M. Kawamura

658 total citations
38 papers, 490 citations indexed

About

M. Kawamura is a scholar working on Molecular Biology, Pharmacology and Molecular Medicine. According to data from OpenAlex, M. Kawamura has authored 38 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Pharmacology and 9 papers in Molecular Medicine. Recurrent topics in M. Kawamura's work include Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). M. Kawamura is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). M. Kawamura collaborates with scholars based in Japan, United States and Taiwan. M. Kawamura's co-authors include Shigeru Fujimura, Akio Toh‐e, Takumi Sato, Ichiro Tsuji, Haruo Nakatsuka, Yasuko Koshihara, Shigeru Hisamichi, Yoshikazu Nishino, Yoshitaka Tsubono and Masaki Hirano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

M. Kawamura

35 papers receiving 474 citations

Peers

M. Kawamura

PHEOH

ONCOL

Michael L. Booker United States

Donna L. Perry United States

Megumi Takahashi Japan

Océane Martin France

Marni E. Cueno Japan

Keiko Komatsu Japan

Rosarita Amore Italy

Xueying Zhang China

Michael L. Booker United States

M. Kawamura

250 ×1.1

72 ×1.0

PHEOH

66 ×1.0

128 ×2.1

ONCOL

73 ×1.3

Citations per year, relative to M. Kawamura M. Kawamura (= 1×) peers Michael L. Booker

Countries citing papers authored by M. Kawamura

Since Specialization

Citations

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

Fields of papers citing papers by M. Kawamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kawamura

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

All Works

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20 of 20 papers shown

Sato, Takumi, et al.. (2023). The Drug-Specific Propensity Regarding the Acquisition of Fluoroquinolone Resistance in Escherichia coli: An in vitro Challenge and DNA Mutation Analysis. Infection and Drug Resistance. Volume 16. 6357–6366. 1 indexed citations

Sato, Takumi, Ryota Ito, M. Kawamura, & Shigeru Fujimura. (2022). The Risk of Emerging Resistance to Trimethoprim/Sulfamethoxazole in Staphylococcus aureus. Infection and Drug Resistance. Volume 15. 4779–4784. 10 indexed citations

Kawamura, M., et al.. (2022). Cefmetazole Resistance Mechanism for Escherichia Coli Including ESBL-Producing Strains. Infection and Drug Resistance. Volume 15. 5867–5878. 5 indexed citations

Fujimura, Shigeru, et al.. (2021). Comparison of Pharmaceutical Characteristics between Brand-Name Meropenem and Its Generics. Antibiotics. 10(9). 1096–1096. 1 indexed citations

Sato, Takumi, et al.. (2021). In vitro Tolerability of Biofilm-Forming Trimethoprim-/Sulfamethoxazole-Resistant Small Colony Variants of Staphylococcus aureus Against Various Antimicrobial Agents. Microbial Drug Resistance. 27(9). 1282–1289. 5 indexed citations

Kawamura, M., Shigeru Fujimura, Koichi Tokuda, et al.. (2019). Mutant selection window of disinfectants for Staphylococcus aureus and Pseudomonas aeruginosa. Journal of Global Antimicrobial Resistance. 17. 316–320. 6 indexed citations

Murakami, Hidetomo, et al.. (2018). The subjective perception of past, present, and future time in patients with Alzheimer's disease: a qualitative study. SHILAP Revista de lepidopterología. 1 indexed citations

Hayakawa, Sachiko, M. Kawamura, Takumi Sato, et al.. (2018). An α-Lipoic acid derivative, and anti-ROS agent, prevents the acquisition of multi-drug resistance in clinical isolates of Pseudomonas aeruginosa. Journal of Infection and Chemotherapy. 25(1). 28–33. 5 indexed citations

Sato, Takumi, et al.. (2018). Screening method for trimethoprim/sulfamethoxazole-resistant small colony variants of Staphylococcus aureus. Journal of Global Antimicrobial Resistance. 15. 1–5. 6 indexed citations

10.

Sato, Takumi, et al.. (2017). Mutant selection window of four quinolone antibiotics against clinical isolates of Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis. Journal of Infection and Chemotherapy. 24(2). 83–87. 8 indexed citations

11.

Chiou, Chien‐Shun, Hidemasa Izumiya, M. Kawamura, et al.. (2016). The worldwide spread of ciprofloxacin-resistant Shigella sonnei among HIV-infected men who have sex with men, Taiwan. Clinical Microbiology and Infection. 22(4). 383.e11–383.e16. 38 indexed citations

12.

Fujimura, Shigeru, et al.. (2015). Antimicrobial efficacy of combined clarithromycin plus daptomycin against biofilms-formed methicillin-resistant Staphylococcus aureus on titanium medical devices. Journal of Infection and Chemotherapy. 21(10). 756–759. 15 indexed citations

13.

Fujimura, Shigeru, et al.. (2006). Detection of Legionella pneumophila serogroup 7 strain from bathwater samples in a Japanese hospital. Journal of Infection and Chemotherapy. 12(2). 105–108. 7 indexed citations

14.

Wada, Yoichi, Hajime Sato, M. Kawamura, et al.. (2004). Prevalence of Mutations in Nine Candidate Genes in Japanese Patients with Autosomal Dominant Retinitis Pigmentosa. Investigative Ophthalmology & Visual Science. 45(13). 2456–2456. 1 indexed citations

15.

Tsubono, Yoshitaka, Keiko Ogawa‐Ochiai, Yoshiyuki Watanabe, et al.. (2001). Food Frequency Questionnaire as a Screening Test. Nutrition and Cancer. 39(1). 78–84. 29 indexed citations

16.

Tsubono, Yoshitaka, Yoshikazu Nishino, Yoko Watanabe, et al.. (1999). Inter- and Intra-individual variation of food and nutrient consumption in a rural Japanese population. European Journal of Clinical Nutrition. 53(10). 781–785. 53 indexed citations

17.

Kominami, Katsuya, M. Kawamura, George Demartino, et al.. (1997). Yeast counterparts of subunits S5a and p58 (S3) of the human 26S proteasome are encoded by two multicopy suppressors of nin1-1.. Molecular Biology of the Cell. 8(1). 171–187. 89 indexed citations

18.

Kawamura, M., Kin‐ichiro Kominami, Junko S. Takeuchi, & Akio Toh‐e. (1996). A multicopy suppressor ofnin1-1 of the yeastSaccharomyces cerevisiae is a counterpart of theDrosophila melanogaster diphenol oxidase A2 gene,Dox-A2. Molecular and General Genetics MGG. 251(2). 146–152. 17 indexed citations

19.

Kawamura, M., et al.. (1981). . NIPPON KAGAKU KAISHI. 255–258.

20.

Kawamura, M., et al.. (1980). . NIPPON KAGAKU KAISHI. 729–732.

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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