Frances Daley

4.6k citations
52 papers · 2.3k indexed · h-index 27
Topics
Cancer, Hypoxia, and Metabolism (8 papers)Cancer Cells and Metastasis (7 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)

In The Last Decade

Frances Daley

51 papers receiving 2.3k citations

Peers

Frances Daley
Comparison fields: 5 of 107
  • Cancer Research 934
  • Molecular Biology 886
  • Oncology 759
  • Pulmonary and Respiratory Medicine 539
  • Radiology, Nuclear Medicine and Imaging 528
Replace Nicholas H. A. Terry with:
Nicholas H. A. Terry United States
Ruth Heimann United States
Paul Frankel United States
Shyhmin Huang United States
Sean P. Pitroda United States
N. Chavaudra France
Kristian Unger Germany
Reinhard von Roemeling United States
Timothy D. Shafman United States
Wing‐Kai Chan Taiwan
Frances Daley relative to Nicholas H. A. Terry United States Nicholas H. A. Terry's profile →
Citations per field
00.5×5.5×
Nicholas H. A. Terry · 1×
Citations per year

Countries citing papers authored by Frances Daley

Since Specialization
Citations

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

Fields of papers citing papers by Frances Daley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances Daley

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 54
4 15
5 24
6 32
7 37
8 61
9 22
10 145
11 225
12 12
13 13
14 43
15 8
16 12
17 9
18 20
19 34
20 43

About Frances Daley

Frances Daley is a scholar working on Cancer Research, Otorhinolaryngology and Oncology, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Cancer Cells and Metastasis (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Cancer Research (934 citations), Otorhinolaryngology (174 citations) and Oncology (759 citations). Frances Daley has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include George D. Wilson, Michele I. Saunders, Søren M. Bentzen, Peter Hoskin, Stanley Dische, Paul Richman, Amen Sibtain, P I Richman, Adrian L. Harris and Dawn Carnell. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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