John S. Bertram

7.8k total citations · 1 hit paper
84 papers, 6.1k citations indexed

About

John S. Bertram is a scholar working on Molecular Biology, Biochemistry and Cancer Research. According to data from OpenAlex, John S. Bertram has authored 84 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 24 papers in Biochemistry and 12 papers in Cancer Research. Recurrent topics in John S. Bertram's work include Antioxidant Activity and Oxidative Stress (24 papers), Retinoids in leukemia and cellular processes (23 papers) and Connexins and lens biology (17 papers). John S. Bertram is often cited by papers focused on Antioxidant Activity and Oxidative Stress (24 papers), Retinoids in leukemia and cellular processes (23 papers) and Connexins and lens biology (17 papers). John S. Bertram collaborates with scholars based in United States, Canada and Germany. John S. Bertram's co-authors include Charles Heidelberger, Robert V. Cooney, Lixin Zhang, Parmender P. Mehta, Catherine A. Reznikoff, David Brankow, Werner R. Loewenstein, Laurence N. Kolonel, Frank L. Meyskens and Przemysław Janik and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

John S. Bertram

83 papers receiving 5.7k citations

Hit Papers

Quantitative and qualitative studies of chemical transfor... 1973 2026 1990 2008 1973 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John S. Bertram United States 36 3.5k 1.8k 1.1k 690 624 84 6.1k
Mauro Piantelli Italy 44 2.7k 0.8× 674 0.4× 767 0.7× 1.6k 2.4× 577 0.9× 180 6.3k
Bob G. Sanders United States 34 1.9k 0.5× 1.3k 0.7× 586 0.6× 341 0.5× 386 0.6× 112 3.3k
Joseph Wu United States 48 3.0k 0.9× 618 0.3× 484 0.5× 793 1.1× 413 0.7× 236 6.9k
Dianne L. Newton United States 35 3.1k 0.9× 544 0.3× 466 0.4× 681 1.0× 689 1.1× 87 4.6k
R. K. Boutwell United States 43 4.9k 1.4× 297 0.2× 1.4k 1.3× 795 1.2× 557 0.9× 128 7.0k
Jean‐Claude Mazière France 33 1.8k 0.5× 685 0.4× 618 0.6× 351 0.5× 221 0.4× 142 4.1k
Sharad S. Singhal United States 48 5.3k 1.5× 393 0.2× 785 0.7× 1.8k 2.5× 449 0.7× 197 7.6k
Levy Kopelovich United States 50 4.8k 1.4× 497 0.3× 1.8k 1.7× 2.5k 3.7× 1.1k 1.7× 214 9.2k
Shazib Pervaiz Singapore 58 5.9k 1.7× 425 0.2× 1.5k 1.4× 1.3k 1.9× 319 0.5× 176 9.9k
Andreas I. Constantinou United States 38 2.1k 0.6× 586 0.3× 326 0.3× 797 1.2× 907 1.5× 99 4.5k

Countries citing papers authored by John S. Bertram

Since Specialization
Citations

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

Fields of papers citing papers by John S. Bertram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Bertram. 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 John S. Bertram. The network helps show where John S. Bertram may publish in the future.

Co-authorship network of co-authors of John S. Bertram

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Bertram. A scholar is included among the top collaborators of John S. Bertram 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 John S. Bertram. John S. Bertram 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.
Bertram, John S., et al.. (2005). Cancer prevention by retinoids and carotenoids: Independent action on a common target. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1740(2). 170–178. 72 indexed citations
2.
King, Timothy J. & John S. Bertram. (2005). Connexins as targets for cancer chemoprevention and chemotherapy. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1719(1-2). 146–160. 92 indexed citations
3.
Hix, Laura M., Samuel F. Lockwood, & John S. Bertram. (2004). Upregulation of connexin 43 protein expression and increased gap junctional communication by water soluble disodium disuccinate astaxanthin derivatives. Cancer Letters. 211(1). 25–37. 40 indexed citations
4.
Bertram, John S., et al.. (2002). Cancer Chemoprevention by Connexins. Cancer and Metastasis Reviews. 21(3-4). 199–216. 32 indexed citations
5.
6.
Bondarev, I. E., et al.. (2001). Cloning and Functional Expression of a Novel Human Connexin-25 Gene. Cell Communication & Adhesion. 8(4-6). 167–171. 10 indexed citations
8.
Bertram, John S.. (2000). The molecular biology of cancer. Molecular Aspects of Medicine. 21(6). 167–223. 377 indexed citations
10.
Bertram, John S.. (1994). The chemoprevention of cancer by dietary carotenoids: Studies in mouse and human cells. Pure and Applied Chemistry. 66(5). 1025–1032. 20 indexed citations
11.
Guo, Huiming, et al.. (1992). Gap-Junctional Protein Connexin 43 Is Expressed in Dermis and Epidermis of Human Skin: Differential Modulation by Retinoids. Journal of Investigative Dermatology. 99(4). 460–467. 60 indexed citations
12.
Cooney, Robert V., et al.. (1991). Relationship between dietary, serum, and tissue levels of carotenoids. Cancer Letters. 61(1). 81–87. 25 indexed citations
13.
Bertram, John S., Mohammad Zakir Hossain, Ao Pung, & Joyce E. Rundhaug. (1989). Development of in vitro systems for chemoprevention research. Preventive Medicine. 18(5). 562–575. 9 indexed citations
14.
Rundhaug, Joyce E., et al.. (1987). Differential uptake, binding, and metabolism of retinol and retinoic acid by 10T1/2 cells.. PubMed. 47(21). 5637–43. 17 indexed citations
15.
Mehta, Parmender P., John S. Bertram, & Werner R. Loewenstein. (1986). Growth inhibition of transformed cells correlates with their junctional communication with normal cells. Cell. 44(1). 187–196. 334 indexed citations
16.
Tomei, Licia & John S. Bertram. (1978). Restoration of growth control in malignantly transformed mouse fibroblasts grown in a chemically defined medium.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(2). 444–51. 5 indexed citations
17.
Bertram, John S., Paul R. Libby, & Wallace M. LeStourgeon. (1977). Changes in nuclear actin levels with change in growth state of C3H/10T1/2 cells and the lack of response in malignantly transformed cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 37(11). 4104–11. 8 indexed citations
18.
Sarrif, Awni M., John S. Bertram, Michael E. Kamarck, & Charles Heidelberger. (1975). The isolation and characterization of polycyclic hydrocarbon-binding proteins from mouse liver and skin cytosols.. PubMed. 35(3). 816–24. 27 indexed citations
19.
Peterson, A.R., John S. Bertram, & Charles Heidelberger. (1974). Cell cycle dependency of DNA damage and repair in transformable mouse fibroblasts treated with N-methyl-N'--nitro-N-nitrosoguanidine.. Cancer Research. 34(7). 1600–7. 20 indexed citations
20.
Bertram, John S. & Charles Heidelberger. (1973). Cell-cycle dependency of chemical oncogenic transformation in culture. Abstr.. The Mouseion at the JAXlibrary (Jackson Laboratory). 14. 70. 3 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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