Daniel Patterson

890 citations
17 papers · 644 · h-index 10

Impact in

    • Ovarian cancer diagnosis and treatment
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Medical Imaging Techniques and Applications

Papers in

Daniel Patterson

16 papers receiving 628 citations

Peers

Daniel Patterson
Comparison fields: 5 of 71
  • Reproductive Medicine 120
  • Radiology, Nuclear Medicine and Imaging 271
  • Neurology 64
  • Cancer Research 57
  • Obstetrics and Gynecology 27
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Oldham Rk United States
Roman Makarewicz Poland
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Isabella Sassi Italy
Hebist Berhane United States
W. ten Bokkel Huinink Netherlands
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Marina Cardillo United States
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Jane‐Chloé Trone France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008289
2 2007119
3 200772
4 200441
5 200625
6 200724
7 200918
8 200814
9 198813
10 200710
11 20087
12 19735
13 20104
14 20131
15 20111
16 20051
17 20180

About Daniel Patterson

Daniel Patterson is a scholar working on Surgery, Reproductive Medicine, Neurology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 644 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Testicular diseases and treatments (3 papers), Lanthanide and Transition Metal Complexes (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Lung Cancer Treatments and Mutations (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Reproductive Medicine (120 citations), Radiology, Nuclear Medicine and Imaging (271 citations), Neurology (64 citations), Cancer Research (57 citations) and Obstetrics and Gynecology (27 citations). Daniel Patterson has collaborated with scholars based in United Kingdom, Ireland and Russia. Frequent co-authors include Anwar R. Padhani, David J. Collins, Gordon Rustin, Nirupa Murugaesu, Michael J. Seckl, L. Holden, Siow Ming Lee, Asif Saifuddin, Jan Lehovsky and Amit P. Amin. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Gynecological Cancer, Spine, Expert Opinion on Biological Therapy and Lung 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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