Mika Hirakawa

10.4k total citations · 2 hit papers
13 papers, 7.8k citations indexed

About

Mika Hirakawa is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mika Hirakawa has authored 13 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Mika Hirakawa's work include Chromosomal and Genetic Variations (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA modifications and cancer (2 papers). Mika Hirakawa is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA modifications and cancer (2 papers). Mika Hirakawa collaborates with scholars based in Japan, Germany and France. Mika Hirakawa's co-authors include Minoru Kanehisa, Susumu Goto, Toshiaki Tokimatsu, Shujiro Okuda, Michihiro Araki, Masumi Itoh, Masahiro Hattori, Shuichi Kawashima, Yoshihiro Yamanishi and Tsutomu Katayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Mika Hirakawa

12 papers receiving 7.7k citations

Hit Papers

KEGG for linking genomes to life and the environment 2007 2026 2013 2019 2007 2009 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. KEGG for linking genomes to life and the environment
    2007 5.4k citations Minoru Kanehisa, Michihiro Araki et al. Nucleic Acids Research profile →
  2. KEGG for representation and analysis of molecular networks involving diseases and drugs
    2009 1.8k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mika Hirakawa Japan 9 5.1k 1.7k 956 828 604 13 7.8k
Shuichi Kawashima Japan 24 6.2k 1.2× 1.5k 0.9× 822 0.9× 657 0.8× 624 1.0× 90 9.1k
Masahiro Hattori Japan 28 4.7k 0.9× 1.5k 0.9× 685 0.7× 641 0.8× 527 0.9× 85 8.2k
Michael Smoot United States 9 5.9k 1.2× 2.0k 1.1× 1.1k 1.1× 819 1.0× 500 0.8× 11 9.1k
Toshiaki Tokimatsu Japan 18 4.0k 0.8× 1.8k 1.0× 597 0.6× 603 0.7× 491 0.8× 31 6.6k
Michihiro Araki Japan 20 6.0k 1.2× 1.6k 0.9× 1000 1.0× 613 0.7× 508 0.8× 57 8.4k
Masumi Itoh Japan 10 5.9k 1.2× 2.4k 1.4× 934 1.0× 726 0.9× 740 1.2× 20 9.4k
Ryan Kelley United States 8 7.3k 1.4× 2.4k 1.4× 1.5k 1.5× 1.6k 1.9× 967 1.6× 8 11.1k
Jianmin Wu China 28 4.6k 0.9× 1.5k 0.9× 1.0k 1.1× 1.4k 1.7× 627 1.0× 97 7.9k
Davide Heller Switzerland 5 7.7k 1.5× 1.6k 1.0× 1.2k 1.2× 1.4k 1.7× 1.0k 1.7× 6 12.3k
Yu Xue China 53 7.6k 1.5× 1.3k 0.7× 704 0.7× 782 0.9× 824 1.4× 201 11.1k

Countries citing papers authored by Mika Hirakawa

Since Specialization
Citations

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

Fields of papers citing papers by Mika Hirakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Hirakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Hirakawa. A scholar is included among the top collaborators of Mika Hirakawa 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 Mika Hirakawa. Mika Hirakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hirakawa, Mika, et al.. (2018). Nucleotide receptor P2RY4 is required for head formation via induction and maintenance of head organizer inXenopus laevis. Development Growth & Differentiation. 61(2). 186–197. 4 indexed citations
2.
Nishihara, Hidenori, Naoki Kobayashi, Chiharu Kimura-Yoshida, et al.. (2016). Coordinately Co-opted Multiple Transposable Elements Constitute an Enhancer for wnt5a Expression in the Mammalian Secondary Palate. PLoS Genetics. 12(10). e1006380–e1006380. 43 indexed citations
3.
Kobayashi, Naoki, Asuka Suzuki‐Hirano, Hidenori Nishihara, et al.. (2012). A SINE-Derived Element Constitutes a Unique Modular Enhancer for Mammalian Diencephalic Fgf8. PLoS ONE. 7(8). e43785–e43785. 32 indexed citations
4.
Kotera, Masaaki, Mika Hirakawa, Toshiaki Tokimatsu, Susumu Goto, & Minoru Kanehisa. (2011). The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals. Methods in molecular biology. 802. 19–39. 83 indexed citations
5.
Tashiro, Kensuke, Anne Teissier, Naoki Kobayashi, et al.. (2011). A Mammalian Conserved Element Derived from SINE Displays Enhancer Properties Recapitulating Satb2 Expression in Early-Born Callosal Projection Neurons. PLoS ONE. 6(12). e28497–e28497. 46 indexed citations
6.
Kanehisa, Minoru, Susumu Goto, Miho Furumichi, Mao Tanabe, & Mika Hirakawa. (2009). KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Research. 38(suppl_1). D355–D360. 1792 indexed citations breakdown →
7.
Hirakawa, Mika, Hidenori Nishihara, Minoru Kanehisa, & Norihiro Okada. (2008). Characterization and evolutionary landscape of AmnSINE1 in Amniota genomes. Gene. 441(1-2). 100–110. 19 indexed citations
8.
Sasaki, Takeshi, Hidenori Nishihara, Mika Hirakawa, et al.. (2008). Possible involvement of SINEs in mammalian-specific brain formation. Proceedings of the National Academy of Sciences. 105(11). 4220–4225. 146 indexed citations
9.
Kanehisa, Minoru, Michihiro Araki, Susumu Goto, et al.. (2007). KEGG for linking genomes to life and the environment. Nucleic Acids Research. 36(Database). D480–D484. 5387 indexed citations breakdown →
10.
Hirakawa, Mika. (2002). HOWDY: an integrated database system for human genome research. Nucleic Acids Research. 30(1). 152–157. 7 indexed citations
11.
Hirakawa, Mika. (2002). JSNP: a database of common gene variations in the Japanese population. Nucleic Acids Research. 30(1). 158–162. 218 indexed citations
12.
Hirakawa, Mika. (1998). How life is interpreted into information. Cite JST ALIS(Advanced Life-science Information Systems) as an instance.. Journal of Information Processing and Management. 41(4). 254–264.
13.
Hirakawa, Mika, et al.. (1997). ALIS Sequencing Database for Large Scale Human Genome Project. Proceedings Genome Informatics Workshop/Genome informatics. 8(8). 278–279. 1 indexed citations

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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