Frank McCormick
- Molecular Biology top 2%
- Oncology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Genetics top 10%
- Co-authors
- Pierre Teilhard de ChardinMichael KatzLuika TimmermanJuan DíezJoaquím Grego‐BessaJuan Carlos Izpisúa‐BelmonteJosé M. Pérez‐PomaresEsther Bertrán
- Topics
- Protein Kinase Regulation and GTPase Signaling (6 papers)Cancer-related Molecular Pathways (6 papers)Virus-based gene therapy research (5 papers)
- Partner nations
- United StatesTaiwanFinland
In The Last Decade
Frank McCormick
28 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.6k
- Oncology 902
- Cell Biology 486
- Cancer Research 339
- Genetics 285
Countries citing papers authored by Frank McCormick
This map shows the geographic impact of Frank 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 Frank McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank McCormick more than expected).
Fields of papers citing papers by Frank McCormick
This network shows the impact of papers produced by Frank 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 Frank McCormick. The network helps show where Frank McCormick may publish in the future.
Co-authorship network of co-authors of Frank McCormick
This figure shows the co-authorship network connecting the top 25 collaborators of Frank McCormick. A scholar is included among the top collaborators of Frank 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 Frank McCormick. Frank 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 | 1 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 259 | |
| 7 | Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformationbreakdown → | 760 |
| 8 | Selective targeting to the hyperactive beta-catenin/T-cell factor pathway in colon cancer cells. | 37 |
| 9 | 24 | |
| 10 | 320 | |
| 11 | 332 | |
| 12 | 263 | |
| 13 | 67 | |
| 14 | 84 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 195 | |
| 18 | 247 | |
| 19 | 1 | |
| 20 | ras GTPase activating protein: Signal transmitter and signal terminatorbreakdown → | 527 |
About Frank McCormick
Frank McCormick is a scholar working on Biotechnology, Oncology and Molecular Biology, having authored 29 papers that have together received 3.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer-related Molecular Pathways (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Oncology (902 citations) and Cell Biology (486 citations). Frank McCormick has collaborated with scholars based in United States, Taiwan and Finland. Frequent co-authors include Pierre Teilhard de Chardin, Michael Katz, Luika Timmerman, Juan Díez, Joaquím Grego‐Bessa, Juan Carlos Izpisúa‐Belmonte, José M. Pérez‐Pomares, Esther Bertrán, José Luís de la Pompa and Ángel Raya. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.
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.