Masatoshi Saikawa

92 total papers · 741 total citations
70 papers, 539 citations indexed

About

Masatoshi Saikawa is a scholar working on Cell Biology, Plant Science and Molecular Biology. According to data from OpenAlex, Masatoshi Saikawa has authored 70 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cell Biology, 45 papers in Plant Science and 21 papers in Molecular Biology. Recurrent topics in Masatoshi Saikawa's work include Plant Pathogens and Fungal Diseases (45 papers), Mycorrhizal Fungi and Plant Interactions (25 papers) and Nematode management and characterization studies (19 papers). Masatoshi Saikawa is often cited by papers focused on Plant Pathogens and Fungal Diseases (45 papers), Mycorrhizal Fungi and Plant Interactions (25 papers) and Nematode management and characterization studies (19 papers). Masatoshi Saikawa collaborates with scholars based in Japan, Belgium and Cuba. Masatoshi Saikawa's co-authors include Yuuhiko Tanabe, Junta Sugiyama, Rafael F. Castañeda-Ruíz, Makoto M. Watanabe, Gabriela Heredia, Kerry O’Donnell, Marc Stadler, George Barron, Josep Guarro and Hiroki Sato and has published in prestigious journals such as Molecular Phylogenetics and Evolution, Mycologia and Mycotaxon.

In The Last Decade

Masatoshi Saikawa

67 papers receiving 491 citations

Author Peers

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

Author						Papers	Cites
Masatoshi Saikawa	418	360	137	120	89	70	539
Yousuke Degawa	408 1.0×	319 0.9×	186 1.4×	157 1.3×	70 0.8×	81	587
Charles Drechsler	309 0.7×	274 0.8×	71 0.5×	78 0.7×	93 1.0×	61	573
John S. Karling	300 0.7×	220 0.6×	217 1.6×	119 1.0×	32 0.4×	64	507
Terrence M. Hammill	356 0.9×	259 0.7×	109 0.8×	143 1.2×	27 0.3×	33	459
Wenping Wu	349 0.8×	313 0.9×	173 1.3×	114 0.9×	12 0.1×	36	535
S. H. Iqbal	252 0.6×	292 0.8×	92 0.7×	131 1.1×	32 0.4×	53	522
Markus Scholler	400 1.0×	260 0.7×	256 1.9×	80 0.7×	65 0.7×	46	466
Emma Zavaleta-Mejía	527 1.3×	151 0.4×	63 0.5×	36 0.3×	92 1.0×	88	602
M. P. Backus	270 0.6×	250 0.7×	139 1.0×	103 0.9×	16 0.2×	32	447
Petr Sedlák	435 1.0×	118 0.3×	82 0.6×	110 0.9×	156 1.8×	45	513

Countries citing papers authored by Masatoshi Saikawa

Since Specialization

Citations

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

Fields of papers citing papers by Masatoshi Saikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Saikawa

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