Tie Koide

1.2k total citations
38 papers, 825 citations indexed

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 825 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, Marilis V. Marques, David J. Reiss, Wyming Lee Pang, Min Pan, Amy 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

Tie Koide

36 papers receiving 816 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tie Koide Brazil 17 555 179 168 113 51 38 825
Yi‐Sheng Cheng Taiwan 22 782 1.4× 267 1.5× 144 0.9× 80 0.7× 65 1.3× 46 1.2k
Albert Kriegner Austria 16 392 0.7× 254 1.4× 136 0.8× 59 0.5× 58 1.1× 33 828
Jeffrey M. Yunes United States 3 572 1.0× 216 1.2× 109 0.6× 61 0.5× 30 0.6× 3 923
Helena Čelešnik United States 11 977 1.8× 617 3.4× 406 2.4× 230 2.0× 17 0.3× 17 1.4k
Chandan Shee India 11 600 1.1× 88 0.5× 388 2.3× 66 0.6× 13 0.3× 17 767
M. Kamińska Poland 17 653 1.2× 357 2.0× 40 0.2× 17 0.2× 32 0.6× 92 1.0k
Ram Podicheti United States 20 884 1.6× 638 3.6× 102 0.6× 103 0.9× 40 0.8× 43 1.4k
Eiko Seki Japan 18 1.0k 1.9× 592 3.3× 112 0.7× 55 0.5× 14 0.3× 29 1.3k
Benjamin C. Orsburn United States 15 537 1.0× 85 0.5× 105 0.6× 72 0.6× 26 0.5× 47 813

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).

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.

Co-authorship network of co-authors of Tie Koide

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

All Works

20 of 20 papers shown
1.
Balan, Andrea, et al.. (2024). Mapping the IscR regulon sheds light on the regulation of iron homeostasis in Caulobacter. Frontiers in Microbiology. 15. 1463854–1463854.
2.
Koide, Tie, et al.. (2024). A quorum-sensing regulatory cascade for siderophore-mediated iron homeostasis in Chromobacterium violaceum. mSystems. 9(4). e0139723–e0139723. 7 indexed citations
3.
Schrader, Jared M., et al.. (2023). The DEAD-box RNA helicase RhlB is required for efficient RNA processing at low temperature in Caulobacter. Microbiology Spectrum. 11(6). e0193423–e0193423. 3 indexed citations
4.
Kusebauch, Ulrike, Lívia S. Zaramela, João Paulo P. de Almeida, et al.. (2023). A Genome-Scale Atlas Reveals Complex Interplay of Transcription and Translation in an Archaeon. mSystems. 8(2). e0081622–e0081622. 5 indexed citations
5.
Lourenço, Rogério F., Ethel Bayer‐Santos, Regina L. Baldini, et al.. (2022). The AraC‐type transcription factor TagK is a new player in the signaling cascade that induces the anti‐eukaryotic T6SS of Xanthomonas citri. Molecular Microbiology. 118(5). 552–569. 1 indexed citations
6.
Rocha, Diego Ismael, Regina L. Baldini, Chuck S. Farah, et al.. (2022). An Extracytoplasmic Function Sigma Factor Required for Full Virulence in Xanthomonas citri pv. citri. Journal of Bacteriology. 204(5). e0062421–e0062421.
7.
Koide, Tie, et al.. (2021). Cold Regulation of Genes Encoding Ion Transport Systems in the Oligotrophic Bacterium Caulobacter crescentus. Microbiology Spectrum. 9(1). e0071021–e0071021. 11 indexed citations
8.
Vêncio, Ricardo Z. N., et al.. (2021). Halobacterium salinarum and Haloferax volcanii Comparative Transcriptomics Reveals Conserved Transcriptional Processing Sites. Genes. 12(7). 1018–1018. 5 indexed citations
10.
Almeida, João Paulo P. de, et al.. (2019). The Primary Antisense Transcriptome of Halobacterium salinarum NRC-1. Genes. 10(4). 280–280. 8 indexed citations
11.
Galhardo, Rodrigo S., et al.. (2019). OxyR and the hydrogen peroxide stress response in Caulobacter crescentus. Gene. 700. 70–84. 10 indexed citations
12.
ten-Caten, Felipe, et al.. (2018). Internal RNAs overlapping coding sequences can drive the production of alternative proteins in archaea. RNA Biology. 15(8). 1–14. 14 indexed citations
13.
Alegria, Thiago Gerônimo Pires, et al.. (2018). Iron Deficiency Generates Oxidative Stress and Activation of the SOS Response in Caulobacter crescentus. Frontiers in Microbiology. 9. 2014–2014. 29 indexed citations
14.
Zaramela, Lívia S., Ricardo Z. N. Vêncio, Felipe ten-Caten, Nitin S. Baliga, & Tie Koide. (2014). Transcription Start Site Associated RNAs (TSSaRNAs) Are Ubiquitous in All Domains of Life. PLoS ONE. 9(9). e107680–e107680. 9 indexed citations
15.
Teixeira, Felipe R., et al.. (2013). The F-box Protein FBXO25 Promotes the Proteasome-dependent Degradation of ELK-1 Protein. Journal of Biological Chemistry. 288(39). 28152–28162. 15 indexed citations
16.
Bare, J Christopher, Tie Koide, David J. Reiss, Dan Tenenbaum, & Nitin S. Baliga. (2010). Integration and visualization of systems biology data in context of the genome. BMC Bioinformatics. 11(1). 382–382. 26 indexed citations
17.
Neto, José F. da Silva, Tie Koide, Suely Lopes Gomes, & Marilis V. Marques. (2010). Global gene expression under nitrogen starvation in Xylella fastidiosa: contribution of the σ54 regulon. BMC Microbiology. 10(1). 231–231. 13 indexed citations
18.
Facciotti, Marc T., Wyming Lee Pang, Kenia Whitehead, et al.. (2010). Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis. BMC Systems Biology. 4(1). 64–64. 22 indexed citations
19.
Neto, José F. da Silva, Tie Koide, Cecília M. Abe, Suely Lopes Gomes, & Marilis V. Marques. (2007). Role of σ54 in the regulation of genes involved in type I and type IV pili biogenesis in Xylella fastidiosa. Archives of Microbiology. 189(3). 249–261. 19 indexed citations
20.
Vêncio, Ricardo Z. N., Tie Koide, Suely Lopes Gomes, & Carlos Alberto de Bragança Pereira. (2006). BayGO: Bayesian analysis of ontology term enrichment in microarray data. BMC Bioinformatics. 7(1). 86–86. 46 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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