Peter Mullen
Impact in
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Oncology 27
- HER2/EGFR in Cancer Research 9
- Co-authors
- Simon P. Langdon (28 shared papers)Linda Z. Penn (7 shared papers)David J. Harrison (38 shared papers)Rosemary Yu (5 shared papers)Joseph Longo (4 shared papers)Michael C. Archer (1 shared paper)Dana Faratian (15 shared papers)Carol Ward (6 shared papers)
- Journals
- Cancer Research (8 papers)British Journal of Cancer (8 papers)Oncotarget (5 papers)Clinical Cancer Research (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Peter Mullen
82 papers receiving 3.4k citations
Peter Mullen's Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 1.0k
- Oncology 682
- Molecular Biology 1.7k
- Reproductive Medicine 134
- Cell Biology 229
Countries citing papers authored by Peter Mullen
This map shows the geographic impact of Peter Mullen'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 Peter Mullen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mullen more than expected).
Fields of papers citing papers by Peter Mullen
This network shows the impact of papers produced by Peter Mullen. 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 Peter Mullen. The network helps show where Peter Mullen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Mullen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The interplay between cell signalling and the mevalonate pathway in cancer Hit paper breakdown → | 2016 | 513 |
| 2 | 2018 | 203 | |
| 3 | 2012 | 163 | |
| 4 | 2010 | 142 | |
| 5 | 2009 | 139 | |
| 6 | 2005 | 128 | |
| 7 | 2021 | 97 | |
| 8 | 1997 | 91 | |
| 9 | 2015 | 75 | |
| 10 | 2014 | 72 | |
| 11 | 2009 | 68 | |
| 12 | 2014 | 66 | |
| 13 | 2007 | 65 | |
| 14 | 2019 | 64 | |
| 15 | 2011 | 64 | |
| 16 | 2001 | 63 | |
| 17 | 2012 | 58 | |
| 18 | 2013 | 54 | |
| 19 | 2017 | 53 | |
| 20 | 1996 | 53 |
About Peter Mullen
Peter Mullen is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 85 papers that have together received 3.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Cancer Genomics and Diagnostics (8 papers), Estrogen and related hormone effects (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer, Lipids, and Metabolism (7 papers), Cell Adhesion Molecules Research (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Renal cell carcinoma treatment (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (682 citations), Molecular Biology (1.7k citations), Reproductive Medicine (134 citations) and Cell Biology (229 citations). Peter Mullen has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Simon P. Langdon, Linda Z. Penn, David J. Harrison, Rosemary Yu, Joseph Longo, Michael C. Archer, Dana Faratian, Carol Ward, William R. Miller and John F. Smyth. Their work appears in journals such as Cancer Research, British Journal of Cancer, Oncotarget, Clinical Cancer Research and The Journal of Steroid Biochemistry and Molecular Biology.
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.