C.A. Smith
- Molecular Biology top 10%
- Plant Science top 10%
- Genetics top 10%
- Cancer Research
- Ecology top 10%
- Co-authors
- John‐Stephen TaylorAziz SancarAlan D. FrankelAnne NicholsScott KeeneyJoyce T. ReardonStuart LinnKhushbeer Malhotra
- Topics
- RNA and protein synthesis mechanisms (9 papers)Steroid Chemistry and Biochemistry (7 papers)DNA Repair Mechanisms (6 papers)
- Partner nations
- United StatesLebanonPakistan
In The Last Decade
C.A. Smith
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.2k
- Plant Science 228
- Genetics 189
- Cancer Research 149
- Ecology 141
Countries citing papers authored by C.A. Smith
This map shows the geographic impact of C.A. Smith'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 C.A. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.A. Smith more than expected).
Fields of papers citing papers by C.A. Smith
This network shows the impact of papers produced by C.A. Smith. 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 C.A. Smith. The network helps show where C.A. Smith may publish in the future.
Co-authorship network of co-authors of C.A. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of C.A. Smith. A scholar is included among the top collaborators of C.A. Smith 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 C.A. Smith. C.A. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | Correlations among p53, Her-2/neu, and ras overexpression and aneuploidy by multiparameter flow cytometry in human breast cancer: evidence for a common phenotypic evolutionary pattern in infiltrating ductal carcinomas. | 41 |
| 11 | 71 | |
| 12 | Intracellular coexpression of epidermal growth factor receptor, Her-2/neu, and p21ras in human breast cancers: evidence for the existence of distinctive patterns of genetic evolution that are common to tumors from different patients. | 23 |
| 13 | 49 | |
| 14 | 83 | |
| 15 | 18 | |
| 16 | 76 | |
| 17 | 36 | |
| 18 | 45 | |
| 19 | Properties of synovial cells in culture. | 29 |
| 20 | Resistance of rheumatoid synovial cells to infection with exogenous virus abstract component newcastle disease virus | 10 |
About C.A. Smith
C.A. Smith is a scholar working on Virology, Pharmacology and Toxicology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Steroid Chemistry and Biochemistry (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Virology (64 citations) and Cancer Research (149 citations). C.A. Smith has collaborated with scholars based in United States, Lebanon and Pakistan. Frequent co-authors include John‐Stephen Taylor, Aziz Sancar, Alan D. Frankel, Anne Nichols, Scott Keeney, Joyce T. Reardon, Stuart Linn, Khushbeer Malhotra, Valérie Calabro and Daniel Svoboda. Their work appears in journals such as Cell, 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.