Frank McCormick

3.9k total citations · 2 hit papers
29 papers, 3.3k citations indexed

About

Frank McCormick is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Frank McCormick has authored 29 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Genetics. Recurrent topics in Frank McCormick's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer-related Molecular Pathways (6 papers) and Virus-based gene therapy research (5 papers). Frank McCormick is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer-related Molecular Pathways (6 papers) and Virus-based gene therapy research (5 papers). Frank McCormick collaborates with scholars based in United States, Taiwan and Finland. Frank McCormick's 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 and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Frank McCormick

28 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformation

2003 760 citations Luika Timmerman, Joaquím Grego‐Bessa et al. Genes & Development profile →
ras GTPase activating protein: Signal transmitter and signal terminator

1989 527 citations Frank McCormick Cell profile →

Peers

Frank McCormick

MB

ONCOL

CB

CR

GENET

Yvona Ward United States

Yasuhisa Fukui Japan

Timothy M. Thomson Spain

Andrew C.G. Porter United Kingdom

Hendrik Gille Germany

Christian Touriol France

Karen A. Cadwallader United Kingdom

Teresa L. Burgess United States

Beric R. Henderson Australia

C. Chandra Kumar United States

Yvona Ward United States

Frank McCormick

2.6k ×1.0

MB

802 ×0.9

ONCOL

524 ×1.1

CB

397 ×1.2

CR

171 ×0.6

GENET

Citations per year, relative to Frank McCormick Frank McCormick (= 1×) peers Yvona Ward

Countries citing papers authored by Frank McCormick

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Alexander, Patrick, Albert H. Chan, Monalisa Swain, et al.. (2025). Biophysical and structural analysis of KRAS switch-II pocket inhibitors reveals allele-specific binding constraints. Journal of Biological Chemistry. 301(7). 110331–110331. 1 indexed citations

2.

Song, Lin Frank, Jun Pei, Edmond Y. Lau, et al.. (2025). How KRAS Mutations Impair Intrinsic GTP Hydrolysis: Experimental and Computational Investigations. Journal of Chemical Information and Modeling. 65(23). 12822–12833.

3.

Manoharan, Ganesh babu, et al.. (2021). A Covalent Calmodulin Inhibitor as a Tool to Study Cellular Mechanisms of K-Ras-Driven Stemness. Frontiers in Cell and Developmental Biology. 9. 665673–665673. 14 indexed citations

4.

Shah, Khyati N., Julia Rotow, Julia Rohrberg, et al.. (2019). Abstract 2902: Non-genetic TPX2/AURKA signaling facilitates tumor evolution in EGFR-TKI resistance in NSCLC. Cancer Research. 79(13_Supplement). 2902–2902. 2 indexed citations

5.

McCormick, Frank. (2011). Cancer therapy based on oncogene addiction. Journal of Surgical Oncology. 103(6). 464–467. 40 indexed citations

6.

Gysin, Stephan, Megan B. Salt, Amy Young, & Frank McCormick. (2011). Therapeutic Strategies for Targeting Ras Proteins. Genes & Cancer. 2(3). 359–372. 259 indexed citations

7.

Timmerman, Luika, Joaquím Grego‐Bessa, Ángel Raya, et al.. (2003). Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformation. Genes & Development. 18(1). 99–115. 760 indexed citations breakdown →

8.

Chen, Ruey‐Hwa & Frank McCormick. (2001). Selective targeting to the hyperactive beta-catenin/T-cell factor pathway in colon cancer cells.. PubMed. 61(11). 4445–9. 37 indexed citations

9.

McCormick, Frank. (2000). Small-molecule inhibitors of cell signaling. Current Opinion in Biotechnology. 11(6). 593–597. 24 indexed citations

10.

Ries, Stefan, Douglas Woods, Ohad Shifman, et al.. (2000). Opposing Effects of Ras on p53. Cell. 103(2). 321–330. 320 indexed citations

11.

Chardin, Pierre Teilhard de & Frank McCormick. (1999). Brefeldin A. Cell. 97(2). 153–155. 332 indexed citations

12.

Katz, Michael & Frank McCormick. (1997). Signal transduction from multiple Ras effectors. Current Opinion in Genetics & Development. 7(1). 75–79. 263 indexed citations

13.

Lock, Peter, Stefano Fumagalli, Paul Polakis, Frank McCormick, & Sara A. Courtneidge. (1996). The Human p62 cDNA Encodes Sam68 and Not the RasGAP-Associated p62 Protein. Cell. 84(1). 23–24. 67 indexed citations

14.

Kirn, David H. & Frank McCormick. (1996). Replicating viruses as selective cancer therapeutics. Molecular Medicine Today. 2(12). 519–527. 84 indexed citations

15.

Oliff, Allen, W. Wayt Gibbs, & Frank McCormick. (1996). New Molecular Targets for Cancer Therapy. Scientific American. 275(3). 144–149. 24 indexed citations

16.

Rubinfeld, Bonnee, et al.. (1994). The RAP1GA1 locus for human Rap1-GTPase activating protein 1 maps to chromosome 1p36.1→p35. Cytogenetic and Genome Research. 66(1). 18–21. 6 indexed citations

17.

McCormick, Frank. (1994). Activators and effectors of ras p21 proteins. Current Opinion in Genetics & Development. 4(1). 71–76. 195 indexed citations

18.

Wong, Gail A., Oliver Müller, Robin Clark, et al.. (1992). Molecular cloning and nucleic acid binding properties of the GAP-associated tyrosine phosphoprotein p62. Cell. 69(3). 551–558. 247 indexed citations

19.

McCormick, Frank. (1989). 5 ras Oncogenes. Cold Spring Harbor Monograph Archive. 18. 125–145. 1 indexed citations

20.

McCormick, Frank. (1989). ras GTPase activating protein: Signal transmitter and signal terminator. Cell. 56(1). 5–8. 527 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact