Max Partridge

414 total citations
9 papers, 337 citations indexed

About

Max Partridge is a scholar working on Oncology, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Max Partridge has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Otorhinolaryngology. Recurrent topics in Max Partridge's work include Head and Neck Cancer Studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Virus-based gene therapy research (2 papers). Max Partridge is often cited by papers focused on Head and Neck Cancer Studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Virus-based gene therapy research (2 papers). Max Partridge collaborates with scholars based in United Kingdom, United States and Australia. Max Partridge's co-authors include Xiaohong Huang, Johanna Thurlow, Gabriela Kalna, Allison Hills, Himalaya Parajuli, Salwa Suliman, Elaine Phillips, Daniela Elena Costea, John Langdon and A. C. Johannessen and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Max Partridge

9 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Max Partridge United Kingdom	7	206	148	89	88	45	9	337
Hiroyuki Goda Japan	13	146 0.7×	206 1.4×	81 0.9×	61 0.7×	45 1.0×	30	381
P. J. Slootweg Netherlands	6	193 0.9×	192 1.3×	74 0.8×	64 0.7×	40 0.9×	7	324
Yuuji Nakahara Japan	12	278 1.3×	355 2.4×	94 1.1×	86 1.0×	61 1.4×	14	534
Yasuyuki Maruse Japan	9	206 1.0×	123 0.8×	85 1.0×	41 0.5×	60 1.3×	16	392
François Waridel Switzerland	7	212 1.0×	162 1.1×	68 0.8×	63 0.7×	33 0.7×	18	343
Gregory T. Wolf United States	7	167 0.8×	175 1.2×	73 0.8×	105 1.2×	65 1.4×	8	410
T Frebourg France	6	312 1.5×	268 1.8×	93 1.0×	40 0.5×	35 0.8×	8	455
Dorothy L. Uhlman United States	8	140 0.7×	177 1.2×	102 1.1×	56 0.6×	132 2.9×	10	338
Sanjib Dey India	9	143 0.7×	196 1.3×	112 1.3×	21 0.2×	30 0.7×	10	313
Yoshitaka Michifuri Japan	5	164 0.8×	173 1.2×	76 0.9×	27 0.3×	33 0.7×	6	349

Countries citing papers authored by Max Partridge

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Partridge

This figure shows the co-authorship network connecting the top 25 collaborators of Max Partridge. A scholar is included among the top collaborators of Max Partridge 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 Max Partridge. Max Partridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Costea, Daniela Elena, Allison Hills, Johanna Thurlow, et al.. (2013). Identification of Two Distinct Carcinoma-Associated Fibroblast Subtypes with Differential Tumor-Promoting Abilities in Oral Squamous Cell Carcinoma. Cancer Research. 73(13). 3888–3901. 133 indexed citations

Pézier, Thomas F. & Max Partridge. (2011). Squamous cell carcinoma of the oral cavity, oropharynx and upper oesophagus. Medicine. 39(3). 137–141. 1 indexed citations

Thurlow, Johanna, Keith D. Hunter, Francesca M. Buffa, et al.. (2010). Spectral Clustering of Microarray Data Elucidates the Roles of Microenvironment Remodeling and Immune Responses in Survival of Head and Neck Squamous Cell Carcinoma. Journal of Clinical Oncology. 28(17). 2881–2888. 61 indexed citations

Gaballah, Kamis, Allison Hills, David T. Curiel, et al.. (2007). Lysis of Dysplastic but not Normal Oral Keratinocytes and Tissue-Engineered Epithelia with Conditionally Replicating Adenoviruses. Cancer Research. 67(15). 7284–7294. 9 indexed citations

Huang, Xiaohong, S. Pateromichelakis, Allison Hills, et al.. (2007). p53 Mutations in Deep Tissues Are More Strongly Associated with Recurrence than Mutation-Positive Mucosal Margins. Clinical Cancer Research. 13(20). 6099–6106. 28 indexed citations

Pateromichelakis, S., et al.. (2005). Molecular analysis of paired tumours: Time to start treating the field. Oral Oncology. 41(9). 916–926. 12 indexed citations

Partridge, Max, Kamis Gaballah, & Xiaohong Huang. (2005). Molecular markers for diagnosis and prognosis. Cancer and Metastasis Reviews. 24(1). 71–85. 19 indexed citations

Partridge, Max, Ruud H. Brakenhoff, Elaine Phillips, et al.. (2003). Detection of rare disseminated tumor cells identifies head and neck cancer patients at risk of treatment failure.. PubMed. 9(14). 5287–94. 71 indexed citations

Phillips, Elaine, et al.. (2002). A preclinical model of minimal residual cancer in the muscle highlights challenges associated with adenovirus-mediated p53 gene transfer.. PubMed. 8(6). 1984–94. 3 indexed citations

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.

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