Akiyoshi Hirayama

8.6k total citations · 2 hit papers
116 papers, 4.9k citations indexed

About

Akiyoshi Hirayama is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Akiyoshi Hirayama has authored 116 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 34 papers in Physiology and 17 papers in Spectroscopy. Recurrent topics in Akiyoshi Hirayama's work include Metabolomics and Mass Spectrometry Studies (48 papers), Diet and metabolism studies (22 papers) and Gut microbiota and health (16 papers). Akiyoshi Hirayama is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (48 papers), Diet and metabolism studies (22 papers) and Gut microbiota and health (16 papers). Akiyoshi Hirayama collaborates with scholars based in Japan, United States and Australia. Akiyoshi Hirayama's co-authors include Tomoyoshi Soga, Masaru Tomita, Masahiro Sugimoto, David T. Wong, Taira Kinoshitá, Hiroko Onozuka, Kenjiro Kami, Hiroyasu Esumi, Atsushi Ochiai and Naoko Toki and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Akiyoshi Hirayama

111 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry

2009 786 citations Akiyoshi Hirayama, Kenjiro Kami et al. Cancer Research profile →
Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

2009 782 citations Masahiro Sugimoto, Akiyoshi Hirayama et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akiyoshi Hirayama Japan	32	3.2k	997	734	544	533	116	4.9k
Martin Giera Netherlands	43	3.9k 1.2×	1.2k 1.2×	527 0.7×	396 0.7×	868 1.6×	237	7.2k
Tianlu Chen China	37	3.2k 1.0×	966 1.0×	616 0.8×	304 0.6×	416 0.8×	102	5.2k
Yunping Qiu China	47	5.0k 1.6×	1.2k 1.2×	1.1k 1.4×	477 0.9×	639 1.2×	137	7.3k
Aihua Zhao China	48	4.3k 1.3×	1.5k 1.5×	656 0.9×	339 0.6×	413 0.8×	132	6.9k
Adil Mardinoğlu Sweden	45	4.6k 1.4×	1.4k 1.4×	930 1.3×	613 1.1×	126 0.2×	230	7.0k
Dongdong Wu China	40	2.1k 0.7×	412 0.4×	432 0.6×	430 0.8×	222 0.4×	177	5.0k
Masakazu Shinohara Japan	38	2.2k 0.7×	660 0.7×	504 0.7×	173 0.3×	214 0.4×	172	4.8k
Jakob Troppmair Austria	50	4.4k 1.4×	466 0.5×	705 1.0×	1.3k 2.3×	458 0.9×	157	7.9k
Nikolaos Psychogios United States	13	2.5k 0.8×	632 0.6×	222 0.3×	362 0.7×	412 0.8×	18	4.1k
Xiaojiao Zheng China	40	3.2k 1.0×	1.3k 1.3×	434 0.6×	164 0.3×	231 0.4×	98	5.3k

Countries citing papers authored by Akiyoshi Hirayama

Since Specialization

Citations

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

Fields of papers citing papers by Akiyoshi Hirayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Hirayama

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

All Works

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20 of 20 papers shown

Imaizumi, Takahiro, Manabu Hishida, Shin‐ichi Akiyama, et al.. (2024). Plasma Metabolite Profiles Between In-Center Daytime Extended-Hours and Conventional Hemodialysis. Kidney360. 6(3). 420–431. 1 indexed citations

Hatano, Atsushi, Satoshi Ohno, Riku Egami, et al.. (2024). Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver. npj Systems Biology and Applications. 10(1). 107–107. 1 indexed citations

Yoshida, Yuki, Akiyoshi Hirayama, & Kazuharu Arakawa. (2024). Transcriptome analysis of the tardigrade <i>Hypsibius exemplaris</i> exposed to the DNA-damaging agent bleomycin. Proceedings of the Japan Academy Series B. 100(7). 414–428. 1 indexed citations

Hirayama, Akiyoshi, Takamasa Ishikawa, Haruka Takahashi, et al.. (2023). Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry. Metabolites. 13(4). 558–558. 2 indexed citations

Harada, Yoichiro, Takehiro Suzuki, Akiyoshi Hirayama, et al.. (2023). Metabolic clogging of mannose triggers dNTP loss and genomic instability in human cancer cells. eLife. 12. 9 indexed citations

