Rikiya Takeuchi

1.2k total citations
11 papers, 749 citations indexed

About

Rikiya Takeuchi is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Rikiya Takeuchi has authored 11 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Rikiya Takeuchi's work include Bacterial Genetics and Biotechnology (6 papers), Gene Regulatory Network Analysis (5 papers) and RNA and protein synthesis mechanisms (3 papers). Rikiya Takeuchi is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Gene Regulatory Network Analysis (5 papers) and RNA and protein synthesis mechanisms (3 papers). Rikiya Takeuchi collaborates with scholars based in Japan, United States and Taiwan. Rikiya Takeuchi's co-authors include Hirotada Mori, Anand V. Sastry, Zhen Zhang, Adam M. Feist, Nathan Mih, Jonathan M. Monk, Colton J. Lloyd, Zachary A. King, Elizabeth Brunk and Bernhard Ø. Palsson and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Biochemical Journal.

In The Last Decade

Rikiya Takeuchi

11 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rikiya Takeuchi Japan	9	645	197	190	55	53	11	749
Anu Raghunathan India	11	541 0.8×	104 0.5×	251 1.3×	24 0.4×	55 1.0×	18	687
Edward Catoiu United States	9	358 0.6×	90 0.5×	84 0.4×	65 1.2×	47 0.9×	12	459
Donghui Choe South Korea	14	569 0.9×	83 0.4×	221 1.2×	34 0.6×	64 1.2×	34	673
Sonja Hasenbein Germany	11	428 0.7×	80 0.4×	227 1.2×	28 0.5×	59 1.1×	12	555
Renske van Raaphorst Netherlands	10	268 0.4×	61 0.3×	88 0.5×	22 0.4×	45 0.8×	12	364
Kinga Umenhoffer Hungary	7	797 1.2×	70 0.4×	515 2.7×	28 0.5×	161 3.0×	7	926
Hassan A. I. Ramadan Egypt	8	376 0.6×	73 0.4×	85 0.4×	19 0.3×	39 0.7×	18	524
Andrea T. Hüser Germany	17	789 1.2×	246 1.2×	268 1.4×	21 0.4×	35 0.7×	20	903
Eduardo Abeliuk United States	7	670 1.0×	74 0.4×	352 1.9×	12 0.2×	222 4.2×	8	831
Shamik S. Sharma United States	7	607 0.9×	64 0.3×	320 1.7×	28 0.5×	102 1.9×	7	698

Countries citing papers authored by Rikiya Takeuchi

Since Specialization

Citations

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

Fields of papers citing papers by Rikiya Takeuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rikiya Takeuchi

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

All Works

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11 of 11 papers shown

Wang, Wen‐Hung, Rikiya Takeuchi, Kazunari Nakaishi, et al.. (2020). A novel, rapid (within hours) culture-free diagnostic method for detecting live Mycobacterium tuberculosis with high sensitivity. EBioMedicine. 60. 103007–103007. 28 indexed citations

Takeuchi, Rikiya, et al.. (2020). Proposal of De Novo Antigen Test for COVID-19: Ultrasensitive Detection of Spike Proteins of SARS-CoV-2. Diagnostics. 10(8). 594–594. 36 indexed citations

Monk, Jonathan M., Colton J. Lloyd, Elizabeth Brunk, et al.. (2017). iML1515, a knowledgebase that computes Escherichia coli traits. Nature Biotechnology. 35(10). 904–908. 365 indexed citations

Mori, Hirotada, Tomoya Baba, Katsushi Yokoyama, et al.. (2015). Identification of Essential Genes and Synthetic Lethal Gene Combinations in Escherichia coli K-12. Methods in molecular biology. 1279. 45–65. 21 indexed citations

Mori, Hirotada, Rikiya Takeuchi, Yuta Otsuka, et al.. (2015). Toward Network Biology in E. coli Cell. Advances in experimental medicine and biology. 883. 155–168. 5 indexed citations

Takeuchi, Rikiya, et al.. (2014). Colony-live — a high-throughput method for measuring microbial colony growth kinetics— reveals diverse growth effects of gene knockouts in Escherichia coli. BMC Microbiology. 14(1). 171–171. 35 indexed citations

Khan, Ishita, et al.. (2014). Genome-scale identification and characterization of moonlighting proteins. Biology Direct. 9(1). 30–30. 28 indexed citations

Montero, Manuel, Goizeder Almagro, Alejandro M. Viale, et al.. (2013). GlgS, described previously as a glycogen synthesis control protein, negatively regulates motility and biofilm formation in Escherichia coli. Biochemical Journal. 452(3). 559–573. 24 indexed citations

Yamamoto, Natsuko, Rikiya Takeuchi, Yi-Ju Hsieh, et al.. (2013). Development of a system for discovery of genetic interactions for essential genes in <i>Escherichia coli</i> K-12. Genes & Genetic Systems. 88(4). 233–240. 7 indexed citations

10.

Nakayashiki, Toru, Natsumi Saito, Rikiya Takeuchi, et al.. (2013). The tRNA Thiolation Pathway Modulates the Intracellular Redox State in Escherichia coli. Journal of Bacteriology. 195(9). 2039–2049. 19 indexed citations

11.

Typas, Athanasios, Robert J. Nichols, Deborah A. Siegele, et al.. (2008). High-throughput, quantitative analyses of genetic interactions in E. coli. Nature Methods. 5(9). 781–787. 181 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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