Keiko Kimata

1.2k total citations
31 papers, 822 citations indexed

About

Keiko Kimata is a scholar working on Endocrinology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Keiko Kimata has authored 31 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, 14 papers in Molecular Biology and 12 papers in Infectious Diseases. Recurrent topics in Keiko Kimata's work include Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Bacterial Genetics and Biotechnology (6 papers). Keiko Kimata is often cited by papers focused on Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Bacterial Genetics and Biotechnology (6 papers). Keiko Kimata collaborates with scholars based in Japan, United States and Netherlands. Keiko Kimata's co-authors include Hiroji Aiba, Toshifumi Inada, Hideaki Tagami, Junko Isobe, Pieter W. Postma, Hideyuki Takahashi, Masanori Watahiki, Yuya Tanaka, Daisuke Tanaka and Tomoko Shima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Applied and Environmental Microbiology.

In The Last Decade

Keiko Kimata

29 papers receiving 799 citations

Peers

Keiko Kimata
Shaun R. Brinsmade United States
Tina Jaeger Switzerland
Yingxing Li China
Naoki Awano Japan
Desirée C. Yang United States
M R Wilmes-Riesenberg United States
Anuradha Janakiraman United States
Hiraku Takada Japan
Liselot Dewachter Belgium
Alexander Elsholz Germany
Shaun R. Brinsmade United States
Keiko Kimata
Citations per year, relative to Keiko Kimata Keiko Kimata (= 1×) peers Shaun R. Brinsmade

Countries citing papers authored by Keiko Kimata

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kimata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Kimata

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kimata. A scholar is included among the top collaborators of Keiko Kimata 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 Keiko Kimata. Keiko Kimata 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.
Fujiyoshi, So, Junko Isobe, Keiko Kimata, et al.. (2024). Correlation between bacterial microbiome and Legionella species in water from public bath facilities by 16S rRNA gene amplicon sequencing. Microbiology Spectrum. 12(4). e0345923–e0345923.
2.
Saito, Kazuki, Keiko Kimata, Masanori Watahiki, et al.. (2024). Investigation of an Outbreak of <i>Clostridium perfringens</i> in Toyama, Japan, 2023 Using Single-Nucleotide Polymorphism Analysis for Genotyping. Japanese Journal of Infectious Diseases. 78(1). 47–50. 1 indexed citations
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Hara‐Kudo, Yukiko, Kayoko Ohtsuka, Noriko Konishi, et al.. (2020). An interlaboratory study on the detection methods for enterotoxigenic Escherichia coli in vegetables using enterotoxin gene screening and selective agars for ETEC-specific isolation. International Journal of Food Microbiology. 334. 108832–108832. 5 indexed citations
5.
Kimata, Keiko, Kenichi Lee, Masanori Watahiki, et al.. (2020). Global distribution of epidemic-related Shiga toxin 2 encoding phages among enteroaggregative Escherichia coli. Scientific Reports. 10(1). 11738–11738. 10 indexed citations
6.
Isobe, Junko, Keiko Kimata, Junko Amemura‐Maekawa, et al.. (2017). Prevalence of Legionella species isolated from shower water in public bath facilities in Toyama Prefecture, Japan. Journal of Infection and Chemotherapy. 23(5). 265–270. 11 indexed citations
7.
8.
Isobe, Junko, Keiko Kimata, Tomoko Shima, et al.. (2013). Close Genetic Relationship between Legionella pneumophila Serogroup 1 Isolates from Sputum Specimens and Puddles on Roads, as Determined by Sequence-Based Typing. Applied and Environmental Microbiology. 79(13). 3959–3966. 13 indexed citations
9.
Isobe, Junko, Keiko Kimata, Tomoko Shima, et al.. (2012). Molecular epidemiology of Legionella pneumophila serogroup 1 isolates identify a prevalent sequence type, ST505, and a distinct clonal group of clinical isolates in Toyama Prefecture, Japan. Journal of Infection and Chemotherapy. 19(4). 644–652. 8 indexed citations
10.
Shima, Tomoko, et al.. (2011). Evaluation of a Rapid Test for Determination of Most Probable Number of Viable Vibrio parahaemolyticus by Using Etidium Monoazide. Japanese Journal of Food Microbiology. 28(1). 21–28. 3 indexed citations
11.
Tanaka, Daisuke, Keiko Kimata, Junko Isobe, et al.. (2007). Genotyping of <i>Clostridium perfringens</i> Isolates Collected from Food Poisoning Outbreaks and Healthy Individuals in Japan Based on the <i>cpe</i> Locus. Japanese Journal of Infectious Diseases. 60(1). 68–69. 23 indexed citations
12.
Tanaka, Daisuke, Junko Isobe, Keiko Kimata, Tomoko Shima, & Masanori Watahiki. (2005). Molecular Analysis of Streptococcal Pyrogenic Exotoxin Genes among Group A Streptococcus Isolates fram Japanese Patients with Pharyngitis and Skin Infections. Kansenshogaku zasshi. 79(7). 443–450. 3 indexed citations
13.
Isobe, Junko, et al.. (2004). Isolation of Escherichia coli O128: HNM Harboring stx2f Gene from Diarrhea Patients. Kansenshogaku zasshi. 78(12). 1000–1005. 13 indexed citations
14.
Tanaka, Daisuke, Junko Isobe, Keiko Kimata, et al.. (2003). An Outbreak of Food-Borne Gastroenteritis Caused by <i>Clostridium perfringens</i> Carrying the <i>cpe</i> Gene on a Plasmid. Japanese Journal of Infectious Diseases. 56(3). 137–139. 8 indexed citations
15.
Tanaka, Daisuke, Junko Isobe, Keiko Kimata, et al.. (2003). An outbreak of food-borne gastroenteritis caused by Clostridium perfringens carrying the cpe gene on a plasmid.. PubMed. 56(3). 137–9. 23 indexed citations
16.
GYOBU, Yotaku, et al.. (2003). . Japanese Journal of Food Microbiology. 20(4). 197–202. 1 indexed citations
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Tanaka, Yuya, Keiko Kimata, Toshifumi Inada, Hideaki Tagami, & Hiroji Aiba. (1999). Negative regulation of theptsoperon by Mlc: mechanism underlying glucose induction inEscherichia coli. Genes to Cells. 4(7). 391–399. 55 indexed citations
19.
Kimata, Keiko, Toshifumi Inada, Hideaki Tagami, & Hiroji Aiba. (1998). A global repressor (Mlc) is involved in glucose induction of the ptsG gene encoding major glucose transporter in Escherichia coli. Molecular Microbiology. 29(6). 1509–1519. 79 indexed citations
20.
Inada, Toshifumi, Keiko Kimata, & Hiroji Aiba. (1996). Mechanism responsible for glucose–lactose diauxie in Escherichia coli: challenge to the cAMP model. Genes to Cells. 1(3). 293–301. 162 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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