Hideyasu Matsuda

749 total citations
7 papers, 625 citations indexed

About

Hideyasu Matsuda is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Hideyasu Matsuda has authored 7 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Hideyasu Matsuda's work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Aldose Reductase and Taurine (2 papers). Hideyasu Matsuda is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Aldose Reductase and Taurine (2 papers). Hideyasu Matsuda collaborates with scholars based in Japan, Canada and United States. Hideyasu Matsuda's co-authors include Junichi Azuma, Isamu Yamamoto, Masayuki Ii, Arthur P. Wheeler, Gordon R. Bernard, Ignace Demeyer, Jean‐Louis Vincent, Jon Cohen, Naoki Aikawa and Charlie Cao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Critical Care Medicine and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Hideyasu Matsuda

7 papers receiving 620 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hideyasu Matsuda Japan 6 224 179 158 153 105 7 625
Jonathan Q. Tran United States 19 170 0.8× 287 1.6× 154 1.0× 169 1.1× 136 1.3× 43 1.0k
Lu-Wen Wang China 19 124 0.6× 342 1.9× 142 0.9× 267 1.7× 83 0.8× 48 916
Emily O’Neill United States 7 188 0.8× 145 0.8× 115 0.7× 158 1.0× 78 0.7× 13 624
Meaghan E. Killeen United States 12 233 1.0× 159 0.9× 99 0.6× 75 0.5× 57 0.5× 16 631
Xiaoling Wang China 18 112 0.5× 407 2.3× 102 0.6× 126 0.8× 88 0.8× 42 883
Shamail Mahmood United States 5 189 0.8× 318 1.8× 187 1.2× 279 1.8× 37 0.4× 6 762
A. P. Bautista United States 12 217 1.0× 147 0.8× 91 0.6× 132 0.9× 48 0.5× 20 772
Gui‐Zhen Yang China 16 316 1.4× 213 1.2× 56 0.4× 68 0.4× 138 1.3× 38 725
Michio Hara Japan 13 134 0.6× 107 0.6× 68 0.4× 104 0.7× 52 0.5× 22 458
Kyle L. Poulsen United States 16 184 0.8× 257 1.4× 88 0.6× 457 3.0× 87 0.8× 29 878

Countries citing papers authored by Hideyasu Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Hideyasu Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyasu Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyasu Matsuda. A scholar is included among the top collaborators of Hideyasu Matsuda 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 Hideyasu Matsuda. Hideyasu Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Rice, Todd W., Arthur P. Wheeler, Gordon R. Bernard, et al.. (2010). A randomized, double-blind, placebo-controlled trial of TAK-242 for the treatment of severe sepsis*. Critical Care Medicine. 38(8). 1685–1694. 392 indexed citations
2.
Takahashi, Kyôko, et al.. (2003). Modulation of Taurine on CYP3A4 Induction by Rifampicin in a HepG2 Cell Line. Advances in experimental medicine and biology. 526. 237–244. 1 indexed citations
3.
Fukuen, Shuichi, Tsuyoshi Fukuda, Hideyasu Matsuda, et al.. (2002). Identification of the novel splicing variants for the hPXR in human livers. Biochemical and Biophysical Research Communications. 298(3). 433–438. 53 indexed citations
4.
Matsuda, Hideyasu, Koichi Takahashi, Shuichi Fukuen, et al.. (2002). Taurine modulates induction of cytochrome P450 3A4 mRNA by rifampicin in the HepG2 cell line. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1593(1). 93–98. 24 indexed citations
5.
Fukuen, Shuichi, et al.. (2000). Quantitative Analysis of Constitutive and Inducible CYPs mRNA Expression in the HepG2 Cell Line Using Reverse Transcription-Competitive PCR. Biochemical and Biophysical Research Communications. 267(3). 756–760. 55 indexed citations
6.
Fukuda, Tsuyoshi, et al.. (1999). Relationship between mRNA Levels Quantified by Reverse Transcription-Competitive PCR and Metabolic Activity of CYP3A4 and CYP2E1 in Human Liver. Biochemical and Biophysical Research Communications. 262(2). 499–503. 75 indexed citations
7.
Tani, Katsuji, Takuya Watanabe, Hideyasu Matsuda, Masao Nasu, & Masaomi Kondo. (1996). Cloning and Sequencing of the Spore Germination Gene of Bacillus megaterium ATCC 12872: Similarities to the NaH‐Antiporter Gene of Enterococcus hirae. Microbiology and Immunology. 40(2). 99–105. 25 indexed citations

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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2026