Chitose Orikasa

44 total papers · 1.4k total citations
30 papers, 1.1k citations indexed

About

Chitose Orikasa is a scholar working on Social Psychology, Behavioral Neuroscience and Genetics. According to data from OpenAlex, Chitose Orikasa has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Social Psychology, 12 papers in Behavioral Neuroscience and 11 papers in Genetics. Recurrent topics in Chitose Orikasa's work include Neuroendocrine regulation and behavior (15 papers), Stress Responses and Cortisol (12 papers) and Estrogen and related hormone effects (8 papers). Chitose Orikasa is often cited by papers focused on Neuroendocrine regulation and behavior (15 papers), Stress Responses and Cortisol (12 papers) and Estrogen and related hormone effects (8 papers). Chitose Orikasa collaborates with scholars based in Japan, United States and Germany. Chitose Orikasa's co-authors include Yasuo Sakuma, Bruce S. McEwen, Shinji Hayashi, Shinpei Hayashi, Nancy G. Weiland, Osborne F. X. Almeida, Vladimir K. Patchev, Yasuhiko Kondo, Takashi Mitsui and Shogo Matsumoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Chitose Orikasa

30 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Chitose Orikasa 469 373 364 336 260 30 1.1k
Anna Phan 467 1.0× 369 1.0× 371 1.0× 504 1.5× 78 0.3× 24 1.3k
Arthur Coquelin 191 0.4× 232 0.6× 201 0.6× 476 1.4× 510 2.0× 22 1.2k
Gabriela Moralı́ 220 0.5× 234 0.6× 212 0.6× 254 0.8× 285 1.1× 40 1.2k
Thomas G. Sherman 138 0.3× 372 1.0× 251 0.7× 364 1.1× 90 0.3× 30 1.2k
Paloma Collado 159 0.3× 168 0.5× 271 0.7× 350 1.0× 233 0.9× 54 1.0k
John B. Hutchison 403 0.9× 241 0.6× 181 0.5× 328 1.0× 346 1.3× 35 1.4k
Laura R. Hinds 338 0.7× 151 0.4× 473 1.3× 331 1.0× 250 1.0× 25 1.4k
R.E. Hutchison 353 0.8× 89 0.2× 122 0.3× 199 0.6× 272 1.0× 31 1.1k
Ida Gerendai 121 0.3× 318 0.9× 218 0.6× 386 1.1× 506 1.9× 70 1.4k
Anne Duittoz 184 0.4× 190 0.5× 72 0.2× 219 0.7× 363 1.4× 48 1.0k

Countries citing papers authored by Chitose Orikasa

Since Specialization
Citations

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

Fields of papers citing papers by Chitose Orikasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitose Orikasa

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