Fumiaki Shono

792 total citations
54 papers, 657 citations indexed

About

Fumiaki Shono is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Fumiaki Shono has authored 54 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Pharmacology and 11 papers in Cancer Research. Recurrent topics in Fumiaki Shono's work include Inflammatory mediators and NSAID effects (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Adipose Tissue and Metabolism (9 papers). Fumiaki Shono is often cited by papers focused on Inflammatory mediators and NSAID effects (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Adipose Tissue and Metabolism (9 papers). Fumiaki Shono collaborates with scholars based in Japan. Fumiaki Shono's co-authors include Hiroshi Yamazaki, Kazushige Yokota, Masato Kitajima, Makiko Shimizu, Norie Murayama, Kohji Nishimura, Mitsuo Jisaka, Tsutomu Nagaya, Kimito Funatsu and Shozo Yamamoto and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Chemosphere.

In The Last Decade

Fumiaki Shono

51 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumiaki Shono Japan 15 226 149 118 117 95 54 657
Rhys Whomsley Belgium 17 211 0.9× 118 0.8× 210 1.8× 69 0.6× 62 0.7× 36 928
John R. Cashman United States 18 258 1.1× 70 0.5× 282 2.4× 75 0.6× 70 0.7× 31 769
Olav M. Bakke Norway 17 282 1.2× 76 0.5× 269 2.3× 94 0.8× 61 0.6× 25 849
Yusuke Nagae Japan 12 187 0.8× 71 0.5× 38 0.3× 100 0.9× 64 0.7× 19 619
Yorishige Imamura Japan 17 373 1.7× 106 0.7× 155 1.3× 73 0.6× 127 1.3× 121 900
Hsia-lien Lin United States 17 249 1.1× 65 0.4× 467 4.0× 101 0.9× 36 0.4× 26 799
Ronald Chanderbhan United States 17 587 2.6× 33 0.2× 88 0.7× 141 1.2× 51 0.5× 23 1.1k
Linda B. von Weymarn United States 17 359 1.6× 38 0.3× 257 2.2× 160 1.4× 35 0.4× 26 637
Timothy W. Harper United States 17 345 1.5× 177 1.2× 211 1.8× 174 1.5× 12 0.1× 30 1.0k
David R. Dutton United States 10 144 0.6× 45 0.3× 387 3.3× 131 1.1× 69 0.7× 11 925

Countries citing papers authored by Fumiaki Shono

Since Specialization
Citations

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

Fields of papers citing papers by Fumiaki Shono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumiaki Shono

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

All Works

20 of 20 papers shown
2.
Kamiya, Yusuke, Tomonori Miura, Kazuki Shigeta, et al.. (2021). In Silico Prediction of Input Parameters for Simplified Physiologically Based Pharmacokinetic Models for Estimating Plasma, Liver, and Kidney Exposures in Rats after Oral Doses of 246 Disparate Chemicals. Chemical Research in Toxicology. 34(2). 507–513. 35 indexed citations
4.
Kamiya, Yusuke, Tomonori Miura, Makiko Shimizu, et al.. (2020). Physiologically Based Pharmacokinetic Models Predicting Renal and Hepatic Concentrations of Industrial Chemicals after Virtual Oral Doses in Rats. Chemical Research in Toxicology. 33(7). 1736–1751. 29 indexed citations
6.
Khan, Ferdous, Mohammad Safiqul Islam, Kohji Nishimura, et al.. (2016). Stimulation of fat storage by prostacyclin and selective agonists of prostanoid IP receptor during the maturation phase of cultured adipocytes. Cytotechnology. 68(6). 2417–2429. 6 indexed citations
7.
Hossain, Mohammad Salim, Abu Asad Chowdhury, Mohammad Sharifur Rahman, et al.. (2011). Development of enzyme-linked immunosorbent assay for Δ12-prostaglandin J2 and its application to the measurement of the endogenous product generated by cultured adipocytes during the maturation phase. Prostaglandins & Other Lipid Mediators. 94(3-4). 73–80. 26 indexed citations
8.
Hossain, Mohammad Salim, Abu Asad Chowdhury, Mohammad Sharifur Rahman, et al.. (2011). Stable expression of lipocalin-type prostaglandin D synthase in cultured preadipocytes impairs adipogenesis program independently of endogenous prostanoids. Experimental Cell Research. 318(4). 408–415. 9 indexed citations
9.
Chowdhury, Abu Asad, Mohammad Salim Hossain, Mohammad Sharifur Rahman, et al.. (2011). Sustained expression of lipocalin-type prostaglandin D synthase in the antisense direction positively regulates adipogenesis in cloned cultured preadipocytes. Biochemical and Biophysical Research Communications. 411(2). 287–292. 11 indexed citations
11.
Li, Xu, Kohji Nishimura, Mitsuo Jisaka, et al.. (2009). Suppression of adipogenesis program in cultured preadipocytes transfected stably with cyclooxygenase isoforms. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1791(4). 273–280. 22 indexed citations
12.
Shono, Fumiaki, et al.. (2003). Surveillance and the Approach for the Proper Use of Antibiotics at Tokushima University Hospital.. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 29(5). 611–615. 2 indexed citations
13.
Yabuki, Masashi, Shoji Saito, Tomoyuki Watanabe, et al.. (1996). Research to develop a predicting system of mammalian subacute toxicity (3) construction of a predictive toxicokinetics model. Chemosphere. 33(12). 2441–2468. 6 indexed citations
14.
Hayashi, Yoko, Fumiaki Shono, Shozo Yamamoto, et al.. (1990). Immunoaffinity purification of 11-dehydro-thromboxane B2 from human urine and plasma for quantitative analysis by radioimmunoassay. Analytical Biochemistry. 187(1). 151–159. 23 indexed citations
15.
Hayashi, Yoko, Fumiaki Shono, Shuji Yamamoto, et al.. (1989). Radioimmunoassay of 11-dehydro-thromboxane B2 using monoclonal antibody.. PubMed. 19. 688–91. 2 indexed citations
16.
Shono, Fumiaki, Kazushige Yokota, Shozo Yamamoto, et al.. (1988). A heterologous enzyme immunoassay of prostaglandin E2 using a stable enzyme-labeled hapten mimic. Analytical Biochemistry. 168(2). 284–291. 50 indexed citations
17.
Yokota, Kiyoko, et al.. (1985). Enzyme immunoassay of prostanoids in human blood and urine.. PubMed. 15. 33–4. 1 indexed citations
18.
Yoshitake, Akira, et al.. (1980). Determination of miloxacin and metabolites in human serum and urine by high-pressure liquid chromatography. Antimicrobial Agents and Chemotherapy. 18(1). 45–49. 5 indexed citations
19.
Yoshitake, Akira, et al.. (1980). Absorption, distribution, excretion, and metabolism of 14 C-Miloxacin in female rats. 29(8). 377–381. 1 indexed citations
20.
Yoshitake, Akira, Kazuo Kawahara, & Fumiaki Shono. (1979). Metabolism of 14C-Miloxacin in Rats. RADIOISOTOPES. 28(11). 687–691. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026