Daniel A. Pryma

8.3k citations
139 papers · 3.7k indexed · h-index 34

Impact in

Papers in

Daniel A. Pryma

133 papers receiving 3.6k citations

Peers

Daniel A. Pryma
Comparison fields: 5 of 127
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Oncology 1.1k
  • Cancer Research 523
  • Neurology 421
  • Pulmonary and Respiratory Medicine 902
Replace Yuji Kuge with:
Yuji Kuge Japan
Antonin Lévy France
Flavio Forrer Switzerland
Jiayi Huang United States
Anne Roivainen Finland
Eva Forssell‐Aronsson Sweden
Barbara J. Fueger Austria
Steve Braunstein United States
Michael C. Kreißl Germany
Marcus Henze Germany
Daniel A. Pryma relative to Yuji Kuge Japan Yuji Kuge's profile →
Citations per field
00.5×1.5×2.1×
Yuji Kuge · 1×
Citations per year

Countries citing papers authored by Daniel A. Pryma

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Pryma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20240
4 20239
5 20233
6 202218
7 20222
8 202124
9 202118
10 20218
11 20201
12 201939
13 201680
14 201538
15 201538
16 201530
17 201421
18 20132
19 201259
20 20010

About Daniel A. Pryma

Daniel A. Pryma is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Neurology, Oncology and Pulmonary and Respiratory Medicine, having authored 139 papers that have together received 3.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (29 papers), Radiopharmaceutical Chemistry and Applications (27 papers), Neuroblastoma Research and Treatments (25 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Neuroendocrine Tumor Research Advances (17 papers), Cancer, Hypoxia, and Metabolism (15 papers), Adrenal and Paraganglionic Tumors (14 papers) and PARP inhibition in cancer therapy (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Oncology (1.1k citations), Cancer Research (523 citations), Neurology (421 citations) and Pulmonary and Respiratory Medicine (902 citations). Daniel A. Pryma has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include David A. Mankoff, Michael D. Farwell, Chaitanya Divgi, Steven M. Larson, Amy S. Clark, Mithat Gönen, Mehran Makvandi, Robert H. Mach, Austin R. Pantel and Catherine Hou. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Cancer Research and Nuclear Medicine and Biology.

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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