Mikio Ikeda

13 total papers · 506 total citations
13 papers, 399 citations indexed

About

Mikio Ikeda is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Mikio Ikeda has authored 13 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Mikio Ikeda's work include T-cell and Retrovirus Studies (5 papers), Vector-Borne Animal Diseases (4 papers) and Animal Disease Management and Epidemiology (4 papers). Mikio Ikeda is often cited by papers focused on T-cell and Retrovirus Studies (5 papers), Vector-Borne Animal Diseases (4 papers) and Animal Disease Management and Epidemiology (4 papers). Mikio Ikeda collaborates with scholars based in Japan, Cameroon and Belgium. Mikio Ikeda's co-authors include Joko Imai, Tsutomu Yoshida, Toshio Matsui, Haruko Komoda, Masanori Hayami, Tomoyuki Miura, Innocent Mboudjeka, Jun Takehisa, Shinzo Izumi and Tsuyoshi Fujiwara and has published in prestigious journals such as Journal of Virology, Journal of Clinical Microbiology and Archives of Virology.

In The Last Decade

Mikio Ikeda

13 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
Mikio Ikeda 245 202 174 96 96 13 399
Amane Sasada 283 1.2× 154 0.8× 149 0.9× 155 1.6× 68 0.7× 12 427
Jocelyn Turpin 306 1.2× 170 0.8× 146 0.8× 147 1.5× 75 0.8× 22 437
F. Pelloquin 216 0.9× 177 0.9× 160 0.9× 51 0.5× 67 0.7× 9 387
C Roberts 220 0.9× 183 0.9× 132 0.8× 40 0.4× 39 0.4× 14 354
H. Vogt 70 0.3× 280 1.4× 179 1.0× 108 1.1× 95 1.0× 16 426
Ester Teresa González 196 0.8× 190 0.9× 147 0.8× 23 0.2× 18 0.2× 19 334
E. Ruíz-Villamor 53 0.2× 292 1.4× 201 1.2× 44 0.5× 138 1.4× 21 434
Giovanni López 216 0.9× 112 0.6× 81 0.5× 9 0.1× 41 0.4× 24 343
Maria G. Ferrari 247 1.0× 71 0.4× 64 0.4× 174 1.8× 75 0.8× 12 384
R. Wash 160 0.7× 146 0.7× 141 0.8× 33 0.3× 206 2.1× 12 395

Countries citing papers authored by Mikio Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Mikio Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikio Ikeda

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