Hidetoshi Urakawa

6.7k total citations · 1 hit paper
77 papers, 4.0k citations indexed

About

Hidetoshi Urakawa is a scholar working on Ecology, Molecular Biology and Pollution. According to data from OpenAlex, Hidetoshi Urakawa has authored 77 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 29 papers in Molecular Biology and 27 papers in Pollution. Recurrent topics in Hidetoshi Urakawa's work include Microbial Community Ecology and Physiology (47 papers), Wastewater Treatment and Nitrogen Removal (23 papers) and Marine and coastal ecosystems (23 papers). Hidetoshi Urakawa is often cited by papers focused on Microbial Community Ecology and Physiology (47 papers), Wastewater Treatment and Nitrogen Removal (23 papers) and Marine and coastal ecosystems (23 papers). Hidetoshi Urakawa collaborates with scholars based in United States, Japan and Germany. Hidetoshi Urakawa's co-authors include David A. Stahl, Willm Martens‐Habbena, José R. de la Torre, Paul M. Berube, Kouichi Ohwada, Kumiko Kita-Tsukamoto, Anitra E. Ingalls, Allan H. Devol, John J. Kelly and Wei Qin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Hidetoshi Urakawa

73 papers receiving 3.9k citations

Hit Papers

Ammonia oxidation kinetic... 2009 2026 2014 2020 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetoshi Urakawa United States 29 2.7k 1.6k 1.3k 806 785 77 4.0k
Willm Martens‐Habbena United States 24 2.6k 1.0× 1.6k 1.0× 1.1k 0.8× 908 1.1× 886 1.1× 46 3.9k
Anne E. Bernhard United States 20 3.0k 1.1× 1.7k 1.1× 1.3k 1.0× 775 1.0× 929 1.2× 35 4.8k
Manabu Fukui Japan 35 2.3k 0.9× 1.1k 0.7× 1.4k 1.0× 420 0.5× 1.4k 1.8× 172 4.2k
Michael Pester Germany 29 2.4k 0.9× 1.1k 0.7× 1.3k 1.0× 311 0.4× 1.3k 1.6× 50 4.0k
Marja Tiirola Finland 38 2.2k 0.8× 836 0.5× 955 0.7× 445 0.6× 746 1.0× 115 4.1k
Paul M. Berube United States 19 2.3k 0.9× 994 0.6× 1.2k 0.9× 901 1.1× 485 0.6× 26 3.0k
Dagmar Woebken Austria 35 3.5k 1.3× 2.2k 1.4× 1.5k 1.1× 1.3k 1.7× 968 1.2× 59 6.6k
Hannah K. Marchant Germany 27 2.3k 0.8× 1.8k 1.2× 608 0.5× 963 1.2× 909 1.2× 45 4.8k
Roland Hatzenpichler United States 21 2.3k 0.8× 1.2k 0.7× 1.5k 1.2× 243 0.3× 817 1.0× 37 3.6k
Jan Sørensen Denmark 38 1.4k 0.5× 1.7k 1.1× 776 0.6× 948 1.2× 1.3k 1.7× 87 5.6k

