Sakiko Shiga

102 total papers · 1.9k total citations
74 papers, 1.2k citations indexed

About

Sakiko Shiga is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Sakiko Shiga has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cellular and Molecular Neuroscience, 38 papers in Endocrine and Autonomic Systems and 26 papers in Genetics. Recurrent topics in Sakiko Shiga's work include Neurobiology and Insect Physiology Research (62 papers), Circadian rhythm and melatonin (38 papers) and Insect and Arachnid Ecology and Behavior (26 papers). Sakiko Shiga is often cited by papers focused on Neurobiology and Insect Physiology Research (62 papers), Circadian rhythm and melatonin (38 papers) and Insect and Arachnid Ecology and Behavior (26 papers). Sakiko Shiga collaborates with scholars based in Japan, United States and Sweden. Sakiko Shiga's co-authors include Hideharu Numata, K. Ranga Rao, Shin G. Goto, Yoshitaka Hamanaka, Kouji Yasuyama, Carl J. Mohrherr, Dick R. N�ssel, K. Matsumoto, Akihiro Morita and Tsuneo Yamaguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and PLoS Biology.

In The Last Decade

Sakiko Shiga

72 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sakiko Shiga 999 642 390 267 237 74 1.2k
R.D. Lewis 431 0.4× 433 0.7× 508 1.3× 297 1.1× 315 1.3× 48 1.4k
Fumika N. Hamada 988 1.0× 421 0.7× 442 1.1× 178 0.7× 230 1.0× 31 1.5k
Kouji Yasuyama 954 1.0× 352 0.5× 369 0.9× 81 0.3× 215 0.9× 31 1.1k
Mirko Pegoraro 487 0.5× 473 0.7× 261 0.7× 219 0.8× 233 1.0× 23 990
Terry L. Page 1.0k 1.0× 924 1.4× 350 0.9× 109 0.4× 255 1.1× 44 1.4k
Hana Sehadová 584 0.6× 533 0.8× 245 0.6× 68 0.3× 89 0.4× 48 918
Maria P. Fernandez 691 0.7× 431 0.7× 273 0.7× 47 0.2× 228 1.0× 28 933
Brian Y. Chung 771 0.8× 691 1.1× 255 0.7× 99 0.4× 128 0.5× 21 1.3k
Alfredo Ghezzi 1.0k 1.0× 251 0.4× 341 0.9× 219 0.8× 208 0.9× 25 1.3k
Susan T Harbison 455 0.5× 181 0.3× 442 1.1× 171 0.6× 186 0.8× 35 1.1k

Countries citing papers authored by Sakiko Shiga

Since Specialization
Citations

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

Fields of papers citing papers by Sakiko Shiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakiko Shiga

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