Masaaki Azuma

64 total papers · 1.1k total citations
46 papers, 886 citations indexed

About

Masaaki Azuma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Insect Science. According to data from OpenAlex, Masaaki Azuma has authored 46 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 22 papers in Molecular Biology and 22 papers in Insect Science. Recurrent topics in Masaaki Azuma's work include Neurobiology and Insect Physiology Research (23 papers), Physiological and biochemical adaptations (13 papers) and Insect Resistance and Genetics (12 papers). Masaaki Azuma is often cited by papers focused on Neurobiology and Insect Physiology Research (23 papers), Physiological and biochemical adaptations (13 papers) and Insect Resistance and Genetics (12 papers). Masaaki Azuma collaborates with scholars based in Japan, United States and Germany. Masaaki Azuma's co-authors include Seiji Miyake, Helmut Wieczorek, William R. Harvey, Masaharu Eguchi, Naoya Kataoka, Toshinobu Yaginuma, Teruyuki Niimi, Kanako Mitsumasu, Okitsugu Yamashita and Alexandra Lepier and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and FEBS Letters.

In The Last Decade

Masaaki Azuma

44 papers receiving 869 citations

Author Peers

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

Author						Papers	Cites
Masaaki Azuma	464	390	339	231	170	46	886
Jun Terashima	293 0.6×	221 0.6×	314 0.9×	101 0.4×	221 1.3×	30	887
Bimalendu B. Nath	287 0.6×	263 0.7×	168 0.5×	226 1.0×	159 0.9×	47	814
Masaharu Eguchi	543 1.2×	582 1.5×	192 0.6×	87 0.4×	68 0.4×	75	946
P Brunet	212 0.5×	380 1.0×	330 1.0×	83 0.4×	341 2.0×	40	1.0k
Victor J. Brookes	294 0.6×	291 0.7×	324 1.0×	98 0.4×	242 1.4×	28	764
Sang Mong Lee	389 0.8×	244 0.6×	105 0.3×	72 0.3×	157 0.9×	37	729
Kate M. Baldwin	407 0.9×	242 0.6×	145 0.4×	66 0.3×	211 1.2×	20	734
Deborah K. Hoshizaki	393 0.8×	223 0.6×	326 1.0×	131 0.6×	134 0.8×	28	901
Keiko Takaki	245 0.5×	316 0.8×	505 1.5×	112 0.5×	338 2.0×	23	894
Arthur M. Jungreis	187 0.4×	276 0.7×	369 1.1×	286 1.2×	99 0.6×	39	709

Countries citing papers authored by Masaaki Azuma

Since Specialization

Citations

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

Fields of papers citing papers by Masaaki Azuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Azuma

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