Tie Koide

38 papers and 787 indexed citations i.

About

Tie Koide is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tie Koide has authored 38 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Tie Koide’s work include Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (9 papers) and Bacterial Genetics and Biotechnology (8 papers). Tie Koide is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (9 papers) and Bacterial Genetics and Biotechnology (8 papers). Tie Koide collaborates with scholars based in Brazil, United States and Norway. Tie Koide's co-authors include Ricardo Z. N. Vêncio, Suely Lopes Gomes, Nitin S. Baliga, David J. Reiss, Marilis V. Marques, Wyming Lee Pang, Min Pan, Amy K. Schmid, José F. da Silva Neto and Fuminori Tokunaga and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Co-authorship network of co-authors of Tie Koide i

Fields of papers citing papers by Tie Koide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Koide

Since Specialization
Citations

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