Charles R. Cantor

56.1k total citations · 14 hit papers
341 papers, 34.7k citations indexed

About

Charles R. Cantor is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Charles R. Cantor has authored 341 papers receiving a total of 34.7k indexed citations (citations by other indexed papers that have themselves been cited), including 245 papers in Molecular Biology, 39 papers in Genetics and 31 papers in Cell Biology. Recurrent topics in Charles R. Cantor's work include RNA and protein synthesis mechanisms (96 papers), DNA and Nucleic Acid Chemistry (65 papers) and Advanced biosensing and bioanalysis techniques (44 papers). Charles R. Cantor is often cited by papers focused on RNA and protein synthesis mechanisms (96 papers), DNA and Nucleic Acid Chemistry (65 papers) and Advanced biosensing and bioanalysis techniques (44 papers). Charles R. Cantor collaborates with scholars based in United States, United Kingdom and Germany. Charles R. Cantor's co-authors include James J. Collins, David C. Schwartz, Timothy S. Gardner, Michael L. Shelanski, Cassandra L. Smith, Felicia Gaskin, Paul Schimmel, Takeshi Sano, Mads Kærn and William J. Blake and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Charles R. Cantor

339 papers receiving 32.7k citations

Hit Papers

Construction of a genetic... 1970 2026 1988 2007 2000 1984 1973 2003 1970 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles R. Cantor United States 85 24.3k 5.8k 3.1k 2.7k 2.5k 341 34.7k
David C. Ward United States 79 16.7k 0.7× 7.7k 1.3× 1.4k 0.5× 1.4k 0.5× 1.1k 0.4× 302 26.4k
Ira Pastan United States 146 45.5k 1.9× 10.2k 1.8× 7.5k 2.5× 2.1k 0.8× 5.2k 2.1× 1.2k 90.1k
Leroy Hood United States 140 43.1k 1.8× 9.4k 1.6× 2.8k 0.9× 3.1k 1.1× 591 0.2× 730 75.8k
Thomas E. Ferrin United States 43 35.6k 1.5× 4.8k 0.8× 3.9k 1.3× 1.4k 0.5× 894 0.4× 93 55.6k
Conrad C. Huang United States 31 31.3k 1.3× 4.4k 0.8× 3.6k 1.2× 1.2k 0.4× 765 0.3× 48 49.3k
Daniel E. Koshland United States 93 22.3k 0.9× 4.6k 0.8× 4.9k 1.6× 2.1k 0.8× 525 0.2× 454 32.3k
Sergio Grinstein Canada 118 28.9k 1.2× 2.3k 0.4× 10.4k 3.4× 2.0k 0.7× 816 0.3× 578 53.1k
Andrej Săli United States 107 50.4k 2.1× 5.2k 0.9× 4.8k 1.6× 1.6k 0.6× 526 0.2× 381 66.1k
Jeremy C. Smith United States 92 32.0k 1.3× 4.2k 0.7× 3.3k 1.1× 5.5k 2.0× 373 0.1× 848 58.8k
Brian T. Chait United States 112 36.6k 1.5× 3.3k 0.6× 3.7k 1.2× 2.5k 0.9× 322 0.1× 434 55.5k

Countries citing papers authored by Charles R. Cantor

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Cantor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles R. Cantor. 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 Charles R. Cantor. The network helps show where Charles R. Cantor may publish in the future.

