M Konno

2.0k citations
18 papers · 1.6k · h-index 12

Impact in

Papers in

M Konno

16 papers receiving 1.5k citations

Peers

M Konno
Comparison fields: 5 of 81
  • Molecular Medicine 602
  • Infectious Diseases 959
  • Clinical Biochemistry 315
  • Pharmacology 328
  • Microbiology 113
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S M Seo United States
Bret M. Benton United States
D. H. Bouanchaud France
Krzysztof Sieradzki United States
Jacob Poehlsgaard Denmark
Keiichi Hiramatsu Japan
Sandrine Lemaire Belgium
Klaudia Kosowska-Shick United States
Dmitri Debabov United States
Jeffrey B. Locke United States
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Citations per field
00.5×1.7×
S M Seo · 1×
Citations per year

Countries citing papers authored by M Konno

Since Specialization
Citations

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

Fields of papers citing papers by M Konno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Konno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Konno Line = papers co-authored together M Konno links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1990398
2 1986263
3 1989194
4 1985191
5 1989108
6 199289
7 198484
8 199674
9 199069
10 199051
11 199628
12 198926
13
Nucleotide Sequence andCharacterization ofthe Staphylococcus aureus norAGene,WhichConfers Resistance toQuinolones
19904
14
Background of the patients with MRSA infection
19923
15 20062
16
[Streptococcus group B infections].
19751
17
[Morphological studies on antibacterial activities of cefotiam (author's transl)].
19791
18
Clinical results with demethylchlortetracycline in pediatrics in Japan and comparative studies with other tetracyclines.
19980

About M Konno

M Konno is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Molecular Medicine and Pharmacology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (3 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), RNA and protein synthesis mechanisms (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (602 citations), Infectious Diseases (959 citations), Clinical Biochemistry (315 citations), Pharmacology (328 citations) and Microbiology (113 citations). M Konno has collaborated with scholars based in Japan and Kenya. Frequent co-authors include Kimiko Ubukata, Naoko Yamashita, Michio Matsuhashi, M Bogaki, Hisahiro Yoshida, Shinichiro Nakamura, Meirong Song, A Yamane, Fumitoshi Ishino and M Doi. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Journal of Clinical Microbiology, Medical Entomology and Zoology and PubMed.

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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