Amanda McCann

4.8k citations
83 papers · 3.7k indexed · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • HER2/EGFR in Cancer Research

Papers in

    • MicroRNA in disease regulation 10
    • HER2/EGFR in Cancer Research 8
    • Cancer Cells and Metastasis 6

Amanda McCann

81 papers receiving 3.6k citations

Peers

Amanda McCann
Comparison fields: 5 of 144
  • Cancer Research 1.0k
  • Oncology 1.2k
  • Molecular Biology 2.3k
  • Cell Biology 367
  • Genetics 502
Replace Martin K. Oehler with:
Martin K. Oehler Australia
Michael P.A. Davies United Kingdom
Vanessa Almendro Spain
Francesca Pentimalli Italy
Stewart G. Martin United Kingdom
Victoria L. Seewaldt United States
Giulia Piaggio Italy
Guoying Wang China
Robert Morris United States
Marco G. Paggi Italy
Amanda McCann relative to Martin K. Oehler Australia Martin K. Oehler's profile →
Citations per field
00.5×1.6×
Martin K. Oehler · 1×
Citations per year

Countries citing papers authored by Amanda McCann

Since Specialization
Citations

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

Fields of papers citing papers by Amanda McCann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amanda McCann, 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 Amanda McCann Line = papers co-authored together Amanda McCann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20241
3 20233
4 20222
5 20224
6 202121
7 202119
8 20213
9 202014
10 202029
11 202019
12 20172
13 201343
14 2010132
15 200984
16 200946
17 200832
18 200714
19
Prognostic significance of c-erbB-2 and estrogen receptor status in human breast cancer.
1991152
20 198913

About Amanda McCann

Amanda McCann is a scholar working on Cancer Research, Oncology, Molecular Biology, Cell Biology and Genetics, having authored 83 papers that have together received 3.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (10 papers), HER2/EGFR in Cancer Research (8 papers), Estrogen and related hormone effects (7 papers), Microtubule and mitosis dynamics (6 papers), Cancer Cells and Metastasis (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (1.2k citations), Molecular Biology (2.3k citations), Cell Biology (367 citations) and Genetics (502 citations). Amanda McCann has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Desmond N. Carney, P. Dervan, Jenny Watson, John A. Baugh, Chris Watson, Fiona Furlong, Matthew Ho, Luke Gubbins, Karolina Weiner‐Gorzel and Malcolm Kell. Their work appears in journals such as Cancers, Translational Oncology, Human Molecular Genetics, Human Pathology and British Journal of Cancer.

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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