M. Sawada

31 total papers · 1.1k total citations
22 papers, 654 citations indexed

About

M. Sawada is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Cancer Research. According to data from OpenAlex, M. Sawada has authored 22 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Electronic, Optical and Magnetic Materials and 5 papers in Cancer Research. Recurrent topics in M. Sawada's work include Carcinogens and Genotoxicity Assessment (4 papers), Synthesis of Organic Compounds (2 papers) and Lipid Membrane Structure and Behavior (2 papers). M. Sawada is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), Synthesis of Organic Compounds (2 papers) and Lipid Membrane Structure and Behavior (2 papers). M. Sawada collaborates with scholars based in Japan, Taiwan and India. M. Sawada's co-authors include Toshio Sofuni, T. Nohmi, Motoi Ishidate, Atsuko Matsuoka, Makoto Hayashi, K. Yoshikawa, Hiroto Yamamoto, N. Ogawa, Akio Fukusho and Morizo Ishidate and has published in prestigious journals such as Macromolecules, Infection and Immunity and Archives of Biochemistry and Biophysics.

In The Last Decade

M. Sawada

17 papers receiving 581 citations

Hit Papers

Primary mutagenicity scre... 1984 2026 1998 2012 1984 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
M. Sawada 231 191 134 133 133 22 654
Jean‐Michel Poul 152 0.7× 238 1.2× 108 0.8× 84 0.6× 86 0.6× 14 725
A. A. Nelson 119 0.5× 125 0.7× 152 1.1× 70 0.5× 37 0.3× 16 681
Jean M. Taylor 107 0.5× 147 0.8× 208 1.6× 72 0.5× 74 0.6× 14 772
Toshiko Hayatsu 368 1.6× 231 1.2× 61 0.5× 208 1.6× 48 0.4× 19 681
D.R. Stoltz 187 0.8× 133 0.7× 241 1.8× 125 0.9× 34 0.3× 30 574
Hirofumi USHIYAMA 252 1.1× 241 1.3× 220 1.6× 129 1.0× 43 0.3× 43 721
Theodore M. Färber 116 0.5× 163 0.9× 48 0.4× 151 1.1× 80 0.6× 27 670
Fernando Jaramillo‐Juárez 137 0.6× 197 1.0× 156 1.2× 48 0.4× 54 0.4× 41 730
Rachid Anane 132 0.6× 158 0.8× 465 3.5× 119 0.9× 87 0.7× 16 759
Sijun Deng 72 0.3× 251 1.3× 164 1.2× 98 0.7× 81 0.6× 23 707

Countries citing papers authored by M. Sawada

Since Specialization
Citations

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

Fields of papers citing papers by M. Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sawada

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