Makiko Suwa

58 papers and 1.7k indexed citations i.

About

Makiko Suwa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Makiko Suwa has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Spectroscopy. Recurrent topics in Makiko Suwa’s work include RNA and protein synthesis mechanisms (30 papers), Machine Learning in Bioinformatics (30 papers) and Genomics and Phylogenetic Studies (12 papers). Makiko Suwa is often cited by papers focused on RNA and protein synthesis mechanisms (30 papers), Machine Learning in Bioinformatics (30 papers) and Genomics and Phylogenetic Studies (12 papers). Makiko Suwa collaborates with scholars based in Japan, India and United Kingdom. Makiko Suwa's co-authors include M. Michael Gromiha, Kazushige Touhara, Sayako Katada, Yuki Oka, Takatsugu Hirokawa, Yukiteru Ono, Shandar Ahmad, Tatsuro Nakagawa, Ryohei Yamaoka and Masayo Omura and has published in prestigious journals such as Nucleic Acids Research, Neuron and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Makiko Suwa i

Fields of papers citing papers by Makiko Suwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makiko Suwa

Since Specialization
Citations

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

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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2025