Charles V. Lowry

3.4k total citations
36 papers, 2.7k citations indexed

About

Charles V. Lowry is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Charles V. Lowry has authored 36 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Plant Science. Recurrent topics in Charles V. Lowry's work include Fungal and yeast genetics research (14 papers), Photosynthetic Processes and Mechanisms (8 papers) and RNA and protein synthesis mechanisms (7 papers). Charles V. Lowry is often cited by papers focused on Fungal and yeast genetics research (14 papers), Photosynthetic Processes and Mechanisms (8 papers) and RNA and protein synthesis mechanisms (7 papers). Charles V. Lowry collaborates with scholars based in United States, United Kingdom and Spain. Charles V. Lowry's co-authors include Richard S. Zitomer, Michio Nomura, Kelvin J.A. Davies, O. H. Lowry, Kenneth K. Kaiser, Bhuvana Balasubramanian, Natalia E. Abramova, Janet M. Davies, Michelle Ozaki and Peter Traub and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Charles V. Lowry

36 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles V. Lowry United States 28 2.2k 444 270 268 204 36 2.7k
Andreas Hartig Austria 29 2.8k 1.3× 276 0.6× 308 1.1× 168 0.6× 117 0.6× 65 3.1k
Jean‐Marie Buhler France 32 2.6k 1.2× 172 0.4× 371 1.4× 134 0.5× 261 1.3× 50 3.0k
Carlos J. Gimeno United States 13 2.6k 1.2× 491 1.1× 578 2.1× 494 1.8× 186 0.9× 14 3.5k
Iliana Ferrero Italy 27 2.2k 1.0× 173 0.4× 332 1.2× 66 0.2× 143 0.7× 57 2.6k
Bertrand Daignan‐Fornier France 29 2.3k 1.0× 314 0.7× 371 1.4× 60 0.2× 120 0.6× 70 2.7k
Joanna Rytka Poland 24 1.8k 0.8× 318 0.7× 236 0.9× 60 0.2× 85 0.4× 77 2.0k
Suresh S. Tate United States 30 1.5k 0.7× 217 0.5× 126 0.5× 322 1.2× 163 0.8× 61 3.2k
Jay L. Brewster United States 12 1.7k 0.8× 476 1.1× 446 1.7× 58 0.2× 66 0.3× 15 1.9k
Joan E. McEwen United States 23 1.7k 0.8× 109 0.2× 208 0.8× 135 0.5× 242 1.2× 38 2.1k
Philippe Savarin France 23 1.3k 0.6× 250 0.6× 116 0.4× 183 0.7× 288 1.4× 48 1.8k

Countries citing papers authored by Charles V. Lowry

Since Specialization
Citations

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

Fields of papers citing papers by Charles V. Lowry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles V. Lowry

This figure shows the co-authorship network connecting the top 25 collaborators of Charles V. Lowry. A scholar is included among the top collaborators of Charles V. Lowry 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 V. Lowry. Charles V. Lowry 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.
2.
Abramova, Natalia E., et al.. (2001). Reciprocal Regulation of Anaerobic and Aerobic Cell Wall Mannoprotein Gene Expression in Saccharomyces cerevisiae. Journal of Bacteriology. 183(9). 2881–2887. 130 indexed citations
3.
Chaturvedi, Sudha, Andrew J. Hamilton, Paul Hobby, et al.. (2001). Molecular cloning, phylogenetic analysis and three-dimensional modeling of Cu,Zn superoxide dismutase ( CnSOD1 ) from three varieties of Cryptococcus neoformans. Gene. 268(1-2). 41–51. 27 indexed citations
4.
Brien, Thomas P., et al.. (1999). Telomerase activity in benign and malignant cytologic fluids. Cancer. 87(2). 93–99. 22 indexed citations
5.
Brien, Thomas P., et al.. (1999). Telomerase activity in benign and malignant cytologic fluids. Cancer. 87(2). 93–99. 3 indexed citations
6.
Cohen, Brian D., et al.. (1997). The DAN1 gene of S. cerevisiae is regulated in parallel with the hypoxic genes, but by a different mechanism. Gene. 192(2). 199–205. 45 indexed citations
7.
Kallakury, Bhaskar, Thomas P. Brien, Charles V. Lowry, et al.. (1997). Telomerase Activity in Human Benign Prostate Tissue and Prostatic Adenocarcinomas. Diagnostic Molecular Pathology. 6(4). 192–198. 35 indexed citations
8.
Davies, Janet M., Charles V. Lowry, & Kelvin J.A. Davies. (1995). Transient Adaptation to Oxidative Stress in Yeast. Archives of Biochemistry and Biophysics. 317(1). 1–6. 125 indexed citations
9.
Lowry, Charles V., et al.. (1994). HASTEN: A technique to identify the primary structure of terminal DNA hairpins. Nucleic Acids Research. 22(7). 1316–1317. 2 indexed citations
10.
Crawford, Dana R., et al.. (1994). [16] Assessing gene expression during oxidative stress. Methods in enzymology on CD-ROM/Methods in enzymology. 234. 175–217. 28 indexed citations
11.
12.
Lowry, Charles V., M. Esperanza Cerdán, & Richard S. Zitomer. (1990). A hypoxic consensus operator and a constitutive activation region regulate the ANB1 gene of Saccharomyces cerevisiae.. Molecular and Cellular Biology. 10(11). 5921–5926. 63 indexed citations
13.
Lowry, Charles V. & Richard S. Zitomer. (1988). ROX1 Encodes a Heme-Induced Repression Factor Regulating ANB1 and CYC7 of Saccharomyces cerevisiae. Molecular and Cellular Biology. 8(11). 4651–4658. 27 indexed citations
14.
Lowry, Charles V., et al.. (1986). Negative regulation of the Saccharomyces cerevisiae ANB1 gene by heme, as mediated by the ROX1 gene product.. Molecular and Cellular Biology. 6(12). 4145–4148. 26 indexed citations
15.
Lowry, Charles V., et al.. (1983). Modulator sequences mediate oxygen regulation of CYC1 and a neighboring gene in yeast.. Proceedings of the National Academy of Sciences. 80(1). 151–155. 89 indexed citations
16.
Hintz, C. S., R. D. Fell, J. L. Ivy, et al.. (1982). Metabolite changes in individual rat muscle fibers during stimulation. American Journal of Physiology-Cell Physiology. 242(3). C218–C228. 86 indexed citations
17.
Lowry, Charles V., et al.. (1978). Enzyme patterns in single human muscle fibers.. Journal of Biological Chemistry. 253(22). 8269–8277. 198 indexed citations
18.
M.‐Y., Maggie, Charles V. Lowry, & Oliver H. Lowry. (1978). An improved enzymatic cycle for nicotinamide-adenine dinucleotide phosphate. Analytical Biochemistry. 89(1). 119–129. 53 indexed citations
19.
Lowry, Charles V. & J E Dahlberg. (1971). Structural Differences between the 16S Ribosomal RNA of E. coli and its Precursor. Nature New Biology. 232(28). 52–54. 48 indexed citations
20.
Nomura, Michio, San-ichiro Mizushima, Michelle Ozaki, Peter Traub, & Charles V. Lowry. (1969). Structure and Function of Ribosomes and Their Molecular Components. Cold Spring Harbor Symposia on Quantitative Biology. 34(0). 49–61. 173 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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