Mariko Hatakeyama

57 total papers · 2.1k total citations
42 papers, 1.3k citations indexed

About

Mariko Hatakeyama is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mariko Hatakeyama has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Genetics. Recurrent topics in Mariko Hatakeyama's work include Gene Regulatory Network Analysis (13 papers), HER2/EGFR in Cancer Research (12 papers) and Bioinformatics and Genomic Networks (9 papers). Mariko Hatakeyama is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), HER2/EGFR in Cancer Research (12 papers) and Bioinformatics and Genomic Networks (9 papers). Mariko Hatakeyama collaborates with scholars based in Japan, United States and Italy. Mariko Hatakeyama's co-authors include Shuhei Kimura, Noriko Yumoto, Akihiko Konagaya, Shigeyuki Yokoyama, Kaori Ide, Boris Ν. Kholodenko, Jan B. Hoek, Babatunde A. Ogunnaike, Marc R. Birtwistle and Mikako Shirouzu and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Mariko Hatakeyama

42 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Mariko Hatakeyama 1.0k 231 139 135 121 42 1.3k
Michael Lappé 1.3k 1.3× 161 0.7× 114 0.8× 67 0.5× 252 2.1× 34 1.6k
James S. Duncan 1.1k 1.1× 382 1.7× 56 0.4× 131 1.0× 66 0.5× 52 1.7k
Monika Ray 1.3k 1.3× 183 0.8× 192 1.4× 91 0.7× 64 0.5× 21 1.8k
Ilya Mazo 1.1k 1.1× 235 1.0× 259 1.9× 35 0.3× 124 1.0× 36 1.7k
Yukiko Matsuoka 878 0.9× 311 1.3× 81 0.6× 95 0.7× 188 1.6× 33 1.6k
Konstantinos Sidiropoulos 638 0.6× 134 0.6× 92 0.7× 74 0.5× 73 0.6× 23 1.2k
José A. Seoane 825 0.8× 387 1.7× 114 0.8× 81 0.6× 98 0.8× 55 1.6k
Charles Vaske 1.1k 1.1× 315 1.4× 129 0.9× 73 0.5× 91 0.8× 39 1.6k
Chris Soon Heng Tan 1.4k 1.4× 160 0.7× 79 0.6× 48 0.4× 202 1.7× 55 1.8k
Max Kotlyar 1.1k 1.1× 112 0.5× 111 0.8× 59 0.4× 220 1.8× 47 1.6k

Countries citing papers authored by Mariko Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Hatakeyama

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