Yoshio Nakatani

1.4k total citations
49 papers, 869 citations indexed

About

Yoshio Nakatani is a scholar working on Molecular Biology, Automotive Engineering and Social Psychology. According to data from OpenAlex, Yoshio Nakatani has authored 49 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Automotive Engineering and 5 papers in Social Psychology. Recurrent topics in Yoshio Nakatani's work include Spatial Cognition and Navigation (5 papers), Enzyme Structure and Function (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Yoshio Nakatani is often cited by papers focused on Spatial Cognition and Navigation (5 papers), Enzyme Structure and Function (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Yoshio Nakatani collaborates with scholars based in New Zealand, Japan and Australia. Yoshio Nakatani's co-authors include Catherine L. Day, Rhesa Budhidarmo, Gregory M. Cook, Adam Heikal, Elyse Dunn, J.F. Cutfield, Weiwen Dai, James M. Murphy, Isabelle S. Lucet and Peter D. Mace and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Yoshio Nakatani

43 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshio Nakatani New Zealand 15 576 124 112 86 85 49 869
Xiuyun Tian China 15 455 0.8× 122 1.0× 178 1.6× 93 1.1× 35 0.4× 37 827
Orly Ardon United States 24 703 1.2× 213 1.7× 134 1.2× 152 1.8× 151 1.8× 40 1.7k
Kaiwen Yu China 19 690 1.2× 68 0.5× 158 1.4× 73 0.8× 148 1.7× 41 1.2k
Huifang Hao China 20 446 0.8× 70 0.6× 68 0.6× 121 1.4× 139 1.6× 69 902
Guy Nimrod Israel 9 804 1.4× 83 0.7× 58 0.5× 54 0.6× 71 0.8× 13 1.0k
H.M. Pereira Brazil 21 948 1.6× 80 0.6× 122 1.1× 87 1.0× 36 0.4× 81 1.3k
Jin‐Yuan Ho Taiwan 13 230 0.4× 71 0.6× 104 0.9× 156 1.8× 101 1.2× 18 598
Janice Au-Young United States 13 599 1.0× 100 0.8× 79 0.7× 42 0.5× 80 0.9× 26 854
G. Renuka Kumar United States 16 394 0.7× 165 1.3× 146 1.3× 90 1.0× 67 0.8× 22 771

Countries citing papers authored by Yoshio Nakatani

Since Specialization
Citations

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

Fields of papers citing papers by Yoshio Nakatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshio Nakatani

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshio Nakatani. A scholar is included among the top collaborators of Yoshio Nakatani 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 Yoshio Nakatani. Yoshio Nakatani 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.
Izumi, Tomoko, et al.. (2019). Evaluation of a Vibration-based Route Indication for Children Who are Not Familiar with Maps. 40–44. 2 indexed citations
2.
Sharif, Saeed Pahlevan, Norihito Ueda, Yoshio Nakatani, et al.. (2019). Chemokine-Binding Proteins Encoded by Parapoxvirus of Red Deer of New Zealand Display Evidence of Gene Duplication and Divergence of Ligand Specificity. Frontiers in Microbiology. 10. 1421–1421. 6 indexed citations
3.
Izumi, Tomoko, et al.. (2019). Validated Animated Pictograms for the Advanced Design of a Disaster Assistance Application. IEEJ Transactions on Electronics Information and Systems. 139(2). 170–179.
4.
Jiao, Wanting, Hannah R. Bridges, Emily J. Parker, et al.. (2018). Structure of the NDH-2 – HQNO inhibited complex provides molecular insight into quinone-binding site inhibitors. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1859(7). 482–490. 31 indexed citations
5.
Kawagishi, Yui, Michaël W. Pankhurst, Yoshio Nakatani, & Ian S. McLennan. (2017). Anti‐Müllerian hormone signaling is influenced by Follistatin 288, but not 14 other transforming growth factor beta superfamily regulators. Molecular Reproduction and Development. 84(7). 626–637. 8 indexed citations
6.
Izumi, Tomoko, et al.. (2017). Zone-Based Energy Aware Data Collection Protocol for WSNs. IEICE Transactions on Communications. E101.B(3). 750–762. 5 indexed citations
7.
Cook, Gregory M., Kiel Hards, Elyse Dunn, et al.. (2017). Oxidative Phosphorylation as a Target Space for Tuberculosis: Success, Caution, and Future Directions. Microbiology Spectrum. 5(3). 93 indexed citations
8.
Wilkinson, Max E., Yoshio Nakatani, Raymond H.J. Staals, et al.. (2016). Structural plasticity and in vivo activity of Cas1 from the type I-F CRISPR–Cas system. Biochemical Journal. 473(8). 1063–1072. 9 indexed citations
9.
Couñago, Rafael M., Karen Knapp, Yoshio Nakatani, et al.. (2015). Structures of Orf Virus Chemokine Binding Protein in Complex with Host Chemokines Reveal Clues to Broad Binding Specificity. Structure. 23(7). 1199–1213. 22 indexed citations
10.
Murphy, James M., et al.. (2015). Molecular Mechanism of CCAAT-Enhancer Binding Protein Recruitment by the TRIB1 Pseudokinase. Structure. 23(11). 2111–2121. 79 indexed citations
11.
Spencer, Emma, Edward J. Dale, Yoshio Nakatani, et al.. (2015). Multiple binding modes of isothiocyanates that inhibit macrophage migration inhibitory factor. European Journal of Medicinal Chemistry. 93. 501–510. 27 indexed citations
12.
Davis-Marcisak, Emily F., et al.. (2014). The structure of alanine racemase fromAcinetobacter baumannii. Acta Crystallographica Section F Structural Biology Communications. 70(9). 1199–1205. 6 indexed citations
13.
Heikal, Adam, Yoshio Nakatani, Elyse Dunn, et al.. (2014). Structure of the bacterial type II NADH dehydrogenase: a monotopic membrane protein with an essential role in energy generation. Molecular Microbiology. 91(5). 950–964. 109 indexed citations
14.
Izumi, Tomoko, et al.. (2013). An Opportunistic Tourism Navigation System Using Photographing Point Recommendation. 23. 318–323. 3 indexed citations
15.
16.
Nakatani, Yoshio, Susan M. Cutfield, Nathan Cowieson, & J.F. Cutfield. (2011). Structure and activity of exo‐1,3/1,4‐β‐glucanase from marine bacterium Pseudoalteromonas sp. BB1 showing a novel C‐terminal domain. FEBS Journal. 279(3). 464–478. 28 indexed citations
17.
Budhidarmo, Rhesa, Yoshio Nakatani, & Catherine L. Day. (2011). RINGs hold the key to ubiquitin transfer. Trends in Biochemical Sciences. 37(2). 58–65. 148 indexed citations
18.
Nakatani, Yoshio, Iain L. Lamont, & J.F. Cutfield. (2010). Discovery and Characterization of a Distinctive Exo-1,3/1,4-β-Glucanase from the Marine Bacterium Pseudoalteromonas sp. Strain BB1. Applied and Environmental Microbiology. 76(20). 6760–6768. 18 indexed citations
19.
Nakatani, Yoshio & Takamitsu Fukuda. (2002). Computer supported collaborative learning environment for abstract knowledge. 2. 1050–1055. 1 indexed citations
20.
Nakagawa, Takashi, et al.. (1999). Simulation-Based Human Interface Evaluation for Maintenance Facilities. International Conference on Human-Computer Interaction. 948–952. 2 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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