Masaaki Sawada

59 total papers · 1.2k total citations
36 papers, 975 citations indexed

About

Masaaki Sawada is a scholar working on Insect Science, Health, Toxicology and Mutagenesis and Ecology. According to data from OpenAlex, Masaaki Sawada has authored 36 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Insect Science, 9 papers in Health, Toxicology and Mutagenesis and 8 papers in Ecology. Recurrent topics in Masaaki Sawada's work include Environmental Toxicology and Ecotoxicology (8 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers) and Entomopathogenic Microorganisms in Pest Control (6 papers). Masaaki Sawada is often cited by papers focused on Environmental Toxicology and Ecotoxicology (8 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers) and Entomopathogenic Microorganisms in Pest Control (6 papers). Masaaki Sawada collaborates with scholars based in Japan, Canada and United States. Masaaki Sawada's co-authors include John C. Carlson, Makoto Hasegawa, Mikio Ono, Walter Soares Leal, Walter Leal Filho, Hildegard E. Enesco, John C. Carlson, Yasumasa KUWAHARA, Shigeru Matsuyama and Tadashi Kimura and has published in prestigious journals such as Free Radical Biology and Medicine, Endocrinology and Journal of Cellular Biochemistry.

In The Last Decade

Masaaki Sawada

36 papers receiving 941 citations

Author Peers

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

Author						Papers	Cites
Masaaki Sawada	194	192	169	147	124	36	975
Emma Roberts	174 0.9×	96 0.5×	95 0.6×	177 1.2×	92 0.7×	44	1.2k
W. H. McShan	191 1.0×	127 0.7×	111 0.7×	224 1.5×	91 0.7×	62	1.0k
Štefan Číkoš	420 2.2×	62 0.3×	70 0.4×	74 0.5×	47 0.4×	54	1.2k
Marie‐Pierre Dubos	277 1.4×	37 0.2×	46 0.3×	51 0.3×	60 0.5×	25	807
Bernard V. McInerney	319 1.6×	187 1.0×	39 0.2×	47 0.3×	32 0.3×	20	879
Andrzej Sechman	188 1.0×	27 0.1×	83 0.5×	116 0.8×	40 0.3×	94	1.2k
Deying Yang	533 2.7×	77 0.4×	151 0.9×	23 0.2×	54 0.4×	65	1.1k
R.P. Moudgal	156 0.8×	46 0.2×	127 0.8×	42 0.3×	15 0.1×	42	843
Patrícia Fernanda Felipe Pinheiro	200 1.0×	59 0.3×	98 0.6×	22 0.1×	23 0.2×	65	866
Yang Guo	610 3.1×	59 0.3×	56 0.3×	46 0.3×	26 0.2×	43	1.1k

Countries citing papers authored by Masaaki Sawada

Since Specialization

Citations

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

Fields of papers citing papers by Masaaki Sawada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Sawada

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