Keiko Matano

409 total citations
13 papers, 358 citations indexed

About

Keiko Matano is a scholar working on Infectious Diseases, Endocrinology and Epidemiology. According to data from OpenAlex, Keiko Matano has authored 13 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Endocrinology and 4 papers in Epidemiology. Recurrent topics in Keiko Matano's work include Clostridium difficile and Clostridium perfringens research (8 papers), Escherichia coli research studies (8 papers) and Pneumonia and Respiratory Infections (3 papers). Keiko Matano is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (8 papers), Escherichia coli research studies (8 papers) and Pneumonia and Respiratory Infections (3 papers). Keiko Matano collaborates with scholars based in Japan and United States. Keiko Matano's co-authors include Kunio Tochikubo, Yoko Yasuda, Masanori Isaka, Tooru Taniguchi, Satoshi Kozuka, Norihisa Goto, Kunio Ohkuma, Jun‐ichi Maeyama, Kazunori Morokuma and Toru Asai and has published in prestigious journals such as Vaccine, Microbiology and Immunology and FEMS Immunology & Medical Microbiology.

In The Last Decade

Keiko Matano

13 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Matano Japan 10 172 110 107 101 75 13 358
Lena Ågren Sweden 8 380 2.2× 149 1.4× 102 1.0× 166 1.6× 75 1.0× 8 528
S Pillai United States 4 279 1.6× 77 0.7× 67 0.6× 72 0.7× 54 0.7× 5 418
Rafaela Giemza United Kingdom 8 242 1.4× 79 0.7× 161 1.5× 216 2.1× 87 1.2× 9 521
G.J.M. van Scharrenburg Netherlands 7 193 1.1× 56 0.5× 240 2.2× 198 2.0× 95 1.3× 10 482
Erfan Mansouri Germany 8 116 0.7× 77 0.7× 62 0.6× 101 1.0× 136 1.8× 11 429
Kazutoshi Matsuo Japan 12 309 1.8× 62 0.6× 453 4.2× 131 1.3× 69 0.9× 22 694
Jianmei Yu United States 12 304 1.8× 77 0.7× 100 0.9× 116 1.1× 104 1.4× 13 557
Óliver Pérez Cuba 11 156 0.9× 117 1.1× 96 0.9× 57 0.6× 86 1.1× 30 357
L.D. Lise United States 5 249 1.4× 33 0.3× 107 1.0× 65 0.6× 111 1.5× 5 419
Sally Hopkins Switzerland 7 152 0.9× 67 0.6× 78 0.7× 153 1.5× 40 0.5× 7 374

Countries citing papers authored by Keiko Matano

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Matano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Matano

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

All Works

13 of 13 papers shown
4.
Isaka, Masanori, Yoko Yasuda, Tooru Taniguchi, et al.. (2003). Mucosal and systemic antibody responses against an acellular pertussis vaccine in mice after intranasal co-administration with recombinant cholera toxin B subunit as an adjuvant. Vaccine. 21(11-12). 1165–1173. 23 indexed citations
5.
Maeyama, Jun‐ichi, Masanori Isaka, Yoko Yasuda, et al.. (2002). Effects of Recombinant Cholera Toxin B Subunit on IL‐1β Production by Macrophages In Vitro. Microbiology and Immunology. 46(9). 593–599. 8 indexed citations
6.
Isaka, Masanori, Yoko Yasuda, Masashi Mizokami, et al.. (2001). Mucosal immunization against hepatitis B virus by intranasal co-administration of recombinant hepatitis B surface antigen and recombinant cholera toxin B subunit as an adjuvant. Vaccine. 19(11-12). 1460–1466. 69 indexed citations
7.
Maeyama, Jun‐ichi, Masanori Isaka, Yoko Yasuda, et al.. (2001). Cytokine Responses to Recombinant Cholera Toxin B Subunit Produced by Bacillus brevis as a Mucosal Adjuvant. Microbiology and Immunology. 45(2). 111–117. 17 indexed citations
9.
Goto, Norihisa, Jun‐ichi Maeyama, Yoko Yasuda, et al.. (2000). Safety evaluation of recombinant cholera toxin B subunit produced by Bacillus brevis as a mucosal adjuvant. Vaccine. 18(20). 2164–2171. 34 indexed citations
10.
12.
Tochikubo, Kunio, Masanori Isaka, Yoko Yasuda, et al.. (1998). Recombinant cholera toxin B subunit acts as an adjuvant for the mucosal and systemic responses of mice to mucosally co-administered bovine serum albumin. Vaccine. 16(2-3). 150–155. 71 indexed citations
13.
Yasuda, Yoko, Keiko Matano, Toru Asai, & Kunio Tochikubo. (1998). Affinity purification of recombinant cholera toxin B subunit oligomer expressed inBacillus brevisfor potential human use as a mucosal adjuvant. FEMS Immunology & Medical Microbiology. 20(4). 311–318. 28 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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