Nobuko Maeda

1.5k total citations
76 papers, 1.1k citations indexed

About

Nobuko Maeda is a scholar working on Periodontics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nobuko Maeda has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Periodontics, 15 papers in Molecular Biology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nobuko Maeda's work include Oral microbiology and periodontitis research (37 papers), Streptococcal Infections and Treatments (14 papers) and Salivary Gland Disorders and Functions (13 papers). Nobuko Maeda is often cited by papers focused on Oral microbiology and periodontitis research (37 papers), Streptococcal Infections and Treatments (14 papers) and Salivary Gland Disorders and Functions (13 papers). Nobuko Maeda collaborates with scholars based in Japan, United States and United Kingdom. Nobuko Maeda's co-authors include Tomoko Ohshima, Takashi Arai, Kazuhiro Gomi, Akihiro Yashima, Chaminda Jayampath Seneviratne, Masaaki Okamoto, Mikimoto Kanazashi, Takatoshi Nagano, Hiroyuki Nagashima and Kenichi Hojo and has published in prestigious journals such as Nucleic Acids Research, The Science of The Total Environment and Journal of Bacteriology.

In The Last Decade

Nobuko Maeda

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuko Maeda Japan 20 567 243 206 177 170 76 1.1k
Stacy Gregoire United States 13 905 1.6× 435 1.8× 197 1.0× 300 1.7× 189 1.1× 14 1.4k
Anders Johansson Sweden 21 522 0.9× 365 1.5× 310 1.5× 112 0.6× 175 1.0× 47 1.7k
Wilson A. Coulter United Kingdom 20 411 0.7× 241 1.0× 211 1.0× 100 0.6× 145 0.9× 37 1.1k
D.T. Clark United Kingdom 20 536 0.9× 245 1.0× 187 0.9× 123 0.7× 192 1.1× 30 992
Anna Jurczak Poland 12 520 0.9× 253 1.0× 153 0.7× 67 0.4× 128 0.8× 37 983
Melanie J. Wilson United Kingdom 21 613 1.1× 391 1.6× 135 0.7× 316 1.8× 242 1.4× 25 1.5k
Mark C. Herzberg United States 16 890 1.6× 389 1.6× 382 1.9× 95 0.5× 228 1.3× 26 1.3k
Paula Juliana Pérez‐Chaparro Brazil 18 653 1.2× 267 1.1× 224 1.1× 83 0.5× 98 0.6× 29 1.3k
Keang Peng Song Malaysia 13 443 0.8× 315 1.3× 109 0.5× 261 1.5× 92 0.5× 32 1.2k
Kirsti Kari Finland 22 882 1.6× 338 1.4× 230 1.1× 107 0.6× 73 0.4× 45 1.4k

Countries citing papers authored by Nobuko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Nobuko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuko Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuko Maeda. A scholar is included among the top collaborators of Nobuko Maeda 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 Nobuko Maeda. Nobuko Maeda 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.
Ohshima, Tomoko, Karen Meyer, Eisuke Takai, et al.. (2022). Proteome analysis of high affinity mouse saliva proteins to hydroxyapatite. Heliyon. 8(8). e10077–e10077. 3 indexed citations
2.
Tomoyasu, Toshifumi, et al.. (2020). A photometric pH assay for microplate bacterial cultures. Journal of Microbiological Methods. 172. 105910–105910. 1 indexed citations
3.
4.
Imamura, Takahiro, Seiko Tatehara, Reiko Tokuyama-Toda, et al.. (2014). Antibacterial and Antifungal Effect of 405 nm Monochromatic Laser on Endodontopathogenic Microorganisms. International Journal of Photoenergy. 2014. 1–7. 13 indexed citations
5.
Ohshima, Tomoko, Maki Sato, Yoshiko Hayashi, et al.. (2014). An analysis of the biofilms adhered to framework alloys using in vitro denture plaque models. Dental Materials Journal. 33(3). 402–414. 22 indexed citations
6.
Sato, Maki, Tomoko Ohshima, Nobuko Maeda, & Chikahiro Ohkubo. (2013). Removal Effectiveness of Biofilms and Changes in Surface Roughness by Cleaning Methods of Denture Base Resin. Annals of Japan Prosthodontic Society. 5(2). 174–183. 1 indexed citations
7.
Sato, Maki, Tomoko Ohshima, Nobuko Maeda, & Chikahiro Ohkubo. (2013). Inhibitory effect of coated mannan against the adhesion of Candida biofilms to denture base resin. Dental Materials Journal. 32(3). 355–360. 16 indexed citations
8.
9.
Ohshima, Tomoko, et al.. (2012). Effect of microbubbled water on the removal of a biofilm attached to orthodontic appliances — An in vitro study —. Dental Materials Journal. 31(5). 821–827. 17 indexed citations
10.
Okamoto, Mariko, Shigeo Yamachika, Akihisa Tsurumoto, et al.. (2012). Efficacy of Fungiflora Y staining for the diagnosis of oral erythematous candidiasis. Gerodontology. 30(3). 220–225. 6 indexed citations
11.
Nagamune, Hideaki, et al.. (2010). Sialidase of Streptococcus intermedius: a putative virulence factor modifying sugar chains. Microbiology and Immunology. 54(10). 584–595. 13 indexed citations
12.
Yashima, Akihiro, Kazuhiro Gomi, Nobuko Maeda, & Takashi Arai. (2009). One‐Stage Full‐Mouth Versus Partial‐Mouth Scaling and Root Planing During the Effective Half‐Life of Systemically Administered Azithromycin. Journal of Periodontology. 80(9). 1406–1413. 57 indexed citations
13.
Ohshima, Tomoko, et al.. (2006). Bacterial Investigation of Soft and Hard Root Caries Lesions. 42. 17–23. 1 indexed citations
14.
Maeda, Nobuko, Tomoko Ohshima, Kenichi Hojo, & Naoki Taketomo. (2006). Do probiotic bacteria improve human oral microbiota. 25(3). 61–68. 2 indexed citations
15.
Mirhendi, Hossein, Koichi Makimura, Kamiar Zomorodian, et al.. (2005). Differentiation of <i>Candida albicans</i> and <i>Candida dubliniensis</i> Using a Single-Enzyme PCR-RFLP Method. Japanese Journal of Infectious Diseases. 58(4). 235–237. 41 indexed citations
16.
Usui, Hiroyuki, Ayako Nakayama, Hiroyuki Nagashima, et al.. (2004). Detection of penicillin-binding protein 2b gene alteration in Streptococcus mitis by polymerase chain reaction. Journal of Infection and Chemotherapy. 10(1). 19–24. 2 indexed citations
17.
Nagamune, Hideaki, et al.. (2004). Identification of the anginosus group within the genusStreptococcususing polymerase chain reaction. FEMS Microbiology Letters. 233(1). 83–89. 23 indexed citations
18.
19.
Nakagawa, Yoichi, Gregory E. Oxford, Katsunori Ishibashi, et al.. (1997). Gastrointestinal absorption of insulin-like growth factor in the mouse in the absence of salivary insulin-like growth factor binding protein. Biochemical Pharmacology. 53(2). 233–240. 6 indexed citations
20.
Nakagawa, Yoichi, et al.. (1994). Characterization of the synthesis and expression of the GTA-kinase from transformed and normal rodent cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1218(3). 375–387. 4 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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