Takehiro Hashimoto

65 total papers · 4.2k total citations
37 papers, 514 citations indexed

About

Takehiro Hashimoto is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Takehiro Hashimoto has authored 37 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Epidemiology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Takehiro Hashimoto's work include Viral Infections and Vectors (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Takehiro Hashimoto is often cited by papers focused on Viral Infections and Vectors (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Takehiro Hashimoto collaborates with scholars based in Japan, United States and Bangladesh. Takehiro Hashimoto's co-authors include Carsten O. Daub, Yukari Takahashi, Jun Yasuda, Alistair R. R. Forrest, Emi Maeno, Geoffrey J. Faulkner, Yoshihide Hayashizaki, Michiel de Hoon, Norio Ohmagari and Mitsuoki Kawano and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome Research.

In The Last Decade

Takehiro Hashimoto

29 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
Takehiro Hashimoto	307	233	84	70	57	37	514
Zhijun Zhang	306 1.0×	206 0.9×	69 0.8×	49 0.7×	61 1.1×	37	527
Yunkai Yang	250 0.8×	80 0.3×	76 0.9×	105 1.5×	63 1.1×	43	555
Yong Li	229 0.7×	115 0.5×	30 0.4×	156 2.2×	91 1.6×	40	569
Chi‐Ching Lee	332 1.1×	151 0.6×	35 0.4×	31 0.4×	48 0.8×	40	535
Ramneek Verma	280 0.9×	186 0.8×	36 0.4×	28 0.4×	60 1.1×	45	490
Farshid Yeganeh	191 0.6×	97 0.4×	150 1.8×	57 0.8×	92 1.6×	46	542
Nicole Barat	152 0.5×	69 0.3×	74 0.9×	195 2.8×	93 1.6×	28	580
Jingyun Xu	334 1.1×	267 1.1×	21 0.3×	66 0.9×	61 1.1×	41	600
Anamika Thakur	364 1.2×	80 0.3×	44 0.5×	76 1.1×	73 1.3×	43	611
Ke Wei	241 0.8×	106 0.5×	51 0.6×	31 0.4×	49 0.9×	29	509

Countries citing papers authored by Takehiro Hashimoto

Since Specialization

Citations

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

Fields of papers citing papers by Takehiro Hashimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Hashimoto

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