Reika Wate

35 total papers · 946 total citations
27 papers, 706 citations indexed

About

Reika Wate is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Reika Wate has authored 27 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 13 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Reika Wate's work include Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Reika Wate is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Reika Wate collaborates with scholars based in Japan, United States and China. Reika Wate's co-authors include Hirofumi Kusaka, Hidefumi Ito, Satoshi Nakano, Satoshi Kaneko, Masataka Nakamura, Kengo Fujita, Asao Hirano, Yoshimi Kinoshita, Hisashi Ito and Hideshi Kawakami and has published in prestigious journals such as Neurology, Brain Research and Experimental Neurology.

In The Last Decade

Reika Wate

27 papers receiving 697 citations

Author Peers

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

Author						Papers	Cites
Reika Wate	530	318	264	133	110	27	706
Jakub Scaber	521 1.0×	341 1.1×	294 1.1×	136 1.0×	122 1.1×	21	763
Rubika Balendra	602 1.1×	353 1.1×	330 1.3×	115 0.9×	87 0.8×	16	831
Javier H. Jara	433 0.8×	249 0.8×	271 1.0×	174 1.3×	139 1.3×	15	675
Jenna M. Gregory	464 0.9×	344 1.1×	227 0.9×	99 0.7×	113 1.0×	38	730
Loren L. Flynn	484 0.9×	332 1.0×	288 1.1×	89 0.7×	109 1.0×	14	678
Alice Brockington	379 0.7×	223 0.7×	219 0.8×	149 1.1×	96 0.9×	14	668
Mito Shiote	411 0.8×	216 0.7×	276 1.0×	198 1.5×	86 0.8×	21	643
Omar Dabbagh	479 0.9×	254 0.8×	287 1.1×	151 1.1×	149 1.4×	19	735
Elizabeth C. Lopes	432 0.8×	251 0.8×	247 0.9×	211 1.6×	84 0.8×	17	680
Martine Therrien	317 0.6×	355 1.1×	223 0.8×	183 1.4×	99 0.9×	17	806

Countries citing papers authored by Reika Wate

Since Specialization

Citations

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

Fields of papers citing papers by Reika Wate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reika Wate

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