Reiko Kariyama

2.1k total citations
49 papers, 1.7k citations indexed

About

Reiko Kariyama is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Reiko Kariyama has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Infectious Diseases and 15 papers in Epidemiology. Recurrent topics in Reiko Kariyama's work include Antimicrobial Resistance in Staphylococcus (18 papers), Antibiotic Resistance in Bacteria (11 papers) and Bacterial biofilms and quorum sensing (11 papers). Reiko Kariyama is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (18 papers), Antibiotic Resistance in Bacteria (11 papers) and Bacterial biofilms and quorum sensing (11 papers). Reiko Kariyama collaborates with scholars based in Japan, United States and New Zealand. Reiko Kariyama's co-authors include Hiromi Kumon, Ritsuko Mitsuhata, Gerald D. Shockman, Koichi Monden, Joseph W. Chow, L Daneo-Moore, Don B. Clewell, Jiro Nakayama, Orietta Massidda and Yasuhiro Kanemasa and has published in prestigious journals such as Applied and Environmental Microbiology, Analytical Biochemistry and Journal of Bacteriology.

In The Last Decade

Reiko Kariyama

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reiko Kariyama Japan 23 836 578 296 271 234 49 1.7k
Daniel O. Sordelli Argentina 27 979 1.2× 999 1.7× 255 0.9× 418 1.5× 182 0.8× 117 2.3k
Koichi Tanimoto Japan 22 681 0.8× 616 1.1× 174 0.6× 348 1.3× 257 1.1× 59 1.5k
Abdellah Benachour France 28 951 1.1× 620 1.1× 274 0.9× 572 2.1× 160 0.7× 55 2.0k
Carme Cucarella Spain 14 1.3k 1.6× 890 1.5× 267 0.9× 267 1.0× 178 0.8× 21 2.0k
Olivier Gaillot France 22 839 1.0× 564 1.0× 417 1.4× 353 1.3× 160 0.7× 45 2.3k
M. Costas Spain 25 797 1.0× 296 0.5× 286 1.0× 341 1.3× 133 0.6× 98 2.2k
Sarah L. Baines Australia 22 585 0.7× 723 1.3× 222 0.8× 156 0.6× 305 1.3× 51 1.5k
William R. Schwan United States 25 802 1.0× 552 1.0× 438 1.5× 247 0.9× 90 0.4× 63 1.9k
Christopher J. Kristich United States 26 1.3k 1.6× 1.0k 1.8× 250 0.8× 379 1.4× 282 1.2× 53 2.3k
Veronica N. Kos United States 14 825 1.0× 651 1.1× 163 0.6× 324 1.2× 273 1.2× 19 1.7k

Countries citing papers authored by Reiko Kariyama

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Kariyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Kariyama

