Ryoji Nishimura

66 total papers · 1.4k total citations
41 papers, 1.2k citations indexed

About

Ryoji Nishimura is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Clinical Psychology. According to data from OpenAlex, Ryoji Nishimura has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Pharmacology and 9 papers in Clinical Psychology. Recurrent topics in Ryoji Nishimura's work include Neurotransmitter Receptor Influence on Behavior (10 papers), Alkaloids: synthesis and pharmacology (9 papers) and Obsessive-Compulsive Spectrum Disorders (6 papers). Ryoji Nishimura is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (10 papers), Alkaloids: synthesis and pharmacology (9 papers) and Obsessive-Compulsive Spectrum Disorders (6 papers). Ryoji Nishimura collaborates with scholars based in Japan, United States and South Korea. Ryoji Nishimura's co-authors include Katsunori Iwasaki, Michihiro Fujiwara, Kenichi Mishima, Nobuaki Egashira, Naoki Uchida, Ryozo Oishi, Ryoko Okuno, Kotaro Takasaki, Satoko Harada and Kazunori Sano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Neuropsychopharmacology.

In The Last Decade

Ryoji Nishimura

40 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Ryoji Nishimura	410	376	222	213	195	41	1.2k
Jibran Y. Khokhar	314 0.8×	228 0.6×	185 0.8×	119 0.6×	122 0.6×	75	1.1k
Godfried M.J. Van Kempen	437 1.1×	141 0.4×	311 1.4×	83 0.4×	304 1.6×	56	1.3k
Lionella Palego	294 0.7×	176 0.5×	310 1.4×	52 0.2×	157 0.8×	82	1.3k
David M. Penetar	284 0.7×	391 1.0×	174 0.8×	42 0.2×	112 0.6×	50	1.3k
Tongtong Ge	251 0.6×	215 0.6×	291 1.3×	61 0.3×	77 0.4×	27	1.3k
Helena Maria Calil	303 0.7×	217 0.6×	133 0.6×	42 0.2×	271 1.4×	59	1.4k
Bingjin Li	265 0.6×	151 0.4×	392 1.8×	50 0.2×	148 0.8×	42	1.5k
Dongfeng Zhou	195 0.5×	101 0.3×	239 1.1×	186 0.9×	96 0.5×	39	1000
Esa Meririnne	391 1.0×	171 0.5×	314 1.4×	66 0.3×	122 0.6×	23	1.2k
Gregory C. Janis	551 1.3×	142 0.4×	275 1.2×	94 0.4×	99 0.5×	29	1.2k

Countries citing papers authored by Ryoji Nishimura

Since Specialization

Citations

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

Fields of papers citing papers by Ryoji Nishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoji Nishimura

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