Lisa Patterson
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Ubiquitin and proteasome pathways 1
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- Neurobiology and Insect Physiology Research 1
- Co-authors
- David Hardisson (1 shared paper)Suzanne A. Eccles (1 shared paper)Miriam Zimmermann (1 shared paper)Marta Mendiola (1 shared paper)Frances Boxall (1 shared paper)C. Lomas (1 shared paper)William Court (1 shared paper)Sharon Gowan (1 shared paper)
- Journals
- BMC Biology (1 paper)Labour / Le Travail (1 paper)ANZ Journal of Surgery (1 paper)European Journal of Pharmacology (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Lisa Patterson
10 papers receiving 1.1k citations
Lisa Patterson's Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 403
- Biophysics 79
- Cellular and Molecular Neuroscience 192
- Biomedical Engineering 424
- Cell Biology 139
Countries citing papers authored by Lisa Patterson
This map shows the geographic impact of Lisa Patterson'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 Lisa Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Patterson more than expected).
Fields of papers citing papers by Lisa Patterson
This network shows the impact of papers produced by Lisa Patterson. 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 Lisa Patterson. The network helps show where Lisa Patterson may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Patterson, 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 | Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation Hit paper breakdown → | 2012 | 796 |
| 2 | 1986 | 209 | |
| 3 | Preclinical antitumor activity and pharmacodynamic studies with the farnesyl protein transferase inhibitor R115777 in human breast cancer. | 2001 | 78 |
| 4 | 2011 | 30 | |
| 5 | 2021 | 3 | |
| 6 | 2005 | 3 | |
| 7 | 2011 | 2 | |
| 8 | 1983 | 2 | |
| 9 | 2002 | 1 | |
| 10 | 2002 | 1 |
About Lisa Patterson
Lisa Patterson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Health Information Management and Sociology and Political Science, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Omental and Epiploic Conditions (1 paper), Ubiquitin and proteasome pathways (1 paper), Pharmaceutical industry and healthcare (1 paper), Microtubule and mitosis dynamics (1 paper), Neurobiology and Insect Physiology Research (1 paper), Information and Cyber Security (1 paper), Olfactory and Sensory Function Studies (1 paper) and Privacy, Security, and Data Protection (1 paper). The work is most often cited by research in Oncology (403 citations), Biophysics (79 citations), Cellular and Molecular Neuroscience (192 citations), Biomedical Engineering (424 citations) and Cell Biology (139 citations). Lisa Patterson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include David Hardisson, Suzanne A. Eccles, Miriam Zimmermann, Marta Mendiola, Frances Boxall, C. Lomas, William Court, Sharon Gowan, Maria Vinci and G.Keith Matheson. Their work appears in journals such as BMC Biology, Labour / Le Travail, ANZ Journal of Surgery, European Journal of Pharmacology and Academic Medicine.
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.