries citing papers authored by Miyuki Ozaki

Since Specialization

Citations

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

Fields of papers citing papers by Miyuki Ozaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Ozaki

This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Ozaki. A scholar is included among the top collaborators of Miyuki Ozaki 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 Miyuki Ozaki. Miyuki Ozaki 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:

10 of 10 papers shown

1.

Asai, Ayumu, Masamitsu Konno, Miyuki Ozaki, et al.. (2021). Scent test using Caenorhabditis elegans to screen for early-stage pancreatic cancer. Oncotarget. 12(17). 1687–1696. 18 indexed citations

2.

Asai, Ayumu, Masamitsu Konno, Miyuki Ozaki, et al.. (2020). COVID-19 Drug Discovery Using Intensive Approaches. International Journal of Molecular Sciences. 21(8). 2839–2839. 46 indexed citations

3.

Konno, Masamitsu, Jun Koseki, Nobuhiro Tanuma, et al.. (2015). Pyruvate kinase M2, but not M1, allele maintains immature metabolic states of murine embryonic stem cells. Regenerative Therapy. 1. 63–71. 6 indexed citations

4.

Konno, Masamitsu, Jun Koseki, Koichi Kawamoto, et al.. (2015). Embryonic MicroRNA-369 Controls Metabolic Splicing Factors and Urges Cellular Reprograming. PLoS ONE. 10(7). e0132789–e0132789. 16 indexed citations

5.

Munakata, Koji, Mamoru Uemura, Ichiro Takemasa, et al.. (2014). SCGB2A1 is a novel prognostic marker for colorectal cancer associated with chemoresistance and radioresistance. International Journal of Oncology. 44(5). 1521–1528. 24 indexed citations

6.

Konno, Masamitsu, Atsushi Hamabe, Shinichiro Hasegawa, et al.. (2013). Adipose‐derived mesenchymal stem cells and regenerative medicine. Development Growth & Differentiation. 55(3). 309–318. 136 indexed citations

7.

Nishikawa, Shimpei, Dyah Laksmi Dewi, Hideshi Ishii, et al.. (2012). Transcriptomic study of dormant gastrointestinal cancer stem cells. International Journal of Oncology. 41(3). 979–984. 10 indexed citations

8.

Nishikawa, Shimpei, Hideshi Ishii, Naotsugu Haraguchi, et al.. (2012). Genotoxic therapy stimulates error-prone DNA repair in dormant hepatocellular cancer stem cells. Experimental and Therapeutic Medicine. 3(6). 959–962. 14 indexed citations

9.

Nishikawa, Shimpei, Hideshi Ishii, Naotsugu Haraguchi, et al.. (2012). microRNA-based cancer cell reprogramming technology. Experimental and Therapeutic Medicine. 4(1). 8–14. 10 indexed citations

10.

Dewi, Dyah Laksmi, Hideshi Ishii, Naotsugu Haraguchi, et al.. (2011). Reprogramming of gastrointestinal cancer cells. Cancer Science. 103(3). 393–399. 10 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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