Keiko Matano

15 total papers · 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

Author Peers

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

Author Last Decade Papers Cites
Keiko Matano 172 110 107 101 75 13 358
Christopher J.H. Davitt 127 0.7× 46 0.4× 92 0.9× 97 1.0× 112 1.5× 12 367
M Quiding 221 1.3× 119 1.1× 62 0.6× 97 1.0× 45 0.6× 9 396
Mohammed Yousuf Elahi Chowdhury 141 0.8× 28 0.3× 139 1.3× 129 1.3× 109 1.5× 20 403
Anuj Kalsy 113 0.7× 123 1.1× 85 0.8× 117 1.2× 47 0.6× 13 361
Óliver Pérez 151 0.9× 114 1.0× 83 0.8× 55 0.5× 80 1.1× 29 335
Kaila M. Bennett 165 1.0× 23 0.2× 65 0.6× 77 0.8× 113 1.5× 7 343
Sally Hopkins 151 0.9× 67 0.6× 78 0.7× 153 1.5× 40 0.5× 7 373
Deog Yong Lee 103 0.6× 27 0.2× 39 0.4× 61 0.6× 141 1.9× 15 338
Jen-Min Huang 81 0.5× 34 0.3× 88 0.8× 193 1.9× 129 1.7× 8 393
Gabriela Mellado‐Sánchez 52 0.3× 111 1.0× 44 0.4× 219 2.2× 106 1.4× 23 390

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

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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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