Daniel T. Boll

8.1k citations
169 papers · 5.4k · 2 hit papers · h-index 37

Impact in

    • Radiation Dose and Imaging
    • Medical Imaging Techniques and Applications
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Cardiac Imaging and Diagnostics

Papers in

Daniel T. Boll

163 papers receiving 5.4k citations

Daniel T. Boll's Hit Papers

TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI 2025 · 35 citations
350+1+2Years since publication100200300400500

Peers

Daniel T. Boll
Comparison fields: 5 of 116
  • Radiology, Nuclear Medicine and Imaging 2.4k
  • Health Informatics 75
  • Hepatology 382
  • Biomedical Engineering 2.0k
  • Pulmonary and Respiratory Medicine 718
Replace Kazuo Awai with:
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Daniel T. Boll relative to Kazuo Awai Japan Kazuo Awai's profile →
Citations per field
00.5×1.5×
Kazuo Awai · 1×
Citations per year

Countries citing papers authored by Daniel T. Boll

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Boll'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 T. Boll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Boll more than expected).

Fields of papers citing papers by Daniel T. Boll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
Hit paper breakdown →
2023557
2 2014297
3 2010286
4 2009190
5 2009171
6 2008163
7 2011149
8 2010138
9 2012124
10 2012112
11 201898
12 201295
13 201292
14 201089
15 201288
16 201688
17 200988
18 200383
19 202182
20 201181

About Daniel T. Boll

Daniel T. Boll is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Surgery and Hepatology, having authored 169 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (34 papers), MRI in cancer diagnosis (15 papers), Advanced MRI Techniques and Applications (15 papers), Radiation Dose and Imaging (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Cardiac Imaging and Diagnostics (10 papers), Medical Imaging Techniques and Applications (10 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Health Informatics (75 citations), Hepatology (382 citations), Biomedical Engineering (2.0k citations) and Pulmonary and Respiratory Medicine (718 citations). Daniel T. Boll has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Elmar M. Merkle, Rendon C. Nelson, Daniele Marin, Tobias Heye, Erik K. Paulson, Rajan T. Gupta, Lisa M. Ho, Brian M. Dale, Sebastian Feuerlein and Achille Mileto. Their work appears in journals such as American Journal of Roentgenology, Radiology, European Radiology, Journal of Computer Assisted Tomography and European Journal of Radiology.

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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