Mayako Asakawa

13 total papers · 963 total citations
11 papers, 836 citations indexed

About

Mayako Asakawa is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mayako Asakawa has authored 11 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Mayako Asakawa's work include Cytokine Signaling Pathways and Interactions (5 papers), Pharmacological Effects of Natural Compounds (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Mayako Asakawa is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), Pharmacological Effects of Natural Compounds (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Mayako Asakawa collaborates with scholars based in Japan, China and United States. Mayako Asakawa's co-authors include Akihiko Yoshimura, Rimpei Morita, Takashi Sekiya, Go Muto, Reiko Takahashi, Hideyuki Yoshida, Y. Toyama, Masaoki Kawasumi, Takashi Kobayashi and Hideo Morioka and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Mayako Asakawa

11 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
Mayako Asakawa 484 263 258 95 89 11 836
Mika Nishihara 521 1.1× 245 0.9× 286 1.1× 61 0.6× 123 1.4× 9 988
Taras T. Antoniv 551 1.1× 290 1.1× 348 1.3× 119 1.3× 133 1.5× 14 1.0k
Thi Migone 595 1.2× 209 0.8× 141 0.5× 67 0.7× 129 1.4× 13 894
Nilesh Amatya 559 1.2× 177 0.7× 281 1.1× 151 1.6× 71 0.8× 11 996
Ji‐Hyeon Ju 318 0.7× 185 0.7× 209 0.8× 79 0.8× 171 1.9× 23 727
Sylva Haralambous 349 0.7× 177 0.7× 258 1.0× 96 1.0× 190 2.1× 19 940
Artem Laktyushin 401 0.8× 496 1.9× 311 1.2× 92 1.0× 43 0.5× 11 857
Nicole Voltz 478 1.0× 529 2.0× 236 0.9× 110 1.2× 57 0.6× 11 962
Christopher Chang 580 1.2× 136 0.5× 262 1.0× 95 1.0× 99 1.1× 12 916
Yeny Martinez de la Torre 724 1.5× 225 0.9× 299 1.2× 98 1.0× 68 0.8× 11 1.0k

Countries citing papers authored by Mayako Asakawa

Since Specialization
Citations

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

Fields of papers citing papers by Mayako Asakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayako Asakawa

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