Akio Kuga

541 total citations
10 papers, 456 citations indexed

About

Akio Kuga is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology. According to data from OpenAlex, Akio Kuga has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Medicine, 5 papers in Endocrinology and 3 papers in Molecular Biology. Recurrent topics in Akio Kuga's work include Antibiotic Resistance in Bacteria (6 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Akio Kuga is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Akio Kuga collaborates with scholars based in Japan and Indonesia. Akio Kuga's co-authors include Matsuhisa Inoue, Ryoichi Okamoto, Hisakazu Yano, Toshimitsu Kobayashi, Takashi Ida, Toyoji Okubo, Hidero Kitasato, Masato Nonoyama, Mitsuko Suetake and Yuki Yamada and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

In The Last Decade

Akio Kuga

10 papers receiving 443 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akio Kuga	245	192	191	101	95	10	456
Jae Il Yoo	185 0.8×	244 1.3×	190 1.0×	107 1.1×	123 1.3×	29	478
Isamu Nakasone	196 0.8×	113 0.6×	123 0.6×	72 0.7×	130 1.4×	46	452
Jung Sik Yoo	228 0.9×	239 1.2×	180 0.9×	81 0.8×	115 1.2×	41	561
Rosslyn Maybank	250 1.0×	112 0.6×	151 0.8×	65 0.6×	85 0.9×	23	440
Rebecca A. Hutton	292 1.2×	262 1.4×	129 0.7×	144 1.4×	99 1.0×	10	539
Feng-Jui Chen	228 0.9×	284 1.5×	289 1.5×	160 1.6×	131 1.4×	36	627
Tsai-Ling Lauderdale	216 0.9×	184 1.0×	161 0.8×	94 0.9×	55 0.6×	16	413
Matthias Steglich	181 0.7×	221 1.2×	259 1.4×	71 0.7×	79 0.8×	22	546
Keren Shi	368 1.5×	135 0.7×	138 0.7×	71 0.7×	128 1.3×	19	491
Fei-Fei Gu	169 0.7×	168 0.9×	125 0.7×	103 1.0×	97 1.0×	22	395

Countries citing papers authored by Akio Kuga

Since Specialization

Citations

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

Fields of papers citing papers by Akio Kuga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Kuga

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

All Works

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10 of 10 papers shown

Nakano, Ryuichi, Yuki Yamada, Akiyo Nakano, et al.. (2022). The Role of nmcR, ampR, and ampD in the Regulation of the Class A Carbapenemase NmcA in Enterobacter ludwigii. Frontiers in Microbiology. 12. 794134–794134. 2 indexed citations

Ida, Takashi, et al.. (2001). Identification of Aminoglycoside-Modifying Enzymes by Susceptibility Testing: Epidemiology of Methicillin-Resistant Staphylococcus aureus in Japan. Journal of Clinical Microbiology. 39(9). 3115–3121. 113 indexed citations

Yano, Hisakazu, Akio Kuga, Ryoichi Okamoto, et al.. (2001). Plasmid-Encoded Metallo-β-Lactamase (IMP-6) Conferring Resistance to Carbapenems, Especially Meropenem. Antimicrobial Agents and Chemotherapy. 45(5). 1343–1348. 123 indexed citations

Yano, Hisakazu, Mitsuko Suetake, Akio Kuga, et al.. (2000). Pulsed-Field Gel Electrophoresis Analysis of Nasopharyngeal Flora in Children Attending a Day Care Center. Journal of Clinical Microbiology. 38(2). 625–629. 65 indexed citations

Kuga, Akio, et al.. (2000). [In vitro antibacterial activity of prulifloxacin, a new oral quinolone, and comparative susceptibility rate at clinical breakpoint MIC].. PubMed. 53(9). 593–608. 1 indexed citations

Kuga, Akio, Ryoichi Okamoto, & Matsuhisa Inoue. (2000). ampR Gene Mutations That Greatly Increase Class C β-Lactamase Activity in Enterobacter cloacae. Antimicrobial Agents and Chemotherapy. 44(3). 561–567. 66 indexed citations

Yano, Hisakazu, et al.. (1999). Presence of Genes for .BETA.-Lactamases of Two Different Classes on a Single Plasmid from a Clinical Isolate of Serrtia marcescens.. The Journal of Antibiotics. 52(12). 1135–1139. 8 indexed citations

Kuga, Akio, et al.. (1999). [Antibacterial activity of beta-lactam antibiotics against extended-spectrum beta-lactamase producing bacteria].. PubMed. 52(9). 585–94. 1 indexed citations

Inoue, Matsuhisa, et al.. (1998). Why do antimicrobial agents become ineffectual?. Yonsei Medical Journal. 39(6). 502–502. 4 indexed citations

10.

Nonoyama, Masato, Takashi Ida, Ryoichi Okamoto, et al.. (1996). Detection of tet(K) and tet(M) in Staphylococcus aureus of Asian Countries by the Polymerase Chain Reaction.. The Journal of Antibiotics. 49(11). 1127–1132. 73 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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