G. E. Milo

1.2k total citations
35 papers, 956 citations indexed

About

G. E. Milo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, G. E. Milo has authored 35 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in G. E. Milo's work include Cancer-related Molecular Pathways (7 papers), DNA Repair Mechanisms (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). G. E. Milo is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), DNA Repair Mechanisms (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). G. E. Milo collaborates with scholars based in United States, United Kingdom and Russia. G. E. Milo's co-authors include David G. Cornwell, Victor C. Gavino, James S. Miller, B. I. Sahai Srivastava, Naho Morisaki, Rao V. Panganamala, Howard Sprecher, David L. Crowe, William B. Malarkey and C. C. Capen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

G. E. Milo

34 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. E. Milo United States 16 402 193 173 141 127 35 956
Yan Gu United States 17 521 1.3× 157 0.8× 90 0.5× 226 1.6× 107 0.8× 23 1.2k
Rudolf I. Salganik Russia 15 612 1.5× 133 0.7× 43 0.2× 75 0.5× 115 0.9× 24 1.1k
Per Ålin Sweden 15 1.8k 4.4× 158 0.8× 154 0.9× 149 1.1× 87 0.7× 23 2.1k
M. Waheed Roomi Canada 22 636 1.6× 145 0.8× 102 0.6× 55 0.4× 277 2.2× 83 1.5k
Manjit K. Saini United States 13 818 2.0× 106 0.5× 122 0.7× 72 0.5× 85 0.7× 16 1.1k
Marie A. Amoruso United States 15 334 0.8× 125 0.6× 41 0.2× 83 0.6× 175 1.4× 26 858
Yasuo Natori Japan 18 516 1.3× 116 0.6× 91 0.5× 73 0.5× 36 0.3× 77 1.1k
Violet Daniel Israel 18 1.2k 2.9× 78 0.4× 111 0.6× 97 0.7× 126 1.0× 38 1.6k
Joan A. Higgins United Kingdom 25 721 1.8× 147 0.8× 307 1.8× 40 0.3× 87 0.7× 67 1.4k
Lorenzo Ferri Italy 14 718 1.8× 247 1.3× 100 0.6× 198 1.4× 183 1.4× 36 1.3k

Countries citing papers authored by G. E. Milo

Since Specialization
Citations

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

Fields of papers citing papers by G. E. Milo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. E. Milo

This figure shows the co-authorship network connecting the top 25 collaborators of G. E. Milo. A scholar is included among the top collaborators of G. E. Milo 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 G. E. Milo. G. E. Milo 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.
Lee, Hakho, T. Prior, B. C. Casto, et al.. (1997). Ineffectiveness of the presence of H-ras/p53 combination of mutations in squamous cell carcinoma cells to induce a conversion of a nontumorigenic to a tumorigenic phenotype. Cell Biology and Toxicology. 13(6). 419–434. 9 indexed citations
3.
Milo, G. E., Duo Li, B. C. Casto, et al.. (1996). Malignant conversion of chemically transformed normal human cells.. Proceedings of the National Academy of Sciences. 93(11). 5229–5234. 5 indexed citations
4.
Milo, G. E., et al.. (1995). A conundrum in molecular toxicology: Molecular and biological changes during neoplastic transformation of human cells. Cell Biology and Toxicology. 11(6). 329–345. 5 indexed citations
5.
Li, Duo, et al.. (1995). Cloning and sequencing of CATR1.3, a human gene associated with tumorigenic conversion.. Proceedings of the National Academy of Sciences. 92(14). 6409–6413. 7 indexed citations
6.
Nesnow, Stephen, et al.. (1990). Quantitative evaluation of the effects of human carcinogens and related chemicals on human foreskin fibroblasts. Cell Biology and Toxicology. 6(2). 171–84. 7 indexed citations
7.
Milo, G. E., et al.. (1990). Nontumorigenic squamous cell carcinoma line converted to tumorigenicity with methyl methanesulfonate without activation of HRAS or MYC.. Proceedings of the National Academy of Sciences. 87(4). 1268–1272. 19 indexed citations
8.
Milo, G. E., et al.. (1988). Cocarcinogenicity of saccharin andn‐alkylnitrosoureas in cultured human diploid fibroblasts. Journal of Toxicology and Environmental Health. 24(3). 413–421. 6 indexed citations
9.
Jeffrey, A.M., et al.. (1985). Preferential binding of benzo[a]pyrene diol epoxide to the linker DNA of human foreskin fibroblasts in S phase in the presence of benzamide.. Proceedings of the National Academy of Sciences. 82(9). 2769–2773. 10 indexed citations
10.
Milo, G. E., et al.. (1982). Multiparametric evaluation of the toxic responses of normal human cells treatedin vitrowith different classes of environmental toxicants. Journal of Toxicology and Environmental Health. 10(1). 143–156. 3 indexed citations
11.
Morisaki, Naho, et al.. (1982). Dipyridamole: an antioxidant that promotes the proliferation of aorta smooth muscle cells.. PubMed. 11(2). 88–107. 23 indexed citations
12.
Gavino, Victor C., et al.. (1981). Effect of polyunsaturated fatty acids and antioxidants on lipid peroxidation in tissue cultures.. Journal of Lipid Research. 22(5). 763–769. 198 indexed citations
13.
Milo, G. E., et al.. (1981). Ultraviolet radiation-induced neoplastic transformation of normal human cells, in vitro. Chemico-Biological Interactions. 36(1). 45–59. 10 indexed citations
14.
Milo, G. E., et al.. (1980). The toxicological evaluation of the mycotoxins T-2 and T-2 tetraol using normal human fibroblasts in vitro. Toxicology and Applied Pharmacology. 52(1). 159–168. 58 indexed citations
15.
Matthews, Richard H., et al.. (1977). Effects of cysteine upon tumor cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2(2). 65–9. 1 indexed citations
16.
Malarkey, William B., et al.. (1977). Defective dopaminergic regulation of prolactin secretion in a rat pituitary tumour cell line. Nature. 266(5603). 640–641. 35 indexed citations
17.
Milo, G. E. & B. I. Sahai Srivastava. (1969). Effect of cytokinins on tobacco mosaic virus production in local-lesion and systemic hosts. Virology. 38(1). 26–31. 23 indexed citations
18.
Milo, G. E. & B. I. Sahai Srivastava. (1969). RNA-DNA hybridization studies with the crown gall bacteria and the tobacco tumor tissue. Biochemical and Biophysical Research Communications. 34(2). 196–199. 34 indexed citations
19.
Milo, G. E. & B. I. Sahai Srivastava. (1969). Effect of cytokinins on tobacco mosaic virus production in tobacco pith tissue cultures. Virology. 39(3). 621–623. 10 indexed citations
20.
Milo, G. E., et al.. (1967). Changes in the ascorbate concentration of pinto bean leaves accompanying the formation of TMV-induced local lesions. Virology. 31(2). 197–206. 9 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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