Rumi Okuno

504 total citations
30 papers, 333 citations indexed

About

Rumi Okuno is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Rumi Okuno has authored 30 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 18 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Rumi Okuno's work include Streptococcal Infections and Treatments (22 papers), Antimicrobial Resistance in Staphylococcus (15 papers) and Neonatal and Maternal Infections (8 papers). Rumi Okuno is often cited by papers focused on Streptococcal Infections and Treatments (22 papers), Antimicrobial Resistance in Staphylococcus (15 papers) and Neonatal and Maternal Infections (8 papers). Rumi Okuno collaborates with scholars based in Japan, United States and Albania. Rumi Okuno's co-authors include Tadayoshi Ikebe, Chihiro Katsukawa, Kikuyo Ogata, Junko Isobe, Daisuke Tanaka, Hitomi Ohya, Ryuji Kawahara, Haruo Watanabe, Tomoko Shima and Yuki Tada and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Rumi Okuno

27 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rumi Okuno Japan 11 257 207 90 78 41 30 333
Alexandra Doloy France 12 325 1.3× 226 1.1× 52 0.6× 144 1.8× 35 0.9× 20 426
Saffiatou Darboe Gambia 12 149 0.6× 116 0.6× 57 0.6× 110 1.4× 51 1.2× 22 334
Izaskun Alejo-Cancho Spain 9 74 0.3× 119 0.6× 70 0.8× 93 1.2× 40 1.0× 21 266
Camille d’Humières France 12 91 0.4× 151 0.7× 53 0.6× 103 1.3× 72 1.8× 24 331
Trinh Tuyet Dao Vietnam 6 118 0.5× 152 0.7× 25 0.3× 116 1.5× 65 1.6× 9 301
Hideji Yanagisawa Japan 12 116 0.5× 138 0.7× 115 1.3× 143 1.8× 107 2.6× 19 376
Dora Vager United States 8 124 0.5× 340 1.6× 199 2.2× 84 1.1× 40 1.0× 8 437
N. A. C. Potz United Kingdom 6 68 0.3× 115 0.6× 70 0.8× 76 1.0× 112 2.7× 7 273
Paola Jeric Argentina 8 102 0.4× 145 0.7× 42 0.5× 60 0.8× 120 2.9× 9 338
Kati Räisänen Finland 9 162 0.6× 152 0.7× 60 0.7× 98 1.3× 122 3.0× 14 367

Countries citing papers authored by Rumi Okuno

Since Specialization
Citations

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

Fields of papers citing papers by Rumi Okuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumi Okuno

This figure shows the co-authorship network connecting the top 25 collaborators of Rumi Okuno. A scholar is included among the top collaborators of Rumi Okuno 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 Rumi Okuno. Rumi Okuno 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.
Yamaguchi, M., Daisuke Motooka, Yujiro Hirose, et al.. (2025). Identifying genetic variations in emm89 Streptococcus pyogenes associated with severe invasive infections. eLife. 14.
2.
Kubota, Hiroaki, et al.. (2025). Multiplex amplicon sequencing for the comprehensive genotyping of Mycoplasma pneumoniae. Microbiology Spectrum. 13(7). e0271924–e0271924.
3.
Ikebe, Tadayoshi, Rumi Okuno, Takahiro Yamaguchi, et al.. (2024). Epidemiological shifts in and impact of COVID-19 on streptococcal toxic shock syndrome in Japan: A genotypic analysis of group A Streptococcus isolates. International Journal of Infectious Diseases. 142. 106954–106954. 10 indexed citations
4.
5.
Kubota, Hiroaki, Tomohiro Nakayama, Sachio Tsuchida, et al.. (2023). Emergence of Phytobacter diazotrophicus carrying an IncA/C 2 plasmid harboring bla NDM-1 in Tokyo, Japan. mSphere. 8(4). e0014723–e0014723. 5 indexed citations
6.
7.
Ikebe, Tadayoshi, Rumi Okuno, Mari Sasaki, et al.. (2021). Molecular characterization and antimicrobial resistance of group A streptococcus isolates in streptococcal toxic shock syndrome cases in Japan from 2013 to 2018. International Journal of Medical Microbiology. 311(3). 151496–151496. 11 indexed citations
8.
Kubota, Hiroaki, Yasunori Suzuki, Rumi Okuno, et al.. (2019). IMP-68, a Novel IMP-Type Metallo-β-Lactamase in Imipenem-Susceptible Klebsiella pneumoniae. mSphere. 4(5). 19 indexed citations
9.
Ikebe, Tadayoshi, Takayuki Matsumura, Hitomi Ohya, et al.. (2016). Spontaneous mutations in Streptococcus pyogenes isolates from streptococcal toxic shock syndrome patients play roles in virulence. Scientific Reports. 6(1). 28761–28761. 10 indexed citations
10.
Ikebe, Tadayoshi, Kiyoshi Tominaga, Tomoko Shima, et al.. (2014). Increased prevalence of group A streptococcus isolates in streptococcal toxic shock syndrome cases in Japan from 2010 to 2012. Epidemiology and Infection. 143(4). 864–872. 52 indexed citations
11.
Ikebe, Tadayoshi, Kazuki Chiba, Tomoko Shima, et al.. (2014). Evaluation of streptococcal toxic shock-like syndrome caused by group B streptococcus in adults in Japan between 2009 and 2013. Journal of Infection and Chemotherapy. 21(3). 207–211. 16 indexed citations
12.
Ikebe, Tadayoshi, Akihito Wada, Kikuyo Ogata, et al.. (2010). Emergence of clindamycin-resistant Streptococcus pyogenes isolates obtained from patients with severe invasive infections in Japan.. PubMed. 63(4). 304–5. 5 indexed citations
13.
Ikebe, Tadayoshi, Akihito Wada, Kikuyo Ogata, et al.. (2010). Emergence of Clindamycin-Resistant <i>Streptococcus pyogenes</i> Isolates Obtained from Patients with Severe Invasive Infections in Japan. Japanese Journal of Infectious Diseases. 63(4). 304–305. 4 indexed citations
14.
Furuhata, Katsunori, et al.. (2009). Growth in Acanthamoeba sp. and Antibiotic Susceptibility of Legionella micdadei Isolated from Hot Spring Water Samples. Biocontrol Science. 14(4). 181–184. 3 indexed citations
15.
Ikebe, Tadayoshi, Kyoko Hirasawa, Hitomi Ohya, et al.. (2007). Distribution ofemmgenotypes among group A streptococcus isolates from patients with severe invasive streptococcal infections in Japan, 2001–2005. Epidemiology and Infection. 135(7). 1227–1229. 26 indexed citations
16.
Matsumoto, Masakado, Kenji Sakae, Michio Ohta, et al.. (2005). Molecular mechanisms of high level tetracycline-resistance in group A streptococcal isolates, T serotypes 4 and 11. International Journal of Antimicrobial Agents. 25(2). 142–147. 5 indexed citations
17.
18.
Okuno, Rumi, et al.. (2004). Two Nosocomial Outbreaks of Sepsis Caused by Serratia marcescens, which Occurred in July 1999 and January 2002-Tokyo. Kansenshogaku zasshi. 78(4). 295–304. 4 indexed citations
19.
Amano, Yuji, et al.. (2001). Epidemiological Survey for Hemolytic Streptococci Isolated from Children in Tokyo. Kansenshogaku zasshi. 75(4). 314–325. 4 indexed citations
20.

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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