Danielle Power

1.0k total citations
11 papers, 168 citations indexed

About

Danielle Power is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle Power has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle Power's work include Lung Cancer Treatments and Mutations (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Danielle Power is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Danielle Power collaborates with scholars based in United Kingdom, Italy and Singapore. Danielle Power's co-authors include Eric O. Aboagye, Haonan Lu, David J. Pinato, Mitchell Chen, Andrew Logan, Yidong Han, Susan J. Copley, Alessio Cortellini, Patrizia Viola and Andrew Thornton and has published in prestigious journals such as Journal of Clinical Oncology, Molecular Cancer Therapeutics and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Danielle Power

8 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Power United Kingdom 6 115 97 50 26 26 11 168
Zhen‐Bin Qiu China 9 88 0.8× 114 1.2× 71 1.4× 10 0.4× 19 0.7× 25 206
E.I. Eboulet Switzerland 9 59 0.5× 125 1.3× 76 1.5× 14 0.5× 21 0.8× 15 171
Iva Halilaj Netherlands 5 215 1.9× 86 0.9× 50 1.0× 63 2.4× 69 2.7× 12 267
Aasheesh Kanwar United States 4 148 1.3× 53 0.5× 36 0.7× 30 1.2× 25 1.0× 7 190
Isabella Fornacon-Wood United Kingdom 4 216 1.9× 107 1.1× 43 0.9× 42 1.6× 76 2.9× 9 241
Changfeng Ji China 9 229 2.0× 216 2.2× 74 1.5× 18 0.7× 24 0.9× 18 306
Vikram Velker Canada 11 70 0.6× 70 0.7× 19 0.4× 10 0.4× 28 1.1× 41 252
Barbara Zangheri Italy 4 156 1.4× 51 0.5× 36 0.7× 10 0.4× 17 0.7× 7 285
Soomin Ahn South Korea 6 129 1.1× 219 2.3× 81 1.6× 8 0.3× 17 0.7× 13 319

Countries citing papers authored by Danielle Power

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Power

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

All Works

11 of 11 papers shown
1.
Power, Danielle, et al.. (2024). 214 Rowell Syndrome as a Paraneoplastic Manifestation of Metastatic Mesothelioma. Lung Cancer. 190. 107775–107775.
2.
3.
Chen, Mitchell, Haonan Lu, Susan J. Copley, et al.. (2023). A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC. Journal of Thoracic Oncology. 18(6). 718–730. 40 indexed citations
4.
Hindocha, Sumeet, Benjamin Hunter, Merina Ahmed, et al.. (2022). Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC. npj Precision Oncology. 6(1). 77–77. 9 indexed citations
5.
6.
Evans, Joanne, et al.. (2022). Use of sotorasib in KRAS p.G12C mutated NSCLC: a case report. Lung Cancer. 165. S77–S77.
7.
Wolf, Juergen, Tobias R. Overbeck, Ji‐Youn Han, et al.. (2020). Capmatinib in patients with high-level MET-amplified advanced non–small cell lung cancer (NSCLC): results from the phase 2 GEOMETRY mono-1 study.. Journal of Clinical Oncology. 38(15_suppl). 9509–9509. 11 indexed citations
8.
Pinato, David J., Sarah Howlett, Diego Ottaviani, et al.. (2019). Antibiotic treatment prior to immune checkpoint inhibitor therapy as a tumor-agnostic predictive correlate of response in routine clinical practice.. Journal of Clinical Oncology. 37(8_suppl). 147–147. 12 indexed citations
9.
Pinato, David J., Thomas Newsom-Davis, Danielle Power, et al.. (2019). Applicability of Routine Targeted Next-generation Sequencing to Estimate Tumor Mutational Burden (TMB) in Patients Treated With Immune Checkpoint Inhibitor Therapy. Journal of Immunotherapy. 43(2). 53–56. 2 indexed citations
10.
Arshad, Mubarik, Andrew Thornton, Haonan Lu, et al.. (2018). Discovery of pre-therapy 2-deoxy-2-18F-fluoro-D-glucose positron emission tomography-based radiomics classifiers of survival outcome in non-small-cell lung cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 46(2). 455–466. 53 indexed citations
11.
West, Robert & Danielle Power. (1995). Alcoholics' beliefs about responsibility for, and recovery from, their condition. Drug and Alcohol Review. 14(1). 55–62. 5 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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2026