Jill Davison

533 total citations
9 papers, 241 citations indexed

About

Jill Davison is a scholar working on Oncology, Dermatology and Pathology and Forensic Medicine. According to data from OpenAlex, Jill Davison has authored 9 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Dermatology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jill Davison's work include T-cell and Retrovirus Studies (2 papers), Neutropenia and Cancer Infections (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Jill Davison is often cited by papers focused on T-cell and Retrovirus Studies (2 papers), Neutropenia and Cancer Infections (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Jill Davison collaborates with scholars based in Australia and United States. Jill Davison's co-authors include H. Miles Prince, Christopher McCormack, John F. Seymour, Gerard E. Ryan, Glen Kennedy, M Wolf, Henry Januszewicz, Vivian Grill, Richard Murray and P.W.M. Ho and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Annals of Oncology.

In The Last Decade

Jill Davison

9 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jill Davison Australia 7 116 107 96 62 52 9 241
John E. McWhorter United States 2 76 0.7× 34 0.3× 119 1.2× 18 0.3× 79 1.5× 2 209
Anna Baraldi Italy 9 27 0.2× 27 0.3× 87 0.9× 24 0.4× 10 0.2× 27 256
Kevin Tay Singapore 11 187 1.6× 33 0.3× 164 1.7× 101 1.6× 39 0.8× 22 321
M. Maynadié France 6 131 1.1× 44 0.4× 60 0.6× 37 0.6× 15 0.3× 6 236
Fabrice Jardin France 9 110 0.9× 7 0.1× 81 0.8× 36 0.6× 59 1.1× 22 277
Erika Pigatto Italy 9 148 1.3× 53 0.5× 12 0.1× 74 1.2× 42 0.8× 14 214
E. Lévy France 8 32 0.3× 13 0.1× 124 1.3× 47 0.8× 71 1.4× 32 279
Jean‐Pierre Vilque France 10 72 0.6× 8 0.1× 126 1.3× 26 0.4× 28 0.5× 18 254
Sara Alcántara Luna Spain 4 41 0.4× 50 0.5× 320 3.3× 80 1.3× 64 1.2× 8 388
Jean-François Larouche Canada 8 163 1.4× 24 0.2× 118 1.2× 32 0.5× 17 0.3× 22 273

Countries citing papers authored by Jill Davison

Since Specialization
Citations

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

Fields of papers citing papers by Jill Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jill Davison

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

All Works

9 of 9 papers shown
1.
Long, Georgina V., Victoria Atkinson, Alexander M. Menzies, et al.. (2016). A randomized phase 2 study of nivolumab and nivolumab combined with ipilimumab in patients (pts) with melanoma brain metastases: The Anti-PD1 Brain Collaboration (ABC Study).. Journal of Clinical Oncology. 34(15_suppl). TPS9591–TPS9591. 9 indexed citations
2.
McCullough, Marjorie L., Roberd M. Bostick, Carrie R. Daniel, et al.. (2009). Vitamin D Status and Impact of Vitamin D3and/or Calcium Supplementation in a Randomized Pilot Study in the Southeastern United States. Journal of the American College of Nutrition. 28(6). 678–686. 22 indexed citations
3.
Kennedy, Glen, John F. Seymour, M Wolf, et al.. (2003). Treatment of patients with advanced mycosis fungoides and Sézary syndrome with alemtuzumab. European Journal Of Haematology. 71(4). 250–256. 103 indexed citations
4.
Prince, H. Miles, Danny Rischin, Michael Quinn, et al.. (2001). Repetitive High-Dose Topotecan, Carboplatin, and Paclitaxel with Peripheral Blood Progenitor Cell Support in Previously Untreated Ovarian Cancer: Results of a Phase I Study. Gynecologic Oncology. 81(2). 216–224. 6 indexed citations
6.
Murray, Richard, et al.. (2001). Hypocalcemic and Normocalcemic Hyperparathyroidism in Patients with Advanced Prostatic Cancer. The Journal of Clinical Endocrinology & Metabolism. 86(9). 4133–4138. 48 indexed citations
7.
Rischin, Danny, Michael Boyer, Judith Smith, et al.. (2000). A phase I trial of docetaxel and gemcitabine in patients with advanced cancer. Annals of Oncology. 11(4). 421–426. 26 indexed citations
8.
Rischin, Danny, Martin Prince, Mary Flanagan Quinn, et al.. (1999). Phase I study of repetitive high-dose topotecan (T) carboplatin (C) and paclitaxel (P) in previously untreated ovarian cancer. European Journal of Cancer. 35. S238–S238. 1 indexed citations
9.
Shapiro, Jeremy, Michael Millward, Danny Rischin, et al.. (1997). Activity and toxicity of docetaxel (Taxotere®) in women with previously treated metastatic breast cancer. Australian and New Zealand Journal of Medicine. 27(1). 40–44. 4 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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