Keiko Sekine

717 total citations
8 papers, 588 citations indexed

About

Keiko Sekine is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Keiko Sekine has authored 8 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Keiko Sekine's work include Cell death mechanisms and regulation (4 papers), Peptidase Inhibition and Analysis (3 papers) and Signaling Pathways in Disease (2 papers). Keiko Sekine is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Peptidase Inhibition and Analysis (3 papers) and Signaling Pathways in Disease (2 papers). Keiko Sekine collaborates with scholars based in Japan and China. Keiko Sekine's co-authors include Mikihiko Naito, Takashi Tsuruo, Kiyohiro Nishikawa, Fuminori Abe, Yanyan Hao, Hideji Fujii, Yurika Saitoh, Ikuo Saiki, Keiichi Koizumi and Toshiyasu Ishioka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Keiko Sekine

8 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keiko Sekine Japan	8	452	246	62	60	60	8	588
Antonio Marzio United States	11	620 1.4×	247 1.0×	57 0.9×	32 0.5×	53 0.9×	13	783
Anna M. Knapinska United States	14	361 0.8×	163 0.7×	29 0.5×	32 0.5×	172 2.9×	26	552
Dejan Caglič Slovenia	10	245 0.5×	132 0.5×	34 0.5×	30 0.5×	215 3.6×	16	537
Cecilia Grimaldi Italy	13	517 1.1×	119 0.5×	75 1.2×	18 0.3×	81 1.4×	17	723
Megan L. Choy United States	7	536 1.2×	204 0.8×	35 0.6×	12 0.2×	26 0.4×	7	623
Luba Benimetskaya United States	16	718 1.6×	109 0.4×	26 0.4×	18 0.3×	124 2.1×	22	861
Claire Bonfils Canada	12	956 2.1×	287 1.2×	41 0.7×	32 0.5×	32 0.5×	25	1.1k
Marie-Christine Multon France	11	441 1.0×	138 0.6×	31 0.5×	25 0.4×	90 1.5×	14	667
Sofia Depner Germany	12	330 0.7×	227 0.9×	33 0.5×	24 0.4×	127 2.1×	12	641
Sandhya Kumaraswamy United States	5	909 2.0×	203 0.8×	59 1.0×	34 0.6×	44 0.7×	9	1.1k

Countries citing papers authored by Keiko Sekine

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Sekine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Sekine

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

All Works

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8 of 8 papers shown

Miyazaki, Osamu, Keiko Sekine, Naoko Nakajima, et al.. (2013). Antimyeloma activity of NK012, a micelle‐forming macromolecular prodrug of SN‐38, in an orthotopic model. International Journal of Cancer. 134(1). 218–223. 13 indexed citations

Sekine, Keiko, Ryo Kikuchi, Masayuki Kitagawa, et al.. (2008). Small Molecules Destabilize cIAP1 by Activating Auto-ubiquitylation. Journal of Biological Chemistry. 283(14). 8961–8968. 147 indexed citations

Sato, Shinichi, Keiko Sekine, Hiroyuki Miyachi, et al.. (2008). Degradation-promoters of cellular inhibitor of apoptosis protein 1 based on bestatin and actinonin. Bioorganic & Medicinal Chemistry. 16(8). 4685–4698. 23 indexed citations

Fujii, Hideji, Yurika Saitoh, Keiichi Koizumi, et al.. (2006). Aminopeptidase N (APN/CD13) is selectively expressed in vascular endothelial cells and plays multiple roles in angiogenesis. Cancer Letters. 243(1). 135–143. 112 indexed citations

Saitoh, Yurika, Keiichi Koizumi, T. Minami, et al.. (2006). A Derivative of Aminopeptidase Inhibitor (BE15) Has a Dual Inhibitory Effect of Invasion and Motility on Tumor and Endothelial Cells. Biological and Pharmaceutical Bulletin. 29(4). 709–712. 26 indexed citations

Sekine, Keiko, Yanyan Hao, Yasuyuki Suzuki, et al.. (2005). HtrA2 cleaves Apollon and induces cell death by IAP-binding motif in Apollon-deficient cells. Biochemical and Biophysical Research Communications. 330(1). 279–285. 41 indexed citations

Hao, Yanyan, Keiko Sekine, Atsushi Kawabata, et al.. (2004). Apollon ubiquitinates SMAC and caspase-9, and has an essential cytoprotection function. Nature Cell Biology. 6(9). 849–860. 189 indexed citations

Sekine, Keiko, Hideji Fujii, Fuminori Abe, & Kiyohiro Nishikawa. (2001). Augmentation of death ligand‐induced apoptosis by aminopeptidase inhibitors in human solid tumor cell lines. International Journal of Cancer. 94(4). 485–491. 37 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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