J E Trosko

2.6k total citations · 1 hit paper
40 papers, 2.1k citations indexed

About

J E Trosko is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, J E Trosko has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Physiology. Recurrent topics in J E Trosko's work include Connexins and lens biology (14 papers), Heat shock proteins research (6 papers) and Bacillus and Francisella bacterial research (5 papers). J E Trosko is often cited by papers focused on Connexins and lens biology (14 papers), Heat shock proteins research (6 papers) and Bacillus and Francisella bacterial research (5 papers). J E Trosko collaborates with scholars based in United States, South Korea and Ireland. J E Trosko's co-authors include Chia‐Che Chang, Larry P. Yotti, Randall J. Ruch, Chia‐Cheng Chang, Chia Cheng Chang, E.H.Y. Chu, Roy D. Schmickel, Chun-Chieh Chang, Kyung‐Sun Kang and Stephen T. Warren and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JNCI Journal of the National Cancer Institute.

In The Last Decade

J E Trosko

39 papers receiving 2.0k citations

Hit Papers

Elimination of Metabolic Cooperation in Chinese Hamster C... 1979 2026 1994 2010 1979 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J E Trosko United States 25 1.6k 471 276 212 185 40 2.1k
Michael H.L. Green United Kingdom 28 1.0k 0.7× 460 1.0× 157 0.6× 303 1.4× 114 0.6× 56 1.8k
Edgar Rivedal Norway 30 1.9k 1.2× 431 0.9× 110 0.4× 340 1.6× 332 1.8× 90 2.5k
Steven A. Leadon United States 19 1.3k 0.8× 488 1.0× 251 0.9× 143 0.7× 79 0.4× 43 1.6k
Lucy A. Carver United States 9 1.2k 0.8× 469 1.0× 195 0.7× 169 0.8× 503 2.7× 9 2.2k
Antonio Antoccia Italy 28 1.3k 0.8× 684 1.5× 286 1.0× 184 0.9× 211 1.1× 82 2.0k
Aristide Floridi Italy 26 1.4k 0.9× 472 1.0× 495 1.8× 166 0.8× 67 0.4× 117 2.3k
S. Nishimura Japan 13 1.4k 0.9× 681 1.4× 213 0.8× 142 0.7× 133 0.7× 23 2.0k
Burra V. Madhukar United States 26 851 0.5× 414 0.9× 147 0.5× 222 1.0× 616 3.3× 61 1.8k
Richard R. Vaillancourt United States 24 1.6k 1.0× 225 0.5× 393 1.4× 144 0.7× 108 0.6× 37 2.3k
Pilar García-Morales Spain 24 983 0.6× 162 0.3× 414 1.5× 279 1.3× 199 1.1× 55 2.0k

Countries citing papers authored by J E Trosko

Since Specialization
Citations

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

Fields of papers citing papers by J E Trosko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E Trosko. 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 J E Trosko. The network helps show where J E Trosko may publish in the future.

Co-authorship network of co-authors of J E Trosko

This figure shows the co-authorship network connecting the top 25 collaborators of J E Trosko. A scholar is included among the top collaborators of J E Trosko 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 J E Trosko. J E Trosko 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.
Kang, Kyung‐Sun & J E Trosko. (2010). Stem Cells in Toxicology: Fundamental Biology and Practical Considerations. Toxicological Sciences. 120(Supplement 1). S269–S289. 62 indexed citations
3.
Trosko, J E & Randall J. Ruch. (2002). Gap Junctions as Targets for Cancer Chemoprevention and Chemotherapy. Current Drug Targets. 3(6). 465–482. 166 indexed citations
4.
Trosko, J E & Chia‐Cheng Chang. (2001). Mechanism of up-regulated gap junctional intercellular communication during chemoprevention and chemotherapy of cancer. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 480-481. 219–229. 104 indexed citations
5.
Chang, Chia‐Cheng, Wei Sun, Ângela K. Cruz, et al.. (2001). A Human Breast Epithelial Cell Type with Stem Cell Characteristics as Target Cells for Carcinogenesis. Radiation Research. 155(1). 201–207. 91 indexed citations
6.
Upham, Brad L., et al.. (1998). Modulated gap junctional intercellular communication as a biomarker of PAH epigenetic toxicity: structure-function relationship.. Environmental Health Perspectives. 106(suppl 4). 975–981. 66 indexed citations
7.
Kang, Kyung‐Sun, Wei Sun, Koichiro Nomata, et al.. (1998). Involvement of tyrosine phosphorylation of p185(c-erbB2/neu) in tumorigenicity induced by X-rays and the neu oncogene in human breast epithelial cells.. PubMed. 21(4). 225–33. 34 indexed citations
8.
Trosko, J E. (1996). Role of Low-Level Ionizing Radiation in Multi-Step Carcinogenic Process. Health Physics. 70(6). 812–822. 35 indexed citations
9.
Feijter, Adriaan W. de, Diane F. Matesic, Randall J. Ruch, et al.. (1996). Localization and function of the connexin 43 gap-junction protein in normal and various oncogene-expressing rat liver epithelial cells. Molecular Carcinogenesis. 16(4). 203–212. 66 indexed citations
13.
El‐Fouly, Mohamed H., J E Trosko, Chia‐Cheng Chang, & Stephen T. Warren. (1989). Potential role of the human Ha‐ras oncogene in the inhibition of gap junctional intercellular communication. Molecular Carcinogenesis. 2(3). 131–135. 36 indexed citations
14.
Nicolson, Garth L., Rosemarie B. Lichtner, & J E Trosko. (1988). Cytoskeletal and Junctional Heterogeneity in Mammary Tumor Cells and their Possible Significance in Tumor Progression. Advances in experimental medicine and biology. 233. 21–26. 5 indexed citations
15.
Trosko, J E. (1987). Mechanisms of tumor promotion: Possible role of inhibited intercellular communication. European Journal of Cancer and Clinical Oncology. 23(6). 599–601. 40 indexed citations
16.
Chang, Chia‐Che, J E Trosko, H J Kung, David W. Bombick, & Fumio Matsumura. (1985). Potential role of the src gene product in inhibition of gap-junctional communication in NIH/3T3 cells.. Proceedings of the National Academy of Sciences. 82(16). 5360–5364. 73 indexed citations
17.
Loch‐Caruso, Rita, et al.. (1984). Interruption of cell-cell communication in Chinese hamster V79 cells by various alkyl glycol ethers: implications for teratogenicity.. Environmental Health Perspectives. 57. 119–123. 19 indexed citations
18.
Aylsworth, Charles F., Cyrenius M. Jone, J E Trosko, J. Meites, & C W Welsch. (1984). Promotion of 7,12-Dimethylbenz[<italic>a</italic>]anthracene-Induced Mammary Tumorigenesis by High Dietary Fat in the Rat: Possible Role of Intercellular Communication<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 72(3). 637–45. 62 indexed citations
19.
Trosko, J E, et al.. (1981). PBB inhibits metabolic cooperation in Chinese hamster cells in vitro: its potential as a tumor promoter.. Environmental Health Perspectives. 37. 179–182. 25 indexed citations
20.
Chang, Chia‐Cheng, et al.. (1975). Mutagenicity of cancer-promoting agents in cultured Chinese hamster cells. Mutation Research/Environmental Mutagenesis and Related Subjects. 31(5). 322–322. 2 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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