E. Jane Macaskill

788 citations
16 papers · 555 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Risks and Factors
    • Cancer Treatment and Pharmacology
    • Global Cancer Incidence and Screening

Papers in

E. Jane Macaskill

15 papers receiving 531 citations

Peers

E. Jane Macaskill
Comparison fields: 5 of 61
  • Cancer Research 206
  • Oncology 252
  • Genetics 178
  • Pulmonary and Respiratory Medicine 98
  • Pathology and Forensic Medicine 35
Replace Juliette Murray with:
Juliette Murray United Kingdom
Oliver Young United Kingdom
C. Brady United States
Shunji Kamigaki Japan
Christina L. Gersch United States
Judy Redford United Kingdom
Donald I. Twito United States
Jamie N. Holloway United States
Sam Rotstein Sweden
SE Come United States
E. Jane Macaskill relative to Juliette Murray United Kingdom Juliette Murray's profile →
Citations per field
00.5×1.7×
Juliette Murray · 1×
Citations per year

Countries citing papers authored by E. Jane Macaskill

Since Specialization
Citations

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

Fields of papers citing papers by E. Jane Macaskill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Jane Macaskill. 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 E. Jane Macaskill. The network helps show where E. Jane Macaskill may publish in the future.

Co-authors

The 25 scholars most cited alongside E. Jane Macaskill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Jane Macaskill Line = papers co-authored together E. Jane Macaskill links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2008136
2 200889
3 200759
4 200647
5 201043
6 201039
7 200630
8 201026
9 200925
10 201123
11 201018
12 20079
13 20056
14 20073
15 20122
16 20110

About E. Jane Macaskill

E. Jane Macaskill is a scholar working on Cancer Research, Genetics, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 555 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Estrogen and related hormone effects (8 papers), Advanced Breast Cancer Therapies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Breast Lesions and Carcinomas (2 papers), Cancer Mechanisms and Therapy (1 paper) and Delphi Technique in Research (1 paper). The work is most often cited by research in Cancer Research (206 citations), Oncology (252 citations), Genetics (178 citations), Pulmonary and Respiratory Medicine (98 citations) and Pathology and Forensic Medicine (35 citations). E. Jane Macaskill has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Lorna Renshaw, J. Michael Dixon, Oliver Young, Juliette Murray, David Cameron, J. Michael Dixon, Roger A’Hern, Vicky S. Sabine, Elizabeth J. Folkerd and John M.S. Bartlett. Their work appears in journals such as Breast Cancer Research and Treatment, The Journal of Steroid Biochemistry and Molecular Biology, European Journal of Cancer, The Oncologist and Journal of Clinical Oncology.

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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