Masato Sawada

55 total papers · 1.2k total citations
35 papers, 793 citations indexed

About

Masato Sawada is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Masato Sawada has authored 35 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Developmental Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Masato Sawada's work include Neurogenesis and neuroplasticity mechanisms (22 papers), Nerve injury and regeneration (11 papers) and Axon Guidance and Neuronal Signaling (7 papers). Masato Sawada is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (22 papers), Nerve injury and regeneration (11 papers) and Axon Guidance and Neuronal Signaling (7 papers). Masato Sawada collaborates with scholars based in Japan, Spain and China. Masato Sawada's co-authors include Kazunobu Sawamoto, Naoko Kaneko, Mami Matsumoto, Takao Hikita, Shinji Saitoh, Yasuhiko Tabata, José Manuel García‐Verdugo, Vicente Herranz‐Pérez, Itsuki Ajioka and Shinya Ohata and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Masato Sawada

32 papers receiving 791 citations

Author Peers

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

Author						Papers	Cites
Masato Sawada	378	331	324	129	105	35	793
B Carletti	398 1.1×	422 1.3×	342 1.1×	163 1.3×	81 0.8×	29	765
Ketty Leto	331 0.9×	493 1.5×	335 1.0×	171 1.3×	141 1.3×	23	873
Federico Luzzati	472 1.2×	300 0.9×	293 0.9×	139 1.1×	76 0.7×	19	819
Sturrock Rr	362 1.0×	303 0.9×	315 1.0×	268 2.1×	63 0.6×	52	884
Giovanna Ponti	476 1.3×	310 0.9×	225 0.7×	132 1.0×	62 0.6×	29	834
Benjamin Lacar	378 1.0×	465 1.4×	298 0.9×	224 1.7×	51 0.5×	19	853
Vilma Spreuer	322 0.9×	316 1.0×	314 1.0×	185 1.4×	35 0.3×	18	737
Valérie Coronas	262 0.7×	355 1.1×	387 1.2×	79 0.6×	54 0.5×	31	871
Robert D. Beech	391 1.0×	391 1.2×	295 0.9×	113 0.9×	36 0.3×	18	826
Sandrine Vitry	252 0.7×	316 1.0×	161 0.5×	140 1.1×	181 1.7×	27	873

Countries citing papers authored by Masato Sawada

Since Specialization

Citations

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

Fields of papers citing papers by Masato Sawada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Sawada

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