Y. Maeda

875 total citations · 1 hit paper
4 papers, 646 citations indexed

About

Y. Maeda is a scholar working on Molecular Biology, Genetics and Pharmaceutical Science. According to data from OpenAlex, Y. Maeda has authored 4 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pharmaceutical Science. Recurrent topics in Y. Maeda's work include DNA and Nucleic Acid Chemistry (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Genetic diversity and population structure (1 paper). Y. Maeda is often cited by papers focused on DNA and Nucleic Acid Chemistry (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Genetic diversity and population structure (1 paper). Y. Maeda collaborates with scholars based in Japan. Y. Maeda's co-authors include Takashi Satoh, Tsukasa Fukunaga, Wataru Iwasaki, Mutsumi Nishida, Kazuo Mabuchi, Masaki Miya, Tetsuya Sado, Keisuke Yamada, Hirohiko Takeshima and Eiichi Ohtsubo and has published in prestigious journals such as Molecular Biology and Evolution, Biopolymers and Thermochimica Acta.

In The Last Decade

Y. Maeda

4 papers receiving 641 citations

Hit Papers

MitoFish and MitoAnnotator: A Mitochondrial Genome Databa... 2013 2026 2017 2021 2013 200 400 600

Peers

Y. Maeda
Y. Maeda
Citations per year, relative to Y. Maeda Y. Maeda (= 1×) peers Yea‐Sha Chang

Countries citing papers authored by Y. Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Y. Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Maeda

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

All Works

4 of 4 papers shown
1.
Iwasaki, Wataru, Tsukasa Fukunaga, Keisuke Yamada, et al.. (2013). MitoFish and MitoAnnotator: A Mitochondrial Genome Database of Fish with an Accurate and Automatic Annotation Pipeline. Molecular Biology and Evolution. 30(11). 2531–2540. 626 indexed citations breakdown →
2.
Arakawa, Yukio, et al.. (1989). Change in solubility of insulin in therapeutic mixtures of insulin preparations: HPLC analysis. Diabetes Research and Clinical Practice. 7. S93–S100. 4 indexed citations
3.
Maeda, Y., et al.. (1988). Helix–Coil transition of plasmid dna by adiabatic differential scanning microcalorimetry. Biopolymers. 27(12). 1917–1925. 7 indexed citations
4.
Maeda, Y., Y. Kawai, Tsunehisa Fujita, & Eiichi Ohtsubo. (1985). Differential scanning calorimetry of various mutant DNAs of plasmid. Thermochimica Acta. 88(1). 235–240. 9 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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