Masahisa Hashimoto

73 total papers · 834 total citations
58 papers, 700 citations indexed

About

Masahisa Hashimoto is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Masahisa Hashimoto has authored 58 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Pharmacology and 12 papers in Organic Chemistry. Recurrent topics in Masahisa Hashimoto's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Masahisa Hashimoto is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Masahisa Hashimoto collaborates with scholars based in Japan and United States. Masahisa Hashimoto's co-authors include Hisashi Miyazaki, Satoshi Arakawa, Shigeru Kurooka, Yutaka Sekine, Toshikazu Yamaguchi, Toshihiko Fujii, Kōji Yoshida, Kiyoshi Nakamura, Reiko Nakamura and Kensuke Namba and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Chromatography A and Biochemical Pharmacology.

In The Last Decade

Masahisa Hashimoto

57 papers receiving 631 citations

Author Peers

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

Author						Papers	Cites
Masahisa Hashimoto	292	119	109	106	102	58	700
Phillip A. Reece	248 0.8×	106 0.9×	165 1.5×	61 0.6×	96 0.9×	36	887
Bernard E. Cabana	200 0.7×	175 1.5×	77 0.7×	80 0.8×	95 0.9×	42	873
Hideyo Noguchi	191 0.7×	165 1.4×	88 0.8×	143 1.3×	128 1.3×	56	779
Jyoti Paliwal	210 0.7×	134 1.1×	88 0.8×	119 1.1×	149 1.5×	67	881
J. D. Baty	241 0.8×	89 0.7×	99 0.9×	216 2.0×	131 1.3×	56	844
Linyee Shum	270 0.9×	91 0.8×	57 0.5×	82 0.8×	101 1.0×	23	780
Yoji Tokuma	193 0.7×	140 1.2×	175 1.6×	158 1.5×	214 2.1×	49	795
Tae‐Sung Koo	226 0.8×	84 0.7×	95 0.9×	59 0.6×	34 0.3×	59	691
Alan P. Breau	207 0.7×	240 2.0×	57 0.5×	91 0.9×	118 1.2×	31	641
Mario Eandi	201 0.7×	124 1.0×	131 1.2×	86 0.8×	68 0.7×	56	885

Countries citing papers authored by Masahisa Hashimoto

Since Specialization

Citations

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

Fields of papers citing papers by Masahisa Hashimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahisa Hashimoto

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