Sayaka Kado

45 total papers · 801 total citations
31 papers, 636 citations indexed

About

Sayaka Kado is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Sayaka Kado has authored 31 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Sayaka Kado's work include Endoplasmic Reticulum Stress and Disease (4 papers), Oral microbiology and periodontitis research (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Sayaka Kado is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Oral microbiology and periodontitis research (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Sayaka Kado collaborates with scholars based in Japan, Russia and United States. Sayaka Kado's co-authors include Fumio Sakane, Mamoru Satoh, Fumio Nomura, Hiromichi Sakai, Satoru Mizuno, Sachio Tsuchida, Takayoshi Arai, Akinobu Taketomi, Hyuma Masu and Yusuke Kawashima and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Sayaka Kado

29 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Sayaka Kado	264	119	108	90	82	31	636
Giuseppe Palazzo	144 0.5×	126 1.1×	56 0.5×	16 0.2×	208 2.5×	57	787
Steven W. Andrews	192 0.7×	68 0.6×	72 0.7×	16 0.2×	98 1.2×	23	723
Ana Paula Dias Demasi	332 1.3×	113 0.9×	51 0.5×	50 0.6×	18 0.2×	40	789
Masashi Kuramoto	206 0.8×	18 0.2×	71 0.7×	26 0.3×	56 0.7×	19	641
Muneyoshi Yamazaki	306 1.2×	73 0.6×	45 0.4×	18 0.2×	39 0.5×	31	774
Susan A. Moak	156 0.6×	85 0.7×	52 0.5×	49 0.5×	20 0.2×	29	676
Jing Tang	310 1.2×	53 0.4×	31 0.3×	29 0.3×	21 0.3×	25	647
Yingying Wang	430 1.6×	15 0.1×	32 0.3×	26 0.3×	18 0.2×	38	680
Guangyu Dong	346 1.3×	72 0.6×	68 0.6×	18 0.2×	50 0.6×	20	637
Liwen Huang	380 1.4×	22 0.2×	19 0.2×	54 0.6×	56 0.7×	28	678

Countries citing papers authored by Sayaka Kado

Since Specialization

Citations

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

Fields of papers citing papers by Sayaka Kado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Kado

This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Kado. A scholar is included among the top collaborators of Sayaka Kado 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 Sayaka Kado. Sayaka Kado 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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