Young‐Man Cho

3.8k total citations
108 papers, 3.0k citations indexed

About

Young‐Man Cho is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Young‐Man Cho has authored 108 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Young‐Man Cho's work include Carcinogens and Genotoxicity Assessment (12 papers), Genomics, phytochemicals, and oxidative stress (11 papers) and Prostate Cancer Treatment and Research (9 papers). Young‐Man Cho is often cited by papers focused on Carcinogens and Genotoxicity Assessment (12 papers), Genomics, phytochemicals, and oxidative stress (11 papers) and Prostate Cancer Treatment and Research (9 papers). Young‐Man Cho collaborates with scholars based in Japan, South Korea and Sri Lanka. Young‐Man Cho's co-authors include Kyong Soo Park, H. K. Lee, Y. G. Kim, Seokyung Hahn, Tae Jung Oh, Takeshi Toyoda, Kumiko Ogawa, Sung‐Hoon Ahn, Kyung-Tae Lee and Binayak Bhandari and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Young‐Man Cho

101 papers receiving 2.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Young‐Man Cho 1.0k 642 409 379 343 108 3.0k
António S. Barros 1.9k 1.8× 84 0.1× 215 0.5× 89 0.2× 231 0.7× 193 6.0k
Yi Wang 2.0k 1.9× 152 0.2× 272 0.7× 109 0.3× 376 1.1× 296 4.6k
Toshihiko Ikeda 641 0.6× 386 0.6× 617 1.5× 71 0.2× 236 0.7× 162 3.8k
Xue Han 998 1.0× 58 0.1× 98 0.2× 98 0.3× 185 0.5× 112 3.1k
Ning Xie 2.8k 2.7× 221 0.3× 251 0.6× 266 0.7× 252 0.7× 240 4.7k
Shuang Wei 641 0.6× 78 0.1× 157 0.4× 60 0.2× 250 0.7× 81 3.1k
Feijun Luo 1.7k 1.7× 180 0.3× 278 0.7× 287 0.8× 301 0.9× 213 4.8k
Cheng Hu 2.5k 2.5× 1.4k 2.2× 1.1k 2.7× 852 2.2× 1.2k 3.5× 274 6.2k
John F. O’Brien 1.1k 1.1× 387 0.6× 706 1.7× 211 0.6× 328 1.0× 144 4.0k
Sebastian Hoffmann 601 0.6× 278 0.4× 328 0.8× 102 0.3× 117 0.3× 165 4.3k

Countries citing papers authored by Young‐Man Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Man Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Man Cho. 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 Young‐Man Cho. The network helps show where Young‐Man Cho may publish in the future.

