Eiko Matsuo

34 total papers · 720 total citations
22 papers, 593 citations indexed

About

Eiko Matsuo is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Eiko Matsuo has authored 22 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 11 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Molecular Biology. Recurrent topics in Eiko Matsuo's work include Vector-Borne Animal Diseases (10 papers), Viral Infections and Vectors (10 papers) and Animal Disease Management and Epidemiology (7 papers). Eiko Matsuo is often cited by papers focused on Vector-Borne Animal Diseases (10 papers), Viral Infections and Vectors (10 papers) and Animal Disease Management and Epidemiology (7 papers). Eiko Matsuo collaborates with scholars based in Japan, United Kingdom and United States. Eiko Matsuo's co-authors include Polly Roy, Cristina Celma, Yoshiharu Matsuura, Junichi KAWANO, Hideki Tani, Kohji Moriishi, Yasumasa Komoda, Arvind H. Patel, Mark Boyce and Corinne Sailleau and has published in prestigious journals such as PLoS ONE, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Eiko Matsuo

22 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Eiko Matsuo	319	258	191	105	78	22	593
Kerstin Tauscher	204 0.6×	181 0.7×	235 1.2×	87 0.8×	82 1.1×	16	536
Shujing Rao	356 1.1×	232 0.9×	131 0.7×	153 1.5×	16 0.2×	16	645
Andreas Gallei	178 0.6×	219 0.8×	321 1.7×	62 0.6×	24 0.3×	12	530
Arabinda Nayak	211 0.7×	73 0.3×	99 0.5×	264 2.5×	30 0.4×	12	642
Shaoxiong Yu	173 0.5×	163 0.6×	310 1.6×	134 1.3×	65 0.8×	16	553
Silvia Gómez-Sebastián	164 0.5×	84 0.3×	112 0.6×	270 2.6×	99 1.3×	26	590
E.R. McKillop	225 0.7×	122 0.5×	61 0.3×	77 0.7×	332 4.3×	17	597
Bernard Couvreur	269 0.8×	227 0.9×	221 1.2×	81 0.8×	80 1.0×	20	590
Zheng Ni	376 1.2×	42 0.2×	131 0.7×	186 1.8×	98 1.3×	45	698
Jennifer Harper	243 0.8×	46 0.2×	74 0.4×	121 1.2×	194 2.5×	28	507

Countries citing papers authored by Eiko Matsuo

Since Specialization

Citations

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

Fields of papers citing papers by Eiko Matsuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Matsuo

This figure shows the co-authorship network connecting the top 25 collaborators of Eiko Matsuo. A scholar is included among the top collaborators of Eiko Matsuo 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 Eiko Matsuo. Eiko Matsuo 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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