Hiroyasu Iwasa

419 total citations
9 papers, 272 citations indexed

About

Hiroyasu Iwasa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry. According to data from OpenAlex, Hiroyasu Iwasa has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Clinical Biochemistry. Recurrent topics in Hiroyasu Iwasa's work include Receptor Mechanisms and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Genomics and Rare Diseases (2 papers). Hiroyasu Iwasa is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Genomics and Rare Diseases (2 papers). Hiroyasu Iwasa collaborates with scholars based in Japan, Egypt and Australia. Hiroyasu Iwasa's co-authors include Toshihiro Tanaka, R Nagai, Yusuke Nakamura, Toshio Itoh, Yasushi Okazaki, Masakazu Kohda, Masahiko Kurabayashi, Hitoshi Miyazawa, Yoshikazu Nakamura and Takuya Awata and has published in prestigious journals such as The American Journal of Human Genetics, Journal of Medical Genetics and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Hiroyasu Iwasa

9 papers receiving 267 citations

Peers

Hiroyasu Iwasa

CCM

PPCH

GENET

CMN

P. A. Maplestone Australia

Salvador Rico United States

D. Kiss Switzerland

Randall M. Bryant United States

Shane E. Brogan United States

T. W. Langefeld Germany

Chih‐Hsiang Lin Taiwan

Ágnes Nemeskéri Hungary

Alessandra Scardapane Italy

Lars Kjærsgaard Hansen Denmark

P. A. Maplestone Australia

Hiroyasu Iwasa

170 ×1.1

94 ×1.1

CCM

13 ×0.3

PPCH

19 ×0.4

GENET

28 ×0.7

CMN

Citations per year, relative to Hiroyasu Iwasa Hiroyasu Iwasa (= 1×) peers P. A. Maplestone

Countries citing papers authored by Hiroyasu Iwasa

Since Specialization

Citations

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

Fields of papers citing papers by Hiroyasu Iwasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyasu Iwasa

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

All Works

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9 of 9 papers shown

Maegaki, Yoshihiro, Kei Murayama, Taro Yamazaki, et al.. (2014). Myocerebrohepatopathy spectrum disorder due to POLG mutations: A clinicopathological report. Brain and Development. 37(7). 719–724. 11 indexed citations

Yamazaki, Taro, Kei Murayama, Alison G. Compton, et al.. (2013). Molecular diagnosis of mitochondrial respiratory chain disorders in Japan: Focusing on mitochondrial DNA depletion syndrome. Pediatrics International. 56(2). 180–187. 12 indexed citations

Fujita, Ken‐ichi, Yukio Ando, Wataru Yamamoto, et al.. (2009). Association of UGT2B7 and ABCB1 genotypes with morphine-induced adverse drug reactions in Japanese patients with cancer. Cancer Chemotherapy and Pharmacology. 65(2). 251–258. 82 indexed citations

Kanai, Kazuaki, Shuichi Yoshida, Shinichi Hirose, et al.. (2009). Physicochemical property changes of amino acid residues that accompany missense mutations in SCN1A affect epilepsy phenotype severity. Journal of Medical Genetics. 46(10). 671–679. 20 indexed citations

Miyazawa, Hitoshi, Masaaki Kato, Takuya Awata, et al.. (2007). Homozygosity Haplotype Allows a Genomewide Search for the Autosomal Segments Shared among Patients. The American Journal of Human Genetics. 80(6). 1090–1102. 45 indexed citations

Iwasa, Hiroyasu, Masahiko Kurabayashi, R Nagai, Yusuke Nakamura, & Toshihiro Tanaka. (2002). Twenty single-nucleotide polymorphisms in four genes encoding cardiac ion channels. Journal of Human Genetics. 47(4). 208–212. 5 indexed citations

Iwasa, Hiroyasu, Masahiko Kurabayashi, R Nagai, Yoshikazu Nakamura, & Toshihiro Tanaka. (2001). Genetic variations in five genes involved in the excitement of cardiomyocytes. Journal of Human Genetics. 46(9). 549–552. 19 indexed citations

Iwasa, Hiroyasu, et al.. (2001). Multiple single-nucleotide polymorphisms (SNPs) in the Japanese population in six candidate genes for long QT syndrome. Journal of Human Genetics. 46(3). 158–162. 22 indexed citations

Iwasa, Hiroyasu, Toshio Itoh, R Nagai, Yusuke Nakamura, & Toshihiro Tanaka. (2000). Twenty single nucleotide polymorphisms (SNPs) and their allelic frequencies in four genes that are responsible for familial long QT syndrome in the Japanese population. Journal of Human Genetics. 45(3). 182–183. 56 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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