Nobuhisa Furuya

804 total citations
22 papers, 681 citations indexed

About

Nobuhisa Furuya is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nobuhisa Furuya has authored 22 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Ecology. Recurrent topics in Nobuhisa Furuya's work include Bacterial Genetics and Biotechnology (15 papers), Bacteriophages and microbial interactions (12 papers) and Antibiotic Resistance in Bacteria (6 papers). Nobuhisa Furuya is often cited by papers focused on Bacterial Genetics and Biotechnology (15 papers), Bacteriophages and microbial interactions (12 papers) and Antibiotic Resistance in Bacteria (6 papers). Nobuhisa Furuya collaborates with scholars based in Japan, Taiwan and Germany. Nobuhisa Furuya's co-authors include Teruya Komano, Tetsu Yoshida, T Nisioka, Atsuko Gyohda, G. Sampei, Takuji Suzuki, K Mizobuchi, Toshio Ogawa, Toshiaki Isobe and Kazu Haino‐Fukushima and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

Nobuhisa Furuya

22 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuhisa Furuya Japan 17 341 277 266 243 218 22 681
V L Waters United States 10 376 1.1× 187 0.7× 377 1.4× 196 0.8× 248 1.1× 12 702
Vera Webb Canada 6 400 1.2× 401 1.4× 333 1.3× 342 1.4× 286 1.3× 7 961
Alfonso Soler‐Bistué Argentina 17 350 1.0× 391 1.4× 152 0.6× 235 1.0× 184 0.8× 29 730
Helen Withers New Zealand 10 454 1.3× 91 0.3× 281 1.1× 188 0.8× 139 0.6× 17 719
Aneta Karczmarek Netherlands 7 234 0.7× 114 0.4× 187 0.7× 98 0.4× 111 0.5× 7 500
Erwan Gueguen France 14 257 0.8× 134 0.5× 182 0.7× 250 1.0× 90 0.4× 26 580
W. Voigt Germany 13 159 0.5× 174 0.6× 133 0.5× 254 1.0× 134 0.6× 25 670
Evelyne Coursange France 7 334 1.0× 62 0.2× 261 1.0× 209 0.9× 128 0.6× 8 582
Karen Larbig Germany 8 463 1.4× 274 1.0× 186 0.7× 108 0.4× 159 0.7× 8 605
João Alves Gama Portugal 13 173 0.5× 238 0.9× 152 0.6× 106 0.4× 151 0.7× 18 448

Countries citing papers authored by Nobuhisa Furuya

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhisa Furuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhisa Furuya

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhisa Furuya. A scholar is included among the top collaborators of Nobuhisa Furuya 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 Nobuhisa Furuya. Nobuhisa Furuya 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
2.
Iwamoto, Akira, Atsushi Osawa, Makiko Kawai, et al.. (2012). Mutations in the Essential <i>Escherichia coli </i>Gene, <i>yqgF</i>, and Their Effects on Transcription. Microbial Physiology. 22(1). 17–23. 11 indexed citations
3.
Takahashi, Hiroyuki, et al.. (2011). The genome sequence of the incompatibility group Iγ plasmid R621a: Evolution of IncI plasmids. Plasmid. 66(2). 112–121. 27 indexed citations
4.
Sampei, G., et al.. (2010). Complete genome sequence of the incompatibility group I1 plasmid R64. Plasmid. 64(2). 92–103. 85 indexed citations
5.
Yoshida, Hitoshi, et al.. (2008). Structural Basis of the Role of the NikA Ribbon-Helix-Helix Domain in Initiating Bacterial Conjugation. Journal of Molecular Biology. 384(3). 690–701. 19 indexed citations
6.
Horiuchi, Takayuki, et al.. (2007). Novel Class of Mutations of pilS Mutants, Encoding Plasmid R64 Type IV Prepilin: Interface of PilS-PilV Interactions. Journal of Bacteriology. 190(4). 1202–1208. 8 indexed citations
7.
Gyohda, Atsuko, et al.. (2006). Asymmetry of Shufflon-specific Recombination Sites in Plasmid R64 Inhibits Recombination between Direct sfx Sequences. Journal of Biological Chemistry. 281(30). 20772–20779. 12 indexed citations
8.
Akahane, Kiso, Daisuke Sakai, Nobuhisa Furuya, & Teruya Komano. (2005). Analysis of the pilU gene for the prepilin peptidase involved in the biogenesis of type IV pili encoded by plasmid R64. Molecular Genetics and Genomics. 273(4). 350–359. 19 indexed citations
9.
Furuya, Nobuhisa & Teruya Komano. (2003). NikAB- or NikB-Dependent Intracellular Recombination between Tandemly RepeatedoriTSequences of Plasmid R64 in Plasmid or Single-Stranded Phage Vectors. Journal of Bacteriology. 185(13). 3871–3877. 20 indexed citations
10.
Gyohda, Atsuko, et al.. (2002). Sequence-specific and Non-specific Binding of the Rci Protein to the Asymmetric Recombination Sites of the R64 Shufflon. Journal of Molecular Biology. 318(4). 975–983. 20 indexed citations
11.
Komano, Teruya, et al.. (2000). The transfer region of IncI1 plasmid R64: similarities between R64 tra and Legionella icm/dot genes. Molecular Microbiology. 35(6). 1348–1359. 118 indexed citations
12.
13.
Akaba, Shuichi, Mitsunori Seo, Naoshi Dohmae, et al.. (1999). Production of Homo- and Hetero-Dimeric Isozymes from Two Aldehyde Oxidase Genes of Arabidopsis thaliana. The Journal of Biochemistry. 126(2). 395–401. 40 indexed citations
14.
Yoshida, Tetsu, Nobuhisa Furuya, Toshiaki Isobe, et al.. (1998). Purification and Characterization of Thin Pili of IncI1 Plasmids ColIb-P9 and R64: Formation of PilV-Specific Cell Aggregates by Type IV Pili. Journal of Bacteriology. 180(11). 2842–2848. 47 indexed citations
15.
Furuya, Nobuhisa, et al.. (1997). Requirement of a Limited Segment of thesogGene for Plasmid R64 Conjugation. Plasmid. 38(1). 1–11. 10 indexed citations
16.
Furuya, Nobuhisa & Teruya Komano. (1997). Mutational analysis of the R64 oriT region: requirement for precise location of the NikA-binding sequence. Journal of Bacteriology. 179(23). 7291–7297. 16 indexed citations
17.
Furuya, Nobuhisa & Teruya Komano. (1995). Specific binding of the NikA protein to one arm of 17-base-pair inverted repeat sequences within the oriT region of plasmid R64. Journal of Bacteriology. 177(1). 46–51. 30 indexed citations
18.
Furuya, Nobuhisa & Teruya Komano. (1994). Surface Exclusion Gene of IncI1 Plasmid R64: Nucleotide Sequence and Analysis of Deletion Mutants. Plasmid. 32(1). 80–84. 21 indexed citations
19.
Furuya, Nobuhisa, T Nisioka, & Teruya Komano. (1991). Nucleotide sequence and functions of the oriT operon in IncI1 plasmid R64. Journal of Bacteriology. 173(7). 2231–2237. 42 indexed citations
20.
Furuya, Nobuhisa & Teruya Komano. (1991). Determination of the nick site at oriT of IncI1 plasmid R64: global similarity of oriT structures of IncI1 and IncP plasmids. Journal of Bacteriology. 173(20). 6612–6617. 28 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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