Masayoshi Ichiba

1.5k total citations
70 papers, 1.2k citations indexed

About

Masayoshi Ichiba is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Masayoshi Ichiba has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Cancer Research and 15 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Masayoshi Ichiba's work include Carcinogens and Genotoxicity Assessment (26 papers), Glutathione Transferases and Polymorphisms (15 papers) and Alcohol Consumption and Health Effects (11 papers). Masayoshi Ichiba is often cited by papers focused on Carcinogens and Genotoxicity Assessment (26 papers), Glutathione Transferases and Polymorphisms (15 papers) and Alcohol Consumption and Health Effects (11 papers). Masayoshi Ichiba collaborates with scholars based in Japan, United States and China. Masayoshi Ichiba's co-authors include Katsumaro Tomokuni, Akiko Matsumoto, Toshihiro Kawamoto, Kunio Hara, Tomoyuki Hanaoka, Yuko Yamano, Mikako Horita, Megumi Hara, Tomonari Matsuda and Daisuke Ueno and has published in prestigious journals such as The Science of The Total Environment, Biochemical Journal and Chemosphere.

In The Last Decade

Masayoshi Ichiba

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayoshi Ichiba Japan 21 502 483 456 225 148 70 1.2k
Katarı́na Volkovová Slovakia 24 484 1.0× 299 0.6× 199 0.4× 168 0.7× 78 0.5× 67 1.5k
Junke Wang China 21 587 1.2× 268 0.6× 273 0.6× 129 0.6× 86 0.6× 55 1.4k
Juan J. Sirvent Spain 23 248 0.5× 160 0.3× 255 0.6× 78 0.3× 191 1.3× 53 1.2k
Youn Ju Lee South Korea 21 473 0.9× 117 0.2× 243 0.5× 100 0.4× 145 1.0× 54 1.3k
Ralph W.H. Gottschalk Netherlands 23 556 1.1× 310 0.6× 273 0.6× 58 0.3× 43 0.3× 31 1.2k
Y Konishi Japan 18 556 1.1× 270 0.6× 200 0.4× 69 0.3× 103 0.7× 48 1.3k
Kamaleshwar P. Singh United States 25 799 1.6× 252 0.5× 191 0.4× 83 0.4× 79 0.5× 61 1.5k
Zhaofeng Liang China 22 811 1.6× 392 0.8× 140 0.3× 83 0.4× 86 0.6× 63 1.4k
Zdeněk Šmerhovský Czechia 20 560 1.1× 500 1.0× 413 0.9× 135 0.6× 86 0.6× 36 1.4k
Céline Tomkiewicz France 19 492 1.0× 235 0.5× 319 0.7× 48 0.2× 178 1.2× 34 1.3k

Countries citing papers authored by Masayoshi Ichiba

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Ichiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Ichiba

This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Ichiba. A scholar is included among the top collaborators of Masayoshi Ichiba 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 Masayoshi Ichiba. Masayoshi Ichiba 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
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Yamamoto, Shinobu, et al.. (2019). Development of a measurement method to determine the ceiling exposure concentration of ortho-phthalaldehyde handling workers. Journal of Occupational Health. 62(1). e12105–e12105. 3 indexed citations
3.
Matsumoto, Akiko, Chisato Shimanoe, Keitaro Tanaka, Masayoshi Ichiba, & Megumi Hara. (2017). Development of suitable method for large-scale urinary glucocorticoid analysis by liquid chromatography–mass spectrometry. Journal of Chromatography B. 1057. 62–69. 11 indexed citations
4.
Yamano, Yuko, Kunio Hara, Masayoshi Ichiba, et al.. (2013). Urinary 1-hydroxypyrene as a comprehensive carcinogenic biomarker of exposure to polycyclic aromatic hydrocarbons: a cross-sectional study of coke oven workers in China. International Archives of Occupational and Environmental Health. 87(7). 705–713. 40 indexed citations
5.
Hasegawa, Tohru, Masayoshi Ichiba, Shin‐ei Matsumoto, et al.. (2012). Urinary Homocysteic Acid Levels Correlate with Mini-Mental State Examination Scores in Alzheimer's Disease Patients. Journal of Alzheimer s Disease. 31(1). 59–64. 12 indexed citations
6.
Sakamoto, Tatsuhiko, Yasuki Higaki, Megumi Hara, et al.. (2006). hOGG1 Ser326Cys Polymorphism and Risk of Hepatocellular Carcinoma among Japanese. Journal of Epidemiology. 16(6). 233–239. 17 indexed citations
7.
Sakamoto, Tatsuhiko, Megumi Hara, Yasuki Higaki, et al.. (2005). Influence of alcohol consumption and gene polymorphisms ofADH2andALDH2on hepatocellular carcinoma in a Japanese population. International Journal of Cancer. 118(6). 1501–1507. 77 indexed citations
8.
Ichiba, Masayoshi, Kunio Hara, Xiaofeng Zhang, et al.. (2001). Urinary 1-hydroxypyrene in coke oven workers relative to exposure, alcohol consumption, and metabolic enzymes. Occupational and Environmental Medicine. 58(11). 716–721. 35 indexed citations
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Wang, Yanping, et al.. (1998). Effects of Genetic Polymorphism of Metabolic Enzymes, Nutrition, and Lifestyle Factors on DNA Adduct Formation in Lymphocytes.. Industrial Health. 36(4). 337–346. 20 indexed citations
12.
Tomokuni, Katsumaro, et al.. (1993). Interrelation Between Urinary .DELTA.-Aminolevulinic Acid(ALA), Serum ALA, and Blood Lead in Workers Exposed to Lead.. Industrial Health. 31(2). 51–57. 24 indexed citations
13.
Tomokuni, Katsumaro, et al.. (1993). UrinaryN-acetyl-?-d-glucosaminidase and ?-aminoisobutyric acid in workers occupationally exposed to metals such as chromium, nickel, and iron. International Archives of Occupational and Environmental Health. 65(1). 19–21.
14.
Ichiba, Masayoshi, Katsumaro Tomokuni, & Koji Mori. (1992). Erythrocyte nucleotides in lead workers. International Archives of Occupational and Environmental Health. 63(6). 419–421. 5 indexed citations
15.
Tomokuni, Katsumaro, Masayoshi Ichiba, & Yukio Hirai. (1992). Measurement of Urinary .DELTA.-Aminolevulinic Acid (ALA) by Fluorometric HPLC and Colorimetric Methods.. Industrial Health. 30(3/4). 119–128. 18 indexed citations
16.
Ichiba, Masayoshi, et al.. (1992). Urinary excretion of 3,4-dimethylhippuric acid in workers exposed to 1,2,4-trimethylbenzene. International Archives of Occupational and Environmental Health. 64(5). 325–327. 12 indexed citations
17.
Tomokuni, Katsumaro & Masayoshi Ichiba. (1990). Interaction between nickel and lead in relation to porphyrin metabolism in mice.. Industrial Health. 28(3). 145–149. 4 indexed citations
18.
Ichiba, Masayoshi & Katsumaro Tomokuni. (1990). Studies on erythrocyte pyrimidine 5?-nucleotidase (P5N) test and its evaluation in workers occupationally exposed to lead. International Archives of Occupational and Environmental Health. 62(4). 305–310. 8 indexed citations
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Ichiba, Masayoshi & Katsumaro Tomokuni. (1988). Response of erythrocyte pyrimidine 5'-nucleotidase (P5N) activity in workers exposed to lead.. Occupational and Environmental Medicine. 45(10). 718–719. 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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