Chitose Oneyama

77 total papers · 2.6k total citations
61 papers, 2.1k citations indexed

About

Chitose Oneyama is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Chitose Oneyama has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 16 papers in Cancer Research and 12 papers in Cell Biology. Recurrent topics in Chitose Oneyama's work include MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (12 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Chitose Oneyama is often cited by papers focused on MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (12 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Chitose Oneyama collaborates with scholars based in Japan, United States and Switzerland. Chitose Oneyama's co-authors include Masato Okada, Tomoya Hikita, Shigeyuki Nada, Daisuke Okuzaki, Hirofumi Nakano, Eiichi Morii, Kazunobu Saito, Sreenath V. Sharma, Yusuke Takahashi and Kei Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chitose Oneyama

61 papers receiving 2.1k 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 Oneyama 1.6k 491 377 327 225 61 2.1k
David R. Croucher 1.3k 0.8× 483 1.0× 336 0.9× 506 1.5× 230 1.0× 47 2.1k
Mark Duquette 1.4k 0.9× 495 1.0× 345 0.9× 356 1.1× 269 1.2× 37 2.0k
Martin Hagedorn 1.5k 0.9× 464 0.9× 248 0.7× 441 1.3× 224 1.0× 42 2.2k
Kathrin H. Kirsch 1.5k 1.0× 356 0.7× 326 0.9× 364 1.1× 409 1.8× 44 2.2k
Juha Rantala 1.3k 0.8× 453 0.9× 362 1.0× 438 1.3× 125 0.6× 45 1.8k
Stéphane Dedieu 1.1k 0.7× 573 1.2× 457 1.2× 337 1.0× 453 2.0× 62 2.1k
Silke Kuphal 1.9k 1.2× 579 1.2× 453 1.2× 605 1.9× 305 1.4× 58 2.5k
Judy Wai Ping Yam 1.8k 1.1× 762 1.6× 438 1.2× 471 1.4× 289 1.3× 94 2.4k
Yohko Nakamura 1.7k 1.1× 700 1.4× 328 0.9× 537 1.6× 235 1.0× 86 2.4k
Yasuhito Onodera 1.3k 0.8× 446 0.9× 583 1.5× 541 1.7× 237 1.1× 46 2.1k

Countries citing papers authored by Chitose Oneyama

Since Specialization
Citations

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

Fields of papers citing papers by Chitose Oneyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitose Oneyama

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