Nobuto Takeuchi

1.2k total citations
31 papers, 777 citations indexed

About

Nobuto Takeuchi is a scholar working on Genetics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, Nobuto Takeuchi has authored 31 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 18 papers in Astronomy and Astrophysics and 17 papers in Molecular Biology. Recurrent topics in Nobuto Takeuchi's work include Evolution and Genetic Dynamics (23 papers), Origins and Evolution of Life (18 papers) and Evolutionary Game Theory and Cooperation (9 papers). Nobuto Takeuchi is often cited by papers focused on Evolution and Genetic Dynamics (23 papers), Origins and Evolution of Life (18 papers) and Evolutionary Game Theory and Cooperation (9 papers). Nobuto Takeuchi collaborates with scholars based in Japan, New Zealand and Netherlands. Nobuto Takeuchi's co-authors include Paulien Hogeweg, Eugene V. Koonin, Kunihiko Kaneko, Yuri I. Wolf, Kira S. Makarova, Bram van Dijk, Otto X. Cordero, Anthony M. Poole, Haruo Suzuki and Frederic Bertels and has published in prestigious journals such as Nature Communications, PLoS ONE and Genetics.

In The Last Decade

Nobuto Takeuchi

28 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuto Takeuchi Japan 15 484 447 331 174 141 31 777
Guenther Witzany Estonia 14 289 0.6× 155 0.3× 147 0.4× 46 0.3× 109 0.8× 33 557
Simon van Vliet Switzerland 13 327 0.7× 178 0.4× 35 0.1× 118 0.7× 193 1.4× 24 628
Frank Rosenzweig United States 15 866 1.8× 497 1.1× 15 0.0× 186 1.1× 122 0.9× 34 1.3k
Günther Witzany Estonia 10 180 0.4× 89 0.2× 72 0.2× 36 0.2× 72 0.5× 21 384
Holly Baden-Tillson United States 3 731 1.5× 213 0.5× 44 0.1× 7 0.0× 144 1.0× 3 886
Judith A. Mongold United States 9 280 0.6× 527 1.2× 10 0.0× 222 1.3× 176 1.2× 9 735
Raymond A. Zilinskas United States 13 463 1.0× 129 0.3× 10 0.0× 73 0.4× 56 0.4× 49 732
Ryan G. Skophammer United States 7 232 0.5× 124 0.3× 21 0.1× 51 0.3× 147 1.0× 10 508
Sávio Torres de Farías Brazil 16 418 0.9× 117 0.3× 168 0.5× 4 0.0× 80 0.6× 58 600
Michael J. Wiser United States 7 362 0.7× 515 1.2× 10 0.0× 212 1.2× 76 0.5× 18 690

Countries citing papers authored by Nobuto Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Nobuto Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuto Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuto Takeuchi. A scholar is included among the top collaborators of Nobuto Takeuchi 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 Nobuto Takeuchi. Nobuto Takeuchi 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.
Takeuchi, Nobuto, et al.. (2025). Genetic exchange shapes ultra-small Patescibacteria metabolic capacities in the terrestrial subsurface. mSystems. 10(9). e0004625–e0004625.
2.
Takeuchi, Nobuto & Kunihiko Kaneko. (2025). Generalizing the central dogma as a cross-hierarchical principle of biology. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1936). 20240296–20240296. 1 indexed citations
3.
Takeuchi, Nobuto, et al.. (2024). The Constructive Black Queen hypothesis: new functions can evolve under conditions favouring gene loss. The ISME Journal. 18(1). 5 indexed citations
4.
Fu, Yao & Nobuto Takeuchi. (2024). Evolution of the division of labour between templates and catalysts in spatial replicator models. Journal of Evolutionary Biology. 37(10). 1158–1169. 1 indexed citations
5.
Takeuchi, Nobuto, et al.. (2023). Avoidance of error catastrophe via proofreading innate to template-directed polymerization. Physical Review Research. 5(1).
6.
Takeuchi, Nobuto, et al.. (2023). Prophages and plasmids can display opposite trends in the types of accessory genes they carry. Proceedings of the Royal Society B Biological Sciences. 290(2001). 20231088–20231088. 9 indexed citations
7.
Takeuchi, Nobuto, et al.. (2023). In Vitro Evolution to Increase the Titers of Difficult Bacteriophages: RAMP-UP Protocol. PubMed. 4(2). 68–81. 5 indexed citations
8.
Dijk, Bram van, et al.. (2021). Transposable elements promote the evolution of genome streamlining. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1842). 20200477–20200477. 16 indexed citations
9.
Kaneko, Kunihiko, et al.. (2019). Horizontal transfer between loose compartments stabilizes replication of fragmented ribozymes. PLoS Computational Biology. 15(6). e1007094–e1007094. 4 indexed citations
10.
Ueda, M., Nobuto Takeuchi, & Kunihiko Kaneko. (2017). Stronger selection can slow down evolution driven by recombination on a smooth fitness landscape. PLoS ONE. 12(8). e0183120–e0183120. 9 indexed citations
11.
Takeuchi, Nobuto, Otto X. Cordero, Eugene V. Koonin, & Kunihiko Kaneko. (2015). Gene-specific selective sweeps in bacteria and archaea caused by negative frequency-dependent selection. BMC Biology. 13(1). 20–20. 31 indexed citations
12.
Takeuchi, Nobuto, Kunihiko Kaneko, & Eugene V. Koonin. (2013). Horizontal Gene Transfer Can Rescue Prokaryotes from Muller’s Ratchet: Benefit of DNA from Dead Cells and Population Subdivision. G3 Genes Genomes Genetics. 4(2). 325–339. 87 indexed citations
13.
Takeuchi, Nobuto & Paulien Hogeweg. (2012). Evolutionary dynamics of RNA-like replicator systems: A bioinformatic approach to the origin of life. Physics of Life Reviews. 9(3). 219–263. 82 indexed citations
14.
Takeuchi, Nobuto, Paulien Hogeweg, & Eugene V. Koonin. (2011). On the Origin of DNA Genomes: Evolution of the Division of Labor between Template and Catalyst in Model Replicator Systems. PLoS Computational Biology. 7(3). e1002024–e1002024. 50 indexed citations
15.
Takeuchi, Nobuto, Yuri I. Wolf, Kira S. Makarova, & Eugene V. Koonin. (2011). Nature and Intensity of Selection Pressure on CRISPR-Associated Genes. Journal of Bacteriology. 194(5). 1216–1225. 74 indexed citations
16.
Takeuchi, Nobuto & Paulien Hogeweg. (2009). Multilevel Selection in Models of Prebiotic Evolution II: A Direct Comparison of Compartmentalization and Spatial Self-Organization. PLoS Computational Biology. 5(10). e1000542–e1000542. 75 indexed citations
17.
18.
Takeuchi, Nobuto & Paulien Hogeweg. (2008). Evolution of complexity in RNA-like replicator systems. Biology Direct. 3(1). 11–11. 47 indexed citations
19.
Takeuchi, Nobuto & Paulien Hogeweg. (2007). The Role of Complex Formation and Deleterious Mutations for the Stability of RNA-Like Replicator Systems. Journal of Molecular Evolution. 65(6). 668–686. 33 indexed citations
20.
Takeuchi, Nobuto, et al.. (2005). Phenotypic error threshold; additivity and epistasis in RNA evolution. BMC Evolutionary Biology. 5(1). 9–9. 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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