Daniel Saenz

469 citations
38 papers · 321 indexed · h-index 13

Daniel Saenz

36 papers receiving 317 citations

Peers

Daniel Saenz
Comparison fields: 5 of 50
  • Radiation 267
  • Radiology, Nuclear Medicine and Imaging 180
  • Pulmonary and Respiratory Medicine 176
  • Otorhinolaryngology 11
  • Genetics 24
Replace Craig M. Lancaster with:
Craig M. Lancaster Australia
G. Smyth United Kingdom
Gwe-Ya Kim United States
Karl Rasmussen United States
Bernhard Kroupa Austria
Kelly Kisling United States
John Neylon United States
Yoshiki Takayama Japan
Yuji Nakaguchi Japan
A. Tilikidis Sweden
Daniel Saenz relative to Craig M. Lancaster Australia Craig M. Lancaster's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Saenz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Saenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20232
3 202218
4 202221
5 20211
6 20213
7 20201
8 201923
9 20198
10 201924
11 201816
12 20181
13 201814
14 20162
15 201640
16 20165
17 20167
18 201623
19 20143
20 201425

About Daniel Saenz

Daniel Saenz is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics and Biomedical Engineering, having authored 38 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (33 papers), Medical Imaging Techniques and Applications (19 papers), Radiation Therapy and Dosimetry (15 papers), Advanced X-ray and CT Imaging (7 papers), Radiation Dose and Imaging (4 papers), Glioma Diagnosis and Treatment (3 papers), Advanced MRI Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (267 citations), Radiology, Nuclear Medicine and Imaging (180 citations), Pulmonary and Respiratory Medicine (176 citations), Otorhinolaryngology (11 citations) and Genetics (24 citations). Daniel Saenz has collaborated with scholars based in United States and Greece. Frequent co-authors include S Stathakis, Niko Papanikolaou, G. Narayanasamy, Karl Rasmussen, Neil Kirby, E. Pappas, N Papanikolaou, Pamela Myers, Chul S. Ha and Panayiotis Mavroidis. Their work appears in journals such as Journal of Applied Clinical Medical Physics, Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physica Medica and Physics in 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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