Keiko Sekine

10 total papers · 716 total citations
8 papers, 586 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 586 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 Protease and Inhibitor Mechanisms (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 Protease and Inhibitor Mechanisms (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 Ryohei Katayama 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 581 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Keiko Sekine	449	246	62	60	60	8	586
Ikunoshin Kato	426 0.9×	195 0.8×	26 0.4×	43 0.7×	39 0.7×	11	595
Daniele Conti	340 0.8×	279 1.1×	28 0.5×	27 0.5×	68 1.1×	13	596
Rick Lesniewski	394 0.9×	260 1.1×	74 1.2×	49 0.8×	151 2.5×	10	647
Linda K. Woods	354 0.8×	164 0.7×	40 0.6×	47 0.8×	104 1.7×	10	624
Archis Bagati	341 0.8×	125 0.5×	43 0.7×	25 0.4×	66 1.1×	15	582
Eran Bram	395 0.9×	235 1.0×	32 0.5×	15 0.3×	68 1.1×	12	638
Danny D. Sahtoe	579 1.3×	137 0.6×	66 1.1×	15 0.3×	42 0.7×	11	662
Raymond J. Peroutka	484 1.1×	73 0.3×	47 0.8×	43 0.7×	68 1.1×	12	627
Hansjoerg Moest	417 0.9×	94 0.4×	31 0.5×	21 0.3×	95 1.6×	8	622
Dejan Caglič	245 0.5×	132 0.5×	34 0.5×	30 0.5×	214 3.6×	16	536

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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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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