Masanari Ikedo

42 total papers · 1.1k total citations
36 papers, 900 citations indexed

About

Masanari Ikedo is a scholar working on Endocrinology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Masanari Ikedo has authored 36 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, 14 papers in Biomedical Engineering and 12 papers in Molecular Biology. Recurrent topics in Masanari Ikedo's work include Biosensors and Analytical Detection (14 papers), Legionella and Acanthamoeba research (9 papers) and Salmonella and Campylobacter epidemiology (7 papers). Masanari Ikedo is often cited by papers focused on Biosensors and Analytical Detection (14 papers), Legionella and Acanthamoeba research (9 papers) and Salmonella and Campylobacter epidemiology (7 papers). Masanari Ikedo collaborates with scholars based in Japan, Thailand and United States. Masanari Ikedo's co-authors include Tadashi Kojima, Yukiko Hara‐Kudo, Eiko Yabuuchi, Takayuki Ezaki, Hiroyuki Yamamoto, Hirotaka KONUMA, Kosuke Takatori, Kayoko Ohtsuka, Kazuo Kobayashi and Minoru Sugiura and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and International Journal of Food Microbiology.

In The Last Decade

Masanari Ikedo

35 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
Masanari Ikedo 407 368 349 280 125 36 900
Jiehong Fang 298 0.7× 383 1.0× 119 0.3× 172 0.6× 93 0.7× 33 823
Boyang Cao 150 0.4× 315 0.9× 466 1.3× 196 0.7× 122 1.0× 56 1.0k
Alba Pérez‐Cataluña 229 0.6× 307 0.8× 134 0.4× 284 1.0× 61 0.5× 42 1.0k
Zhaohuan Zhang 245 0.6× 447 1.2× 358 1.0× 238 0.8× 230 1.8× 51 958
Mariana Fittipaldi 91 0.2× 237 0.6× 225 0.6× 157 0.6× 32 0.3× 21 742
A. N. Sharpe 226 0.6× 187 0.5× 164 0.5× 379 1.4× 24 0.2× 64 929
Kanji Sugiyama 72 0.2× 154 0.4× 458 1.3× 236 0.8× 158 1.3× 27 737
Mesrop Ayrapetyan 73 0.2× 349 0.9× 387 1.1× 153 0.5× 133 1.1× 15 873
Magdalena Kostrzynska 93 0.2× 320 0.9× 131 0.4× 219 0.8× 74 0.6× 20 760
Mohammad Sadekuzzaman 68 0.2× 363 1.0× 130 0.4× 295 1.1× 67 0.5× 22 856

Countries citing papers authored by Masanari Ikedo

Since Specialization
Citations

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

Fields of papers citing papers by Masanari Ikedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masanari Ikedo

This figure shows the co-authorship network connecting the top 25 collaborators of Masanari Ikedo. A scholar is included among the top collaborators of Masanari Ikedo 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 Masanari Ikedo. Masanari Ikedo 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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2026