Akane Tokumitsu

608 total citations
7 papers, 492 citations indexed

About

Akane Tokumitsu is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Akane Tokumitsu has authored 7 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Pharmacology. Recurrent topics in Akane Tokumitsu's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Akane Tokumitsu is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Akane Tokumitsu collaborates with scholars based in Japan and United Kingdom. Akane Tokumitsu's co-authors include Masayo Kakuta, Makoto Yamashita, Takanori Tomozawa, Shuku Kubo, Hatsumi Nasu, Tomoko Yamamoto, Toshifumi Tomoyasu, Akiko Takaya, Mizue Morioka and Masato Suzuki and has published in prestigious journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy and The Journal of Antibiotics.

In The Last Decade

Akane Tokumitsu

7 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akane Tokumitsu Japan 6 262 167 93 83 79 7 492
Cristiana Santos de Macedo Brazil 17 198 0.8× 206 1.2× 183 2.0× 118 1.4× 130 1.6× 37 653
Analise Z. Reeves United States 9 132 0.5× 172 1.0× 188 2.0× 52 0.6× 108 1.4× 13 481
Wardi Moussaoui France 9 188 0.7× 166 1.0× 97 1.0× 30 0.4× 62 0.8× 9 504
Govindsamy Vediyappan United States 15 156 0.6× 276 1.7× 404 4.3× 88 1.1× 43 0.5× 23 663
Barbara Reinap United States 8 60 0.2× 243 1.5× 116 1.2× 70 0.8× 83 1.1× 8 469
Weiyang Sun China 17 351 1.3× 109 0.7× 238 2.6× 47 0.6× 36 0.5× 52 643
Viliam Pavliak United States 14 168 0.6× 217 1.3× 90 1.0× 35 0.4× 42 0.5× 22 479
Aurel Negrea Sweden 10 74 0.3× 141 0.8× 110 1.2× 125 1.5× 154 1.9× 10 495
Blanca Eisman Spain 8 258 1.0× 326 2.0× 399 4.3× 94 1.1× 57 0.7× 8 639
Miguel Sánchez‐Pérez Spain 9 168 0.6× 165 1.0× 220 2.4× 59 0.7× 45 0.6× 13 524

Countries citing papers authored by Akane Tokumitsu

Since Specialization
Citations

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

Fields of papers citing papers by Akane Tokumitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akane Tokumitsu

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

All Works

7 of 7 papers shown
1.
Tokumitsu, Akane, Takeshi Masuda, Yuko Yamamoto, et al.. (2019). Muraminomicins, novel ester derivatives: in vitro and in vivo antistaphylococcal activity. The Journal of Antibiotics. 72(12). 956–969. 2 indexed citations
2.
Kubo, Shuku, Akane Tokumitsu, Takanori Tomozawa, Masayo Kakuta, & Makoto Yamashita. (2011). High and continuous exposure of laninamivir, an anti-influenza drug, may work suppressively to generate low-susceptibility mutants in animals. Journal of Infection and Chemotherapy. 18(1). 69–74. 5 indexed citations
3.
Sugihara, Kiyoshi, Yoko Matsushita, Naotoshi Yamamura, et al.. (2010). In Vivo Pharmacodynamic Activity of Tomopenem (formerly CS-023) against Pseudomonas aeruginosa and Methicillin-Resistant Staphylococcus aureus in a Murine Thigh Infection Model. Antimicrobial Agents and Chemotherapy. 54(12). 5298–5302. 20 indexed citations
4.
Kubo, Shuku, Takanori Tomozawa, Masayo Kakuta, Akane Tokumitsu, & Makoto Yamashita. (2010). Laninamivir Prodrug CS-8958, a Long-Acting Neuraminidase Inhibitor, Shows Superior Anti-Influenza Virus Activity after a Single Administration. Antimicrobial Agents and Chemotherapy. 54(3). 1256–1264. 105 indexed citations
5.
Yamashita, Makoto, Takanori Tomozawa, Masayo Kakuta, et al.. (2008). CS-8958, a Prodrug of the New Neuraminidase Inhibitor R-125489, Shows Long-Acting Anti-Influenza Virus Activity. Antimicrobial Agents and Chemotherapy. 53(1). 186–192. 174 indexed citations
6.
Tomoyasu, Toshifumi, Akane Tokumitsu, Akiko Takaya, et al.. (2002). The ClpXP ATP-Dependent Protease Regulates Flagellum Synthesis inSalmonella entericaSerovar Typhimurium. Journal of Bacteriology. 184(3). 645–653. 85 indexed citations
7.
Takaya, Akiko, Toshifumi Tomoyasu, Akane Tokumitsu, Mizue Morioka, & Tomoko Yamamoto. (2002). The ATP-Dependent Lon Protease ofSalmonella entericaSerovar Typhimurium Regulates Invasion and Expression of Genes Carried onSalmonellaPathogenicity Island 1. Journal of Bacteriology. 184(1). 224–232. 101 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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