This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Kariyama. A scholar is included among the top collaborators of Reiko Kariyama 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 Reiko Kariyama. Reiko Kariyama 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.
Matsuo, Shuji, Kouichi Wada, Ritsuko Mitsuhata, et al.. (2019). Impact of Lactobacillus probiotics on biofilm formed by Pseudomonas aeruginosa. European Urology Supplements. 18(1). e548–e548. 1 indexed citations
2.
Murakami, Keiji, Reiko Kariyama, Kenji Hori, et al.. (2017). Effects of an autoinducer analogue on antibiotic tolerance in Pseudomonas aeruginosa. Journal of Antimicrobial Chemotherapy. 72(8). 2230–2240. 7 indexed citations
3.
Wada, Koichiro, Shinya Uehara, Takuya Sadahira, et al.. (2016). Clinical analysis of bacterial strain profiles isolated from urinary tract infections: A 30-year study. Journal of Infection and Chemotherapy. 22(7). 478–482. 6 indexed citations
4.
Wada, Koichiro, Koichiro Wada, Shinya Uehara, et al.. (2012). Prevalence of pharyngeal Chlamydia trachomatis and Neisseria gonorrhoeae among heterosexual men in Japan. Journal of Infection and Chemotherapy. 18(5). 729–733. 11 indexed citations
5.
Sanchez, Zoe, Akio Tani, Nobuhiro Suzuki, et al.. (2012). Assessment of change in biofilm architecture by nutrient concentration using a multichannel microdevice flow system. Journal of Bioscience and Bioengineering. 115(3). 326–331. 13 indexed citations
6.
Wada, Koichiro, Reiko Kariyama, Ritsuko Mitsuhata, et al.. (2009). Experimental and clinical studies on fluoroquinolone-insusceptible Escherichia coli isolated from patients with urinary tract infections from 1994 to 2007.. PubMed. 63(5). 263–72. 17 indexed citations
7.
8.
Ohnishi, Ryoko, Hideyuki Ito, Naoki Kasajima, et al.. (2006). Urinary Excretion of Anthocyanins in Humans after Cranberry Juice Ingestion. Bioscience Biotechnology and Biochemistry. 70(7). 1681–1687. 78 indexed citations
9.
Uehara, Shinya, et al.. (2006). A pilot study evaluating the safety and effectiveness of Lactobacillus vaginal suppositories in patients with recurrent urinary tract infection. International Journal of Antimicrobial Agents. 28. 30–34. 85 indexed citations
10.
Kariyama, Reiko, Hiromi Kumon, Anette M. Hammerum, Frank M. Aarestrup, & Lars Jensen. (2001). Identification of a Tn 1546 -Like (Type 2) Element in Vancomycin-Resistant Enterococcus faecium Isolated from Hospitalized Patients in Japan . Antimicrobial Agents and Chemotherapy. 45(3). 992–993. 4 indexed citations
11.
Kariyama, Reiko & Hiromi Kumon. (2001). [Combination therapy against vancomycin-resistant enterococci].. PubMed. 59(4). 733–8. 1 indexed citations
12.
13.
Kariyama, Reiko, et al.. (2000). In-vitro activity of arbekacin alone and in combination with vancomycin against gentamicin- and methicillin-resistant Staphylococcus aureus☆. Diagnostic Microbiology and Infectious Disease. 36(1). 37–41. 23 indexed citations
14.
Daneo-Moore, L, Orietta Massidda, Reiko Kariyama, & Gerald D. Shockman. (1996). Penicillin Resistance and Autolysis in Enterococci. Microbial Drug Resistance. 2(1). 159–161. 4 indexed citations
15.
Shockman, Gerald D., L Daneo-Moore, Reiko Kariyama, & Orietta Massidda. (1996). Bacterial Walls, Peptidoglycan Hydrolases, Autolysins, and Autolysis. Microbial Drug Resistance. 2(1). 95–98. 80 indexed citations
16.
Massidda, Orietta, Reiko Kariyama, L Daneo-Moore, & Gerald D. Shockman. (1996). Evidence that the PBP 5 synthesis repressor (psr) of Enterococcus hirae is also involved in the regulation of cell wall composition and other cell wall-related properties. Journal of Bacteriology. 178(17). 5272–5278. 29 indexed citations
17.
Joris, Bernard, et al.. (1992). Modular design of theEnterococcus hiraemuramidase-2 andStreptococcus faecalisautolysin. FEMS Microbiology Letters. 91(3). 257–264. 107 indexed citations
18.
Kariyama, Reiko, et al.. (1992). Cloning andSequence Analysis oftheMuramidase-2 Gene fromEnterococcus hirae. 1 indexed citations
19.
Okabe, Akinobu, et al.. (1979). Lipid Composition of Staphylococcus aureus and Its Derived L‐forms. Microbiology and Immunology. 23(6). 435–442. 50 indexed citations
20.
Katayama, T., Kenichi Takai, Reiko Kariyama, & Yasuhiro Kanemasa. (1978). Colloid titration of heparin using Cat-Floc (polydiallyldimethyl ammonium chloride) as standard polycation. Analytical Biochemistry. 88(2). 382–387. 36 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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