David L. McCormick
- Molecular Biology top 5%
- Genetics top 2%
- Cancer Research top 5%
- Oncology top 5%
- Biophysics top 0.5%
- Co-authors
- Richard C. MoonIzet M. KapetanovićMiguel MuzzioZhihua HuangWilliam D. JohnsonThomas N. ThompsonR C MoonVernon E. Steele
- Topics
- Estrogen and related hormone effects (36 papers)Retinoids in leukemia and cellular processes (26 papers)Electromagnetic Fields and Biological Effects (21 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David L. McCormick
132 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.7k
- Genetics 753
- Cancer Research 525
- Oncology 478
- Biophysics 467
Countries citing papers authored by David L. McCormick
This map shows the geographic impact of David L. McCormick'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 David L. McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. McCormick more than expected).
Fields of papers citing papers by David L. McCormick
This network shows the impact of papers produced by David L. McCormick. 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 David L. McCormick. The network helps show where David L. McCormick may publish in the future.
Co-authorship network of co-authors of David L. McCormick
This figure shows the co-authorship network connecting the top 25 collaborators of David L. McCormick. A scholar is included among the top collaborators of David L. McCormick 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 David L. McCormick. David L. McCormick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | A Radio Frequency Radiation Reverberation Chamber Exposure System for Rodents | 3 |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 38 | |
| 11 | 93 | |
| 12 | A pharmacokinetic/pharmacodynamic approach to evaluating the safety of zebularine in non-human primates | 10 |
| 13 | 24 | |
| 14 | 31 | |
| 15 | Lack of chemopreventive activity of lycopene in the Wistar-Unilever rat prostate cancer model | 3 |
| 16 | 16 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 14 |
About David L. McCormick
David L. McCormick is a scholar working on Biophysics, Biochemistry and Genetics, having authored 132 papers that have together received 4.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (36 papers), Retinoids in leukemia and cellular processes (26 papers) and Electromagnetic Fields and Biological Effects (21 papers). The work is most often cited by research in Geriatrics and Gerontology (373 citations), Biophysics (467 citations) and Biochemistry (428 citations). David L. McCormick has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard C. Moon, Izet M. Kapetanović, Miguel Muzzio, Zhihua Huang, William D. Johnson, Thomas N. Thompson, R C Moon, Vernon E. Steele, K. V. N. Rao and Ronald A. Lubet. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.