Max Partridge
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Head and Neck Cancer Studies 2
- Oncology 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Xiaohong Huang (3 shared papers)Gabriela Kalna (2 shared papers)Johanna K. Thurlow (2 shared papers)Allison Hills (3 shared papers)Elaine Phillips (3 shared papers)Salwa Suliman (1 shared paper)Himalaya Parajuli (1 shared paper)Daniela Elena Costea (1 shared paper)
- Journals
- Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Oral Oncology (1 paper)Cancer and Metastasis Reviews (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United KingdomAustraliaNorway
In The Last Decade
Max Partridge
9 papers receiving 359 citations
Peers
Comparison fields: 5 of 47
- Otorhinolaryngology 83
- Oncology 178
- Periodontics 26
- Cancer Research 79
- Oral Surgery 13
Countries citing papers authored by Max Partridge
This map shows the geographic impact of Max Partridge'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 Max Partridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Partridge more than expected).
Fields of papers citing papers by Max Partridge
This network shows the impact of papers produced by Max Partridge. 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 Max Partridge. The network helps show where Max Partridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Partridge, 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 | 2013 | 147 | |
| 2 | Detection of rare disseminated tumor cells identifies head and neck cancer patients at risk of treatment failure. | 2003 | 73 |
| 3 | 2010 | 69 | |
| 4 | 2007 | 30 | |
| 5 | 2005 | 21 | |
| 6 | 2005 | 13 | |
| 7 | 2007 | 9 | |
| 8 | A preclinical model of minimal residual cancer in the muscle highlights challenges associated with adenovirus-mediated p53 gene transfer. | 2002 | 3 |
| 9 | 2011 | 1 |
About Max Partridge
Max Partridge is a scholar working on Otorhinolaryngology, Oncology, Genetics, Cancer Research and Surgery, having authored 9 papers that have together received 366 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), RNA modifications and cancer (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Cancer-related Molecular Pathways (1 paper), Virus-based gene therapy research (1 paper), Fibroblast Growth Factor Research (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Otorhinolaryngology (83 citations), Oncology (178 citations), Periodontics (26 citations), Cancer Research (79 citations) and Oral Surgery (13 citations). Max Partridge has collaborated with scholars based in United Kingdom, Australia and Norway. Frequent co-authors include Xiaohong Huang, Gabriela Kalna, Johanna K. Thurlow, Allison Hills, Elaine Phillips, Salwa Suliman, Himalaya Parajuli, Daniela Elena Costea, A. C. Johannessen and John Langdon. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Oral Oncology, Cancer and Metastasis Reviews and Clinical Cancer Research.
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.