Paul Polakis
- Molecular Biology top 0.1%
- Wnt/β-catenin signaling in development and cancer 45
- Cancer-related gene regulation 37
- Protein Kinase Regulation and GTPase Signaling 20
- Ubiquitin and proteasome pathways 10
- Cell Biology top 0.2%
- Oncology top 0.2%
- HER2/EGFR in Cancer Research 15
- Cancer-related Molecular Pathways 14
- Pathology and Forensic Medicine top 0.2%
- Genetic factors in colorectal cancer 12
- Immunology and Allergy top 0.5%
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- Monoclonal and Polyclonal Antibodies Research 18
Paul Polakis
117 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 17.8k
- Cell Biology 3.1k
- Oncology 4.9k
- Pathology and Forensic Medicine 2.6k
- Immunology and Allergy 630
Countries citing papers authored by Paul Polakis
This map shows the geographic impact of Paul Polakis'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 Paul Polakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Polakis more than expected).
Fields of papers citing papers by Paul Polakis
This network shows the impact of papers produced by Paul Polakis. 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 Paul Polakis. The network helps show where Paul Polakis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Polakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 28 | |
| 2 | 2015 | 125 | |
| 3 | 2014 | 20 | |
| 4 | 2013 | 256 | |
| 5 | 2013 | 88 | |
| 6 | 2012 | 19 | |
| 7 | 2011 | 44 | |
| 8 | 2010 | 214 | |
| 9 | 2007 | 70 | |
| 10 | 2007 | 117 | |
| 11 | Armed antibodies targeted to STEAP1 inhibit growth of human prostate xenografts in vivo | 2007 | 1 |
| 12 | 2002 | 50 | |
| 13 | 2001 | 84 | |
| 14 | 2000 | 160 | |
| 15 | The metalloproteinase matrilysin is a target of β-catenin transactivation in intestinal tumorsbreakdown → | 1999 | 581 |
| 16 | The F-box protein β-TrCP associates with phosphorylated β-catenin and regulates its activity in the cellbreakdown → | 1999 | 579 |
| 17 | 1996 | 67 | |
| 18 | 1994 | 6 | |
| 19 | 1992 | 11 | |
| 20 | 1990 | 34 |
About Paul Polakis
Paul Polakis is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 118 papers that have together received 21.9k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (45 papers), Cancer-related gene regulation (37 papers), Protein Kinase Regulation and GTPase Signaling (20 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), HER2/EGFR in Cancer Research (15 papers), Cancer-related Molecular Pathways (14 papers), Genetic factors in colorectal cancer (12 papers) and Ubiquitin and proteasome pathways (10 papers). The work is most often cited by research in Molecular Biology (17.8k citations), Cell Biology (3.1k citations), Oncology (4.9k citations), Pathology and Forensic Medicine (2.6k citations) and Immunology and Allergy (630 citations). Paul Polakis has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Bonnee Rubinfeld, Iris Albert, S Munemitsu, Mark Peifer, Emilio Porfiri, Matthew J. Hart, Frank McCormick, Brian Souza, Brígida Souza and Oliver Müller. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Molecular and Cellular Biology, Science and PLoS ONE.
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.