Rie Hayashi

36 total papers · 499 total citations
21 papers, 375 citations indexed

About

Rie Hayashi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Rie Hayashi has authored 21 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Rie Hayashi's work include Cancer Genomics and Diagnostics (5 papers), Lipid Membrane Structure and Behavior (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). Rie Hayashi is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Lipid Membrane Structure and Behavior (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). Rie Hayashi collaborates with scholars based in Japan, United States and India. Rie Hayashi's co-authors include Toshihiko Eki, Fumio Kamiyama, Kosuke Kusamori, Toshiyasu Sakane, Ying-Shu Quan, Hidemasa Katsumi, Yusuke Nakamura, Ting Chan, Siew‐Kee Low and Yoon Ming Chin and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Journal of Bone and Mineral Research.

In The Last Decade

Rie Hayashi

20 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Rie Hayashi 94 86 76 66 47 21 375
Fangyuan Jiang 16 0.2× 79 0.9× 52 0.7× 54 0.8× 3 0.1× 28 419
A Fiorito 23 0.2× 17 0.2× 41 0.5× 17 0.3× 82 1.7× 19 393
Yilin Feng 20 0.2× 90 1.0× 33 0.4× 39 0.6× 5 0.1× 43 405
A Morelló 137 1.5× 88 1.0× 6 0.1× 16 0.2× 25 0.5× 19 398
Sundeep Chandra 10 0.1× 75 0.9× 44 0.6× 25 0.4× 8 0.2× 24 335
Maria do Céu Monteiro 63 0.7× 118 1.4× 16 0.2× 19 0.3× 4 0.1× 27 356
Győző A. Jánoki 13 0.1× 44 0.5× 21 0.3× 74 1.1× 13 0.3× 18 345
Ulrike P. Kappes 7 0.1× 112 1.3× 52 0.7× 45 0.7× 185 3.9× 14 382
Wenkai Zhang 19 0.2× 96 1.1× 23 0.3× 21 0.3× 5 0.1× 27 404
Saisindhu Narala 16 0.2× 55 0.6× 10 0.1× 29 0.4× 250 5.3× 16 369

Countries citing papers authored by Rie Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Rie Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Hayashi

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