Hayley C. Whitaker

20.6k citations
61 papers · 1.4k indexed · h-index 22
Topics
Prostate Cancer Treatment and Research (33 papers)Prostate Cancer Diagnosis and Treatment (22 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)

In The Last Decade

Hayley C. Whitaker

59 papers receiving 1.4k citations

Peers

Hayley C. Whitaker
Comparison fields: 5 of 110
  • Molecular Biology 699
  • Pulmonary and Respiratory Medicine 510
  • Oncology 237
  • Pathology and Forensic Medicine 209
  • Cancer Research 184
Replace Ann M. McNulty with:
Ann M. McNulty United States
Hidetoshi Kuruma Japan
Qianming Bai China
Paula Kaplan‐Lefko United States
Shusuke Akamatsu Japan
Katharine Ellwood‐Yen United States
Patrick J. Grohar United States
Rakesh Heer United Kingdom
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Hayley C. Whitaker relative to Ann M. McNulty United States Ann M. McNulty's profile →
Citations per field
00.5×3.8×
Ann M. McNulty · 1×
Citations per year

Countries citing papers authored by Hayley C. Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Hayley C. Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hayley C. Whitaker. 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 Hayley C. Whitaker. The network helps show where Hayley C. Whitaker may publish in the future.

Co-authorship network of co-authors of Hayley C. Whitaker

This figure shows the co-authorship network connecting the top 25 collaborators of Hayley C. Whitaker. A scholar is included among the top collaborators of Hayley C. Whitaker 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 Hayley C. Whitaker. Hayley C. Whitaker 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 3
2 1
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4 10
5 8
6 2
7 2
8 24
9 101
10 22
11 25
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13 30
14 11
15 85
16
The RS10993994 risk allele for prostate cancer results in clinically relevant changes in microseminoprotein-beta expression in tissue and urine
3
17 74
18 64
19 55
20 15

About Hayley C. Whitaker

Hayley C. Whitaker is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (33 papers), Prostate Cancer Diagnosis and Treatment (22 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (510 citations), Cancer Research (184 citations) and Pathology and Forensic Medicine (209 citations). Hayley C. Whitaker has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David E. Neal, Ian G. Mills, Anne Y. Warren, Mark L. Cutress, Murray Stewart, Benjamin S. Simpson, Susan Heavey, Alex Freeman, Hing Y. Leung and Vasilis Stavrinides. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

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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