Daniela E. Oprea‐Lager

9.5k citations
115 papers · 2.0k indexed · 1 hit paper · h-index 24

Daniela E. Oprea‐Lager

108 papers receiving 2.0k citations

Hit Papers

E-PSMA: the EANM standardized reporting guidelines v1.0 f...214202120262022202450100150200

Peers

Daniela E. Oprea‐Lager
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pulmonary and Respiratory Medicine 1.5k
  • Oncology 439
  • Cancer Research 233
  • Rheumatology 198
Replace Roslyn J. Francis with:
Roslyn J. Francis Australia
Henry Mandeville United Kingdom
Andrei Gafita United States
Bao Ho Australia
Francesco Ceci Italy
Isabel Rauscher Germany
Ian Vela Australia
Hans‐Juergen Wester Germany
Christina Bluemel Germany
Filippo Lodi Italy
Daniela E. Oprea‐Lager relative to Roslyn J. Francis Australia Roslyn J. Francis's profile →
Citations per field
00.5×1.5×1.8×
Roslyn J. Francis · 1×
Citations per year

Countries citing papers authored by Daniela E. Oprea‐Lager

Since Specialization
Citations

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

Fields of papers citing papers by Daniela E. Oprea‐Lager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela E. Oprea‐Lager. 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 Daniela E. Oprea‐Lager. The network helps show where Daniela E. Oprea‐Lager may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniela E. Oprea‐Lager, 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 Daniela E. Oprea‐Lager Line = papers co-authored together Daniela E. Oprea‐Lager links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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7 202216
8 202223
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13 20201
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15 202046
16 20204
17 20209
18 202078
19 201946
20 201816

About Daniela E. Oprea‐Lager

Daniela E. Oprea‐Lager is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Rheumatology, Cancer Research and Oncology, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (79 papers), Prostate Cancer Diagnosis and Treatment (55 papers), Radiopharmaceutical Chemistry and Applications (43 papers), Medical Imaging Techniques and Applications (28 papers), Urologic and reproductive health conditions (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Cancer, Lipids, and Metabolism (9 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (1.5k citations), Oncology (439 citations), Cancer Research (233 citations) and Rheumatology (198 citations). Daniela E. Oprea‐Lager has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Otto S. Hoekstra, André N. Vis, Ronald Boellaard, R. Jeroen A. van Moorselaar, Ken Herrmann, B.H.E. Jansen, Alfons J.M. van den Eertwegh, Dennie Meijer, Matthijs C. F. Cysouw and N. Harry Hendrikse. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, European Urology Oncology, British Journal of Urology and Cancers.

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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