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 13
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 4
- Genetics 10
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Ricardo Z. N. Vêncio (13 shared papers)Suely Lopes Gomes (10 shared papers)Nitin S. Baliga (9 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)RNA Biology (2 papers)BMC Bioinformatics (2 papers)Genes (2 papers)Molecular Systems Biology (2 papers)
- Partner nations
- BrazilUnited StatesNorway
In The Last Decade
Tie Koide
36 papers receiving 816 citations
Peers
Comparison fields: 5 of 83
- Horticulture 43
- Molecular Biology 555
- Genetics 168
- Plant Science 179
- Ecology 113
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 | 101 | |
| 2 | 2004 | 61 | |
| 3 | 1994 | 50 | |
| 4 | 2009 | 47 | |
| 5 | 2006 | 46 | |
| 6 | 2009 | 44 | |
| 7 | 2016 | 40 | |
| 8 | 2005 | 39 | |
| 9 | 2008 | 38 | |
| 10 | 2006 | 33 | |
| 11 | 2018 | 29 | |
| 12 | 2010 | 26 | |
| 13 | 2006 | 24 | |
| 14 | 2010 | 22 | |
| 15 | 2002 | 20 | |
| 16 | 2007 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 1996 | 16 | |
| 19 | 2013 | 15 | |
| 20 | 2018 | 14 |
About Tie Koide
Tie Koide is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Horticulture, having authored 38 papers that have together received 825 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 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), Bioinformatics and Genomic Networks (5 papers), Bacteriophages and microbial interactions (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Horticulture (43 citations), Molecular Biology (555 citations), Genetics (168 citations), Plant Science (179 citations) and Ecology (113 citations). Tie Koide has collaborated with scholars based in Brazil, United States and Norway. Frequent co-authors include Ricardo Z. N. Vêncio, Suely Lopes Gomes, Nitin S. Baliga, Marilis V. Marques, David J. Reiss, Wyming Lee Pang, Min Pan, Amy Schmid, José F. da Silva Neto and Fuminori Tokunaga. Their work appears in journals such as Journal of Bacteriology, RNA Biology, BMC Bioinformatics, Genes and Molecular Systems Biology.
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.