Tie Koide
Impact in
- Horticulture top 5%
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 9
- Microbial Metabolic Engineering and Bioproduction 3
- Genetics 10
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Suely Lopes Gomes (10 shared papers)Nitin S. Baliga (9 shared papers)Ricardo Z. N. Vêncio (10 shared papers)Marilis V. Marques (10 shared papers)David J. Reiss (5 shared papers)Wyming Lee Pang (3 shared papers)Min Pan (4 shared papers)Amy Schmid (3 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Frontiers in Microbiology (2 papers)Molecular Systems Biology (2 papers)RNA Biology (2 papers)Microbiology Spectrum (2 papers)
- Partner nations
- BrazilUnited StatesJapan
In The Last Decade
Tie Koide
38 papers receiving 856 citations
Peers
Comparison fields: 5 of 89
- Horticulture 37
- Molecular Biology 536
- Genetics 165
- Plant Science 180
- Endocrinology 23
Countries citing papers authored by Tie Koide
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).
Fields of papers citing papers by Tie Koide
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.
Co-authors
The 25 scholars most cited alongside Tie Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 99 | |
| 2 | 2004 | 65 | |
| 3 | 1994 | 53 | |
| 4 | 2009 | 51 | |
| 5 | 2009 | 48 | |
| 6 | 2006 | 46 | |
| 7 | 2016 | 43 | |
| 8 | 2005 | 41 | |
| 9 | 2008 | 37 | |
| 10 | 2006 | 34 | |
| 11 | 2018 | 30 | |
| 12 | 2010 | 28 | |
| 13 | 2006 | 24 | |
| 14 | 2010 | 23 | |
| 15 | 2002 | 21 | |
| 16 | 2015 | 21 | |
| 17 | 2007 | 18 | |
| 18 | 2013 | 16 | |
| 19 | 1996 | 15 | |
| 20 | 2021 | 14 |
About Tie Koide
Tie Koide is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Horticulture, having authored 38 papers that have together received 865 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (8 papers), Phytoplasmas and Hemiptera pathogens (7 papers), Plant Pathogenic Bacteria Studies (6 papers), Bacteriophages and microbial interactions (4 papers), Insect symbiosis and bacterial influences (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Horticulture (37 citations), Molecular Biology (536 citations), Genetics (165 citations), Plant Science (180 citations) and Endocrinology (23 citations). Tie Koide has collaborated with scholars based in Brazil, United States and Japan. Frequent co-authors include Suely Lopes Gomes, Nitin S. Baliga, Ricardo Z. N. Vêncio, Marilis V. Marques, David J. Reiss, Wyming Lee Pang, Min Pan, Amy Schmid, José Freire da Silva Neto and Fuminori Tokunaga. Their work appears in journals such as Journal of Bacteriology, Frontiers in Microbiology, Molecular Systems Biology, RNA Biology and Microbiology Spectrum.
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.