Y Amakata

88 total papers · 469 total citations
40 papers, 341 citations indexed

About

Y Amakata is a scholar working on Surgery, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Y Amakata has authored 40 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Y Amakata's work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). Y Amakata is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). Y Amakata collaborates with scholars based in Japan, United States and Italy. Y Amakata's co-authors include Koji Sumikawa, Keiko Hodohara, T Bamba, Yoshihide Fujiyama, Tomio Okamura, Noboru Toda, Akira Andoh, Toshihiro Maeda, Hideki Hirano and Shuichi Nosaka and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Anesthesiology and Biochemical Pharmacology.

In The Last Decade

Y Amakata

37 papers receiving 331 citations

Author Peers

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

Author						Papers	Cites
Y Amakata	92	82	68	63	54	40	341
Thomas Quentin	102 1.1×	189 2.3×	63 0.9×	24 0.4×	46 0.9×	25	377
Jona Merx	67 0.7×	81 1.0×	47 0.7×	24 0.4×	42 0.8×	32	384
Takashi Kano	41 0.4×	89 1.1×	68 1.0×	32 0.5×	13 0.2×	35	335
Li Li	121 1.3×	131 1.6×	49 0.7×	71 1.1×	13 0.2×	32	389
Roman Pohorecki	165 1.8×	91 1.1×	86 1.3×	19 0.3×	22 0.4×	20	394
Fang Li	148 1.6×	85 1.0×	28 0.4×	31 0.5×	18 0.3×	32	402
Hironori Yuyama	38 0.4×	85 1.0×	42 0.6×	51 0.8×	76 1.4×	28	372
Anna Klukovits	37 0.4×	104 1.3×	60 0.9×	69 1.1×	24 0.4×	18	339
Marina Stojanović	32 0.3×	76 0.9×	57 0.8×	60 1.0×	34 0.6×	29	296
Hakkı Dalçık	63 0.7×	41 0.5×	45 0.7×	43 0.7×	19 0.4×	32	303

Countries citing papers authored by Y Amakata

Since Specialization

Citations

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

Fields of papers citing papers by Y Amakata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Amakata

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