Countries citing papers authored by Hidetoshi Urakawa

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Urakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Urakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Urakawa. A scholar is included among the top collaborators of Hidetoshi Urakawa 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 Hidetoshi Urakawa. Hidetoshi Urakawa 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.
Parsons, M. L., et al.. (2025). Oiling effects on oxygen and hydrogen sulfide depth profiles and sulfate-reducing bacterial communities in coastal marine sediments. Regional Studies in Marine Science. 89. 104378–104378.
2.
3.
Urakawa, Hidetoshi, et al.. (2025). Acute Impacts of Hurricane Ian on Benthic Habitats, Water Quality, and Microbial Community Composition on the Southwest Florida Shelf. SHILAP Revista de lepidopterología. 5(2). 16–16.
4.
Urakawa, Hidetoshi, et al.. (2024). Microbial assessment of the ecological linkage between a red tide of Karenia brevis and bottom water anoxia off the coast of Fort Myers and Sanibel Island, Florida. Regional Studies in Marine Science. 78. 103765–103765. 1 indexed citations
5.
Urakawa, Hidetoshi, et al.. (2024). The synchronicity of bloom-forming cyanobacteria transcription patterns and hydrogen peroxide dynamics. Environmental Pollution. 348. 123812–123812. 1 indexed citations
6.
Urakawa, Hidetoshi, et al.. (2024). Bacterial community shifts induced by high concentration hydrogen peroxide treatment of Microcystis bloom in a mesocosm study. Harmful Algae. 133. 102587–102587. 6 indexed citations
7.
Krausfeldt, Lauren E., Hyo Won Lee, Keith A. Loftin, et al.. (2024). Microbial diversity, genomics, and phage–host interactions of cyanobacterial harmful algal blooms. mSystems. 9(7). e0070923–e0070923. 6 indexed citations
8.
Urakawa, Hidetoshi, et al.. (2024). Synechococcus dominance induced after hydrogen peroxide treatment of Microcystis bloom in the Caloosahatchee River, Florida. Environmental Pollution. 345. 123508–123508. 7 indexed citations
9.
Krausfeldt, Lauren E., Robert P. Smith, Hidetoshi Urakawa, et al.. (2024). Transcriptional profiles of Microcystis reveal gene expression shifts that promote bloom persistence in in situ mesocosms. Microbiology Spectrum. 13(1). e0136924–e0136924.
11.
Urakawa, Hidetoshi, et al.. (2020). Complete Genome Sequence of Microcystis aeruginosa FD4, Isolated from a Subtropical River in Southwest Florida. Microbiology Resource Announcements. 9(38). 6 indexed citations
12.
Poulakis, Gregg R., et al.. (2019). High-resolution molecular identification of smalltooth sawfish prey. Scientific Reports. 9(1). 18307–18307. 5 indexed citations
13.
Everham, Edwin M., et al.. (2018). Terrestrial Snake Environmental DNA Accumulation and Degradation Dynamics and its Environmental Application. Herpetologica. 74(1). 38–49. 41 indexed citations
14.
Urakawa, Hidetoshi, et al.. (2013). Shifts of Bacterioplankton Metabolic Profiles along the Salinity Gradient in a Subtropical Estuary. 2013. 1–12. 11 indexed citations
15.
Martens‐Habbena, Willm, Paul M. Berube, Hidetoshi Urakawa, José R. de la Torre, & David A. Stahl. (2009). Ammonia oxidation kinetics determine niche separation of nitrifying Archaea and Bacteria. Nature. 461(7266). 976–979. 1341 indexed citations breakdown →
16.
Tang, Jing, et al.. (2007). T-BAPS: A Bayesian Statistical Tool for Comparison of Microbial Communities Using Terminal-restriction Fragment Length Polymorphism (T-RFLP) Data. Statistical Applications in Genetics and Molecular Biology. 6(1). Article30–Article30. 8 indexed citations
17.
Urakawa, Hidetoshi, Saı̈d El Fantroussi, Hauke Smidt, et al.. (2003). Optimization of Single-Base-Pair Mismatch Discrimination in Oligonucleotide Microarrays. Applied and Environmental Microbiology. 69(5). 2848–2856. 117 indexed citations
19.
Urakawa, Hidetoshi. (1998). A proposal to transfer Vibrio marinus (Russell 1891) to a new genus Moritella gen. nov. as Moritella marina comb. nov.. FEMS Microbiology Letters. 165(2). 373–378. 8 indexed citations
20.
Urakawa, Hidetoshi, et al.. (1998). A proposal to transferVibrio marinus(Russell 1891) to a new genusMoritellagen. nov. asMoritella marinacomb. nov.. FEMS Microbiology Letters. 165(2). 373–378. 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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