Co-authorship network of co-authors of Charles R. Cantor

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Cantor. A scholar is included among the top collaborators of Charles R. Cantor 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 Charles R. Cantor. Charles R. Cantor 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.
Köhler, Christina, Nadine Bonberg, Maike Ahrens, et al.. (2019). Noninvasive diagnosis of urothelial cancer in urine using DNA hypermethylation signatures—Gender matters. International Journal of Cancer. 145(10). 2861–2872. 10 indexed citations
2.
Putin, Evgeny, Polina Mamoshina, Alexander Aliper, et al.. (2016). Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging. 8(5). 1021–1033. 231 indexed citations
3.
Cantor, Charles R., et al.. (2012). Genetic switchboard for synthetic biology applications. Proceedings of the National Academy of Sciences. 109(15). 5850–5855. 133 indexed citations
4.
Gorlov, Ivan P., Triantafillos Liloglou, Jonathan P. Myles, et al.. (2007). Seizure 6-Like ( SEZ6L ) Gene and Risk for Lung Cancer. Cancer Research. 67(17). 8406–8411. 26 indexed citations
5.
Demidov, Vadim V., Nikolay V. Dokholyan, Poornima Chalasani, et al.. (2006). Fast complementation of split fluorescent protein triggered by DNA hybridization. Proceedings of the National Academy of Sciences. 103(7). 2052–2056. 70 indexed citations
6.
Ehrich, Mathias, John K. Field, Triantafillos Liloglou, et al.. (2006). Cytosine Methylation Profiles as a Molecular Marker in Non–Small Cell Lung Cancer. Cancer Research. 66(22). 10911–10918. 47 indexed citations
7.
Blake, William J., Gábor Balázsi, Michael A. Kohanski, et al.. (2006). Phenotypic Consequences of Promoter-Mediated Transcriptional Noise. Molecular Cell. 24(6). 853–865. 465 indexed citations
8.
Boom, Dirk van den, Martin Beaulieu, Paul Oeth, et al.. (2004). MALDI-TOF MS: a platform technology for genetic discovery. International Journal of Mass Spectrometry. 238(2). 173–188. 14 indexed citations
9.
Isaacs, Farren J., Daniel J. Dwyer, Chunming Ding, et al.. (2004). Engineered riboregulators enable post-transcriptional control of gene expression. Nature Biotechnology. 22(7). 841–847. 425 indexed citations
10.
Kammerer, Stefan, Lora Hamuro, Yuliang Ma, et al.. (2003). Amino acid variant in the kinase binding domain of dual-specific A kinase-anchoring protein 2: A disease susceptibility polymorphism. Proceedings of the National Academy of Sciences. 100(7). 4066–4071. 80 indexed citations
11.
Graber, Joel H., Maryanne J. O’Donnell, Cassandra L. Smith, & Charles R. Cantor. (1998). Advances in DNA diagnostics. Current Opinion in Biotechnology. 9(1). 14–18. 21 indexed citations
12.
González, Martı́n, Luís A. Bagatolli, Izaskun Echabe, et al.. (1997). Interaction of Biotin with Streptavidin. Journal of Biological Chemistry. 272(17). 11288–11294. 200 indexed citations
13.
Saffran, Wilma A. & Charles R. Cantor. (1984). Mutagenic SOS repair of site-specific psoralen damage in plasmid pBR322. Journal of Molecular Biology. 178(3). 595–609. 25 indexed citations
14.
Wollenzien, Paul & Charles R. Cantor. (1982). Gel electrophoretic technique for separating crosslinked RNAs. Journal of Molecular Biology. 159(1). 151–166. 36 indexed citations
15.
Cantor, Charles R. & Paul Schimmel. (1980). Techniques for the study of biological structure and function. 139 indexed citations
16.
Crothers, Donald M., et al.. (1980). Effect of DNA length on the nucleosome low salt transition. Nucleic Acids Research. 8(11). 2475–2488. 17 indexed citations
17.
Cantor, Charles R.. (1979). tRNA-Ribosome Interactions. Cold Spring Harbor Monograph Archive. 363–392. 3 indexed citations
18.
Cantor, Charles R., et al.. (1974). Fluorescence Spectroscopic Approaches to the Study of Three-dimensional Structure of Ribosomes. Cold Spring Harbor Monograph Archive. 4. 587–599. 2 indexed citations
19.
Cantor, Charles R., et al.. (1974). Affinity Labeling Techniques for Examining Functional Sites of Ribosomes. Cold Spring Harbor Monograph Archive. 4. 573–585. 5 indexed citations
20.
Tao, Terence, James H. Nelson, & Charles R. Cantor. (1970). Conformational studies on transfer ribonucleic acid. Fluorescence lifetime and nanosecond depolarization measurements on bound ethidium bromide. Biochemistry. 9(18). 3514–3524. 98 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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