Co-authorship network of co-authors of Young‐Man Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Man Cho. A scholar is included among the top collaborators of Young‐Man Cho 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 Young‐Man Cho. Young‐Man Cho 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
1.
Li, Shaobo, et al.. (2025). A novel product shape innovation design method based on Kansei Engineering and GAN model with limited sample data. Journal of Engineering Design. 37(3). 981–1006.
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Akagi, Jun‐ichi, Masayuki Yokoi, Tsuyoshi Shirai, et al.. (2023). A formamidopyrimidine derivative from the deoxyguanosine adduct produced by food contaminant acrylamide induces DNA replication block and mutagenesis. Journal of Biological Chemistry. 299(8). 105002–105002. 3 indexed citations
4.
Akagi, Jun‐ichi, Young‐Man Cho, Takeshi Toyoda, Yasuko Mizuta, & Kumiko Ogawa. (2023). EpCAM and APN expression in combination with γ‐H2AX as biomarkers for detecting hepatocarcinogens in rats. Cancer Science. 114(12). 4763–4769. 1 indexed citations
5.
Mizuta, Yasuko, Jun‐ichi Akagi, Naoki Sugimoto, et al.. (2020). A 90-day repeated oral dose toxicity study of four stereoisomers of 2,4-dimethyl-4-phenyltetrahydrofuran, a synthetic flavoring substance, in F344 rats. Regulatory Toxicology and Pharmacology. 114. 104664–104664. 3 indexed citations
6.
Akagi, Jun‐ichi, Young‐Man Cho, Yasuko Mizuta, Takeshi Toyoda, & Kumiko Ogawa. (2018). Subchronic toxicity evaluation of 5-hexenyl isothiocyanate, a nature identical flavoring substance from Wasabia japonica, in F344/DuCrj rats. Food and Chemical Toxicology. 122. 80–86. 6 indexed citations
7.
Akagi, Jun‐ichi, et al.. (2018). Subchronic toxicity evaluation of isoeugenyl methyl ether in F344/DuCrj rats by 13-week oral administration. Regulatory Toxicology and Pharmacology. 102. 34–39. 4 indexed citations
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Toyoda, Takeshi, Young‐Man Cho, Jun‐ichi Akagi, et al.. (2015). Early Detection of Genotoxic Urinary Bladder Carcinogens by Immunohistochemistry for γ-H2AX. Toxicological Sciences. 148(2). 400–408. 30 indexed citations
11.
Toyoda, Takeshi, Toshio Imai, Young‐Man Cho, et al.. (2013). A 13-week subchronic toxicity study of garden balsam extract in F344 rats. 20(1). 52–60. 1 indexed citations
12.
Cho, Young‐Man, et al.. (2010). Design of the long perforated pipe in water treatment process using CFD. Journal of The Korean Society of Water and Wastewater. 24(3). 295–305.
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Imai, Toshio, Mai Hasumura, Young‐Man Cho, Jun‐ichi Onose, & Masao Hirose. (2007). Depression of T cell‐mediated immunity reduces sulfadimethoxine‐induced capsular inflammation and inhibits associated development of invasive thyroid follicular cell carcinomas in rats. Cancer Science. 98(3). 294–298. 5 indexed citations
15.
Cho, Young‐Man, Toshio Imai, Mai Hasumura, & Masao Hirose. (2006). Lack of enhancement of susceptibility to mammary and thyroid carcinogenesis in rats exposed to DMBA and DHPN following prepubertal iodine deficiency. Cancer Science. 97(10). 1031–1036. 4 indexed citations
16.
Shin, Hyoung Doo, B. L. Park, Young‐Man Cho, et al.. (2005). Peroxisome proliferator-activated receptor gamma coactivator 1 alpha promoter polymorphisms are associated with early-onset type 2 diabetes mellitus in the Korean population. Diabetologia. 48(7). 1323–1330. 37 indexed citations
17.
Imai, Toshio, Mai Hasumura, Jun‐ichi Onose, et al.. (2005). Development of invasive follicular cell carcinomas in a rat thyroid carcinogenesis model: Biological impact of capsular inflammation and reduced cyclooxygenase‐2 expression. Cancer Science. 96(1). 31–37. 13 indexed citations
18.
Cho, Young‐Man, Satoru Takahashi, Makoto Asamoto, et al.. (2003). Age‐dependent histopathological findings in the prostate of probasin/SV40 T antigen transgenic rats: Lack of influence of carcinogen or testosterone treatment. Cancer Science. 94(2). 153–157. 24 indexed citations
19.
Hokaiwado, Naomi, Makoto Asamoto, Young‐Man Cho, Hiroyuki Tsuda, & Tomoyuki Shirai. (2003). Lack of effect of human c‐Ha‐ras proto‐oncogene overexpression on prostate carcinogenesis in probasin/SV40 T antigen transgenic rats. Cancer Science. 94(12). 1042–1045. 1 indexed citations
20.
Inaguma, Shingo, Satoru Takahashi, Hiroyuki Ohnishi, et al.. (2003). High susceptibility of the ACI and spontaneously hypertensive rat (SHR) strains to 2‐amino‐1‐methyl‐6‐phenylimidazo[4,5‐b]pyridine (PhIP) prostate carcinogenesis. Cancer Science. 94(11). 974–979. 15 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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