T Matsubara

46 total papers · 548 total citations
32 papers, 448 citations indexed

About

T Matsubara is a scholar working on Pharmacology, Molecular Medicine and Molecular Biology. According to data from OpenAlex, T Matsubara has authored 32 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 11 papers in Molecular Medicine and 8 papers in Molecular Biology. Recurrent topics in T Matsubara's work include Antibiotic Resistance in Bacteria (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Blood disorders and treatments (3 papers). T Matsubara is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Blood disorders and treatments (3 papers). T Matsubara collaborates with scholars based in Japan. T Matsubara's co-authors include Minoru Nishida, YASUHIRO MINE, Shōgo Kuwahara, Sachiko Gotô, Takeo Murakawa, Yoshiko Yokota, Naoaki Watanabe, Kosaku Mizuno, R Saura and Y Mine and has published in prestigious journals such as Biochemical Pharmacology, The Journal of Antibiotics and Chemotherapy.

In The Last Decade

T Matsubara

31 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
T Matsubara 196 156 115 78 51 32 448
Makoto Kida 165 0.8× 240 1.5× 110 1.0× 36 0.5× 62 1.2× 36 455
P. Bronwen Loder 130 0.7× 158 1.0× 40 0.3× 44 0.6× 38 0.7× 19 497
Kerri M. Smith 121 0.6× 211 1.4× 198 1.7× 49 0.6× 48 0.9× 18 484
G. Beskid 218 1.1× 186 1.2× 184 1.6× 81 1.0× 94 1.8× 35 528
Arthur K. Saz 97 0.5× 167 1.1× 83 0.7× 35 0.4× 21 0.4× 28 461
MICHAEL J. BASKER 274 1.4× 123 0.8× 245 2.1× 89 1.1× 117 2.3× 35 501
S. B. Zimmerman 307 1.6× 269 1.7× 161 1.4× 36 0.5× 137 2.7× 18 545
Emilio Lence 81 0.4× 247 1.6× 130 1.1× 49 0.6× 143 2.8× 46 467
A Yotsuji 221 1.1× 130 0.8× 316 2.7× 87 1.1× 33 0.6× 20 471
J. I. CIALDELLA 169 0.9× 265 1.7× 38 0.3× 37 0.5× 156 3.1× 31 484

Countries citing papers authored by T Matsubara

Since Specialization
Citations

This map shows the geographic impact of T Matsubara'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 T Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Matsubara more than expected).

Fields of papers citing papers by T Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Matsubara

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