Nobuyoshi Hasebe

19 total papers · 493 total citations
12 papers, 413 citations indexed

About

Nobuyoshi Hasebe is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Nobuyoshi Hasebe has authored 12 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Nobuyoshi Hasebe's work include Cannabis and Cannabinoid Research (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Nobuyoshi Hasebe is often cited by papers focused on Cannabis and Cannabinoid Research (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Nobuyoshi Hasebe collaborates with scholars based in Japan and United Kingdom. Nobuyoshi Hasebe's co-authors include Kohji Abe, Kenichi Mishima, Katsunori Iwasaki, Nobuaki Egashira, Michihiro Fujiwara, Kazuhide Hayakawa, Masanori Nozako, Megumi Kimura, Mai Hazekawa and Masayuki Fujioka and has published in prestigious journals such as Journal of Neurochemistry, British Journal of Pharmacology and Psychopharmacology.

In The Last Decade

Nobuyoshi Hasebe

12 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Nobuyoshi Hasebe 289 167 67 67 42 12 413
Jéssica Mendes Bonato 212 0.7× 148 0.9× 87 1.3× 67 1.0× 33 0.8× 12 479
Maha M. ElBatsh 130 0.4× 91 0.5× 90 1.3× 23 0.3× 30 0.7× 13 392
Annick Ménétrey 288 1.0× 53 0.3× 45 0.7× 29 0.4× 27 0.6× 25 427
Lia Vorobiev 195 0.7× 97 0.6× 57 0.9× 82 1.2× 33 0.8× 11 413
U Wurster 312 1.1× 230 1.4× 34 0.5× 50 0.7× 17 0.4× 10 493
Cüneyt Ünsal 68 0.2× 94 0.6× 69 1.0× 39 0.6× 26 0.6× 17 486
Peimin Lu 193 0.7× 159 1.0× 113 1.7× 65 1.0× 15 0.4× 14 485
Chaichan Sangdee 142 0.5× 83 0.5× 99 1.5× 45 0.7× 28 0.7× 28 480
Barbara Kranner 162 0.6× 138 0.8× 83 1.2× 25 0.4× 71 1.7× 15 381
Mouza Al Ameri 173 0.6× 128 0.8× 75 1.1× 51 0.8× 67 1.6× 16 459

Countries citing papers authored by Nobuyoshi Hasebe

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyoshi Hasebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuyoshi Hasebe

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