Shinzawa, Koei, Shinji Matsumoto, Ryota Sada, et al.. (2023). GREB1 isoform 4 is specifically transcribed by MITF and required for melanoma proliferation. Oncogene. 42(42). 3142–3156. 4 indexed citations

Morita, Hiroto, Chiharu Ishii, Takamasa Ishikawa, et al.. (2023). Bacteroides uniformis and its preferred substrate, α-cyclodextrin, enhance endurance exercise performance in mice and human males. Science Advances. 9(4). eadd2120–eadd2120. 40 indexed citations

Tabata, Sho, Masako Hasebe, Satsuki Ikeda, et al.. (2023). Metabolomics of small extracellular vesicles derived from isocitrate dehydrogenase 1-mutant HCT116 cells collected by semi-automated size exclusion chromatography. Frontiers in Molecular Biosciences. 9. 1049402–1049402. 6 indexed citations

Moriyama, Miyu, Chiharu Ishii, Hirotake Mori, et al.. (2023). High body temperature increases gut microbiota-dependent host resistance to influenza A virus and SARS-CoV-2 infection. Nature Communications. 14(1). 3863–3863. 31 indexed citations

10.

Rao, Srinivasa R., Emma V. Morris, Sho Tabata, et al.. (2022). Metabolic profiling of prostate cancer in skeletal microenvironments identifies G6PD as a key mediator of growth and survival. Science Advances. 8(8). eabf9096–eabf9096. 35 indexed citations

11.

Yoshitake, Jun, Daisuke Onoshima, Akiyoshi Hirayama, et al.. (2022). Rapid Isolation of Extracellular Vesicles Using a Hydrophilic Porous Silica Gel-Based Size-Exclusion Chromatography Column. Analytical Chemistry. 94(40). 13676–13681. 13 indexed citations

12.

Hasebe, Masako, Satsuki Ikeda, Tomoyoshi Soga, et al.. (2022). Comparative Metabolomics of Small Molecules Specifically Expressed in the Dorsal or Ventral Marginal Zones in Vertebrate Gastrula. Metabolites. 12(6). 566–566. 7 indexed citations

13.

Saito, Rintaro, Akiyoshi Hirayama, Satsuki Ikeda, et al.. (2021). Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry. Metabolites. 11(10). 671–671. 8 indexed citations

14.

Nagao‐Kitamoto, Hiroko, Jhansi L. Leslie, Sho Kitamoto, et al.. (2020). Interleukin-22-mediated host glycosylation prevents Clostridioides difficile infection by modulating the metabolic activity of the gut microbiota. Nature Medicine. 26(4). 608–617. 164 indexed citations

15.

Seong, Ki‐Hyeon, Yuki Katou, Naoko Yokota, et al.. (2020). Paternal restraint stress affects offspring metabolism via ATF-2 dependent mechanisms in Drosophila melanogaster germ cells. Communications Biology. 3(1). 208–208. 13 indexed citations

16.

Izumi, Yoshihiro, Fumio Matsuda, Akiyoshi Hirayama, et al.. (2019). Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration. Metabolites. 9(11). 257–257. 31 indexed citations

17.

Tando, Toshimi, Akiyoshi Hirayama, Mitsuru Furukawa, et al.. (2016). Smad2/3 Proteins Are Required for Immobilization-induced Skeletal Muscle Atrophy. Journal of Biological Chemistry. 291(23). 12184–12194. 48 indexed citations

18.

Harada, Sei, Toru Takebayashi, Ayako Kurihara, et al.. (2015). Metabolomic profiling reveals novel biomarkers of alcohol intake and alcohol-induced liver injury in community-dwelling men. Environmental Health and Preventive Medicine. 21(1). 18–26. 73 indexed citations

19.

Hirayama, Akiyoshi, Kenjiro Kami, Masahiro Sugimoto, et al.. (2009). Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry. Cancer Research. 69(11). 4918–4925. 786 indexed citations breakdown →

20.

Mori, Masanobu, et al.. (2007). USE OF AN AMPHIPHILIC CALIX(4)ARENE WITH SULFONATE FUNCTIONALITY AT THE LOWER RIM AS A BUFFER ADDITIVE IN CAPILLARY ELECTROPHORESIS. Acta Chromatographica. 73–80. 1 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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