Charles V. Lowry
- Molecular Biology top 5%
- Cell Biology top 5%
- Plant Science top 10%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Richard S. ZitomerMichio NomuraKelvin J.A. DaviesO. H. LowryKenneth K. KaiserBhuvana BalasubramanianNatalia E. AbramovaJanet M. Davies
- Topics
- Fungal and yeast genetics research (14 papers)Photosynthetic Processes and Mechanisms (8 papers)RNA and protein synthesis mechanisms (7 papers)
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Charles V. Lowry
36 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.2k
- Cell Biology 444
- Plant Science 270
- Physiology 268
- Genetics 204
Countries citing papers authored by Charles V. Lowry
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | 130 | |
| 3 | 27 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 45 | |
| 7 | 35 | |
| 8 | 125 | |
| 9 | 2 | |
| 10 | 28 | |
| 11 | 64 | |
| 12 | 63 | |
| 13 | 27 | |
| 14 | 26 | |
| 15 | 89 | |
| 16 | 86 | |
| 17 | 198 | |
| 18 | 53 | |
| 19 | 48 | |
| 20 | 173 |
About Charles V. Lowry
Charles V. Lowry is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 36 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (14 papers), Photosynthetic Processes and Mechanisms (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Aging (50 citations) and Cell Biology (444 citations). Charles V. Lowry has collaborated with scholars based in United States, United Kingdom and Spain. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.