Joanne Dixon

2.7k total citations
3 papers, 48 citations indexed

About

Joanne Dixon is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Joanne Dixon has authored 3 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Joanne Dixon's work include HER2/EGFR in Cancer Research (2 papers), Gene expression and cancer classification (2 papers) and Advanced Breast Cancer Therapies (1 paper). Joanne Dixon is often cited by papers focused on HER2/EGFR in Cancer Research (2 papers), Gene expression and cancer classification (2 papers) and Advanced Breast Cancer Therapies (1 paper). Joanne Dixon collaborates with scholars based in United Kingdom and United States. Joanne Dixon's co-authors include Alan Zwart, William H. Miller, Yuelin J. Zhu, Antai Wang, Ann Gallagher, Yue Wang, Minetta C. Liu, Robert Clarke, W.R. Miller and Lorna Renshaw and has published in prestigious journals such as European Journal of Cancer, International Journal of Oncology and European Journal of Cancer Supplements.

In The Last Decade

Joanne Dixon

3 papers receiving 48 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne Dixon United Kingdom 2 29 17 13 11 3 3 48
Conrad Leonard Australia 5 24 0.8× 14 0.8× 14 1.1× 8 0.7× 8 42
Kimberly Ingalls United States 5 43 1.5× 11 0.6× 19 1.5× 15 1.4× 1 0.3× 7 81
Qianhao Lu Germany 2 50 1.7× 14 0.8× 5 0.4× 8 0.7× 2 0.7× 2 63
Christian Netzer Germany 3 29 1.0× 31 1.8× 10 0.8× 5 0.5× 3 1.0× 7 60
Rongqin Zhang China 5 43 1.5× 20 1.2× 6 0.5× 16 1.5× 2 0.7× 8 87
Rob Scharpf United States 2 29 1.0× 11 0.6× 29 2.2× 8 0.7× 1 0.3× 2 53
Paul Hale United States 2 35 1.2× 19 1.1× 6 0.5× 6 0.5× 2 55
Adolfo Ortiz Barboza Costa Rica 3 15 0.5× 22 1.3× 6 0.5× 8 0.7× 6 32
Helen Cramp United Kingdom 3 28 1.0× 12 0.7× 17 1.3× 13 1.2× 3 41
Evgeny N. Imyanitov Russia 3 42 1.4× 25 1.5× 21 1.6× 5 0.5× 1 0.3× 4 60

Countries citing papers authored by Joanne Dixon

Since Specialization
Citations

This map shows the geographic impact of Joanne Dixon'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 Joanne Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne Dixon more than expected).

Fields of papers citing papers by Joanne Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne Dixon. 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 Joanne Dixon. The network helps show where Joanne Dixon may publish in the future.

Co-authorship network of co-authors of Joanne Dixon

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

All Works

3 of 3 papers shown
1.
Larionov, Alexey A., et al.. (2014). 7LBA A 4 gene model can identify ER+HER2+ breast cancers unlikely to respond to neoadjuvant endocrine therapy. European Journal of Cancer. 50. S3–S3. 1 indexed citations
2.
Miller, W.R., Lorna Renshaw, Alexey A. Larionov, et al.. (2006). Using changes in gene expression as assessed by microarray analysis of sequential tumour biopsies to predict response to neoadjuvant therapy with letrozole. European Journal of Cancer Supplements. 4(2). 129–130. 1 indexed citations
3.
Zhu, Yuelin J., Antai Wang, Minetta C. Liu, et al.. (2006). Estrogen receptor alpha positive breast tumors and breast cancer cell lines share similarities in their transcriptome data structures. International Journal of Oncology. 29(6). 1581–9. 46 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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