Takehiro Hagiwara

11 total papers · 688 total citations
9 papers, 566 citations indexed

About

Takehiro Hagiwara is a scholar working on Molecular Biology, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takehiro Hagiwara has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takehiro Hagiwara's work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cancer therapeutics and mechanisms (3 papers). Takehiro Hagiwara is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cancer therapeutics and mechanisms (3 papers). Takehiro Hagiwara collaborates with scholars based in Japan, United States and New Zealand. Takehiro Hagiwara's co-authors include Kiyoshi Takasuna, Masaaki Hirohashi, Mamoru Nomura, Eiichi Nagai, Michiyuki Kato, Tsuyoshi Yokoi, Tetsuya Kamataki, Tetsuya Kamataki, Yoshio Kasai and Yutaka Kitano and has published in prestigious journals such as European Journal of Pharmacology, Cancer Chemotherapy and Pharmacology and The Japanese Journal of Pharmacology.

In The Last Decade

Takehiro Hagiwara

9 papers receiving 556 citations

Author Peers

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

Author						Papers	Cites
Takehiro Hagiwara	422	292	88	85	63	9	566
Joachim Schuhmacher	241 0.6×	166 0.6×	70 0.8×	58 0.7×	43 0.7×	15	651
B Brennan	108 0.3×	152 0.5×	73 0.8×	51 0.6×	41 0.7×	14	573
Elliott P. Dawson	217 0.5×	80 0.3×	69 0.8×	36 0.4×	67 1.1×	11	640
Anne Wu	206 0.5×	78 0.3×	56 0.6×	131 1.5×	38 0.6×	19	647
Hongsheng Lin	335 0.8×	147 0.5×	91 1.0×	115 1.4×	12 0.2×	26	689
Mark Wirth	190 0.5×	124 0.4×	138 1.6×	44 0.5×	13 0.2×	9	662
Diederik F.S. Kehrer	435 1.0×	429 1.5×	79 0.9×	72 0.8×	5 0.1×	14	620
Mark Allison	170 0.4×	137 0.5×	21 0.2×	65 0.8×	25 0.4×	13	513
Bing Dai	288 0.7×	152 0.5×	45 0.5×	22 0.3×	14 0.2×	15	548
Phillip Shepherd	179 0.4×	49 0.2×	70 0.8×	53 0.6×	29 0.5×	14	594

Countries citing papers authored by Takehiro Hagiwara

Since Specialization

Citations

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

Fields of papers citing papers by Takehiro Hagiwara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Hagiwara

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