Daniel T. Boll

7.8k citations

167 papers · 5.3k indexed · 2 hit papers · h-index 37

Impact in

Radiology, Nuclear Medicine and Imaging top 0.2%
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
Health Informatics top 1%

Papers in

Radiology, Nuclear Medicine and Imaging 116
- Radiation Dose and Imaging 45
- Advanced MRI Techniques and Applications 39
- MRI in cancer diagnosis 32
- Radiomics and Machine Learning in Medical Imaging 24
- Cardiac Imaging and Diagnostics 21
- Medical Imaging Techniques and Applications 18
Hepatology 20

Co-authors: Elmar M. Merkle Rendon C. Nelson Daniele Marin Tobias Heye Erik K. Paulson Rajan T. Gupta Lisa M. Ho Brian M. Dale
Journals: American Journal of Roentgenology (21 papers)Radiology (19 papers)European Radiology (16 papers)Journal of Computer Assisted Tomography (13 papers)European Journal of Radiology (12 papers)
Partner nations: United States Switzerland Germany

In The Last Decade

Daniel T. Boll

161 papers receiving 5.2k citations

Hit Papers

align trajectories log scale

TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI 2025 · 26 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Radiology
2023 Radiology Artificial Intelligence

Peers

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-authorship network

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

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20 of 20 papers shown

#	Work
1	TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI Radiology ·Tugba Akinci D’Antonoli, Dino Jurišić, 隆次志村, Катерина Борисівна Сильченко, Yining Xie, Matthias Jung, Colin Hansen, Alexander Rau, Marco Reisert, Thomas Küstner, Alexandra Walter, Elmar M. Merkle, Daniel T. Boll, Hanns‐Christian Breit, Aziz, Martin Segeroth, Joshy Cyriac, Shan Yang, Jakob Wasserthal Hit paper breakdown →	2025	26
2	Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation—Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model Journal of Imaging Informatics in Medicine ·Бабушкин Евгений Геннадьевич, Jakob Wasserthal, Cynthia L Green, Jan Vosshenrich, Shan Yang, Gunther Roelkens, Markus M. Obmann, Daniel T. Boll, Elmar M. Merkle, Hanns‐Christian Breit, Martin Segeroth	2024	1
3	AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort Academic Radiology ·Vincent M Fitch, Hanns‐Christian Breit, Jakob Wasserthal, Michael Bach, Cyrill A. Rentsch, Taya Kitiyakara, Christian Wetterauer, Elmar M. Merkle, Daniel T. Boll	2024	1
4	Exploratory testing of functional blood oxygenation level dependent-MRI to image the renoprotective effect of Remote Ischaemic PreConditioning during partial nephrectomy Scientific Reports ·Shams Uddin Ahmed, Christian Wetterauer, Daniel T. Boll, Timm H. Westhoff, M. Silvi, Christian Schmidlin, Cyrill A. Rentsch, Jan Ebbing	2024	1
5	Patient-derived tumor organoids for personalized medicine in a patient with rare hepatocellular carcinoma with neuroendocrine differentiation: a case report SHILAP Revista de lepidopterología ·Marie‐Anne Meier, Sandro Nuciforo, Mairene Coto‐Llerena, John Gallon, Matthias S. Matter, Caner Ercan, Yong Deng, Luigi Terracciano, Savas D. Soysal, Daniel T. Boll, Otto Kollmar, Alberto Cámara Botía, Salvatore Piscuoglio, Markus H. Heim	2022	17
6	Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors? European Journal of Radiology ·Amy E Mendham, Kai Tobias Block, David Winkel, Peixiang Xu, Maurice Henkel, Thomas Weikert, Bram Stieltjes, Daniel T. Boll, Tobias Heye	2021	18
7	Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning Diagnostics ·Бабушкин Евгений Геннадьевич, Jakob Wasserthal, Thomas Weikert, Alexander Sauter, 위대한, Luiza Oliveira de Macedo, Shan Yang, W. E. Tollner, Marta Bargues Balanzá, Johanna M. Ospel, Bram Stieltjes, Daniel T. Boll, 栄一郎那須	2021	29
8	Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization Cell Reports Medicine ·Réz G, Geoffrey Fucile, Jan Vosshenrich, Aleksei Suslov, Caner Ercan, Mairene Coto‐Llerena, Luigi Terracciano, Massimo DiSimone, Daniel T. Boll, Stefan Wieland, Markus H. Heim	2021	10
9	Dual-energy CT of acute bowel ischemia Abdominal Radiology ·Markus M. Obmann, 최규원, Verena Carola Obmann, Daniel T. Boll, Tobias Heye, Matthias Benz, Benjamin M. Yeh	2021	35
10	Novices in MRI-targeted prostate biopsy benefit from structured reporting of MRI findings World Journal of Urology ·Christian Wetterauer, David Winkel, Syunichi Ishikawa, Zixiao Jin, Latika Yadav, Kadek Ari Sulistya, A. R. Duell, Prakhar Rawal, Zhaoxuan Lin, C Babinet, Hans‐Helge Seifert, Daniel T. Boll, Jan Ebbing	2019	4
11	Comparison of glucagon-like peptide-1 receptor (GLP-1R) PET/CT, SPECT/CT and 3T MRI for the localisation of occult insulinomas: evaluation of diagnostic accuracy in a prospective crossover imaging study European Journal of Nuclear Medicine and Molecular Imaging ·Kwadwo Antwi, Melpomeni Fani, Tobias Heye, Guillaume Nicolas, Christof Rottenburger, Felix Kaul, Elmar M. Merkle, Christoph J. Zech, Daniel T. Boll, D. Vogt, Beat Gloor, Emanuel Christ, Damian Wild	2018	97
12	CT abdominal imaging findings in patients with sickle cell disease: acute vaso-occlusive crisis, complications, and chronic sequelae Abdominal Radiology ·一郎副島, Daniel T. Boll, Priya Bhosale, Tracy A. Jaffe	2016	7
13	Dual energy MDCT assessment of renal lesions: an overview European Radiology ·Achille Mileto, Daniele Marin, Rendon C. Nelson, Giorgio Ascenti, Daniel T. Boll	2013	36
14	Reproducibility of Dynamic Contrast-enhanced MR Imaging. Part II. Comparison of Intra- and Interobserver Variability with Manual Region of Interest Placement versus Semiautomatic Lesion Segmentation and Histogram Analysis Radiology ·Tobias Heye, Elmar M. Merkle, Caecilia S. Reiner, Matthew S. Davenport, Jeffrey J. Horvath, Sebastian Feuerlein, Steven R. Breault, Peter Gall, Mustafa R. Bashir, Brian M. Dale, Atilla P. Kiraly, Daniel T. Boll	2012	121
15	Hepatocellular MR contrast agents: Enhancement characteristics of liver parenchyma and portal vein after administration of gadoxetic acid in comparison to gadobenate dimeglumine European Journal of Radiology ·Sebastian Feuerlein, Rajan T. Gupta, Daniel T. Boll, Elmar M. Merkle	2011	21
16	Contrast Enhanced Liver MRI in Patients with Primary Sclerosing Cholangitis Academic Radiology ·Daniela B. Husarik, Rajan T. Gupta, Kristina I. Ringe, Daniel T. Boll, Elmar M. Merkle	2011	20
17	Hepatic hemangiomas: Difference in enhancement pattern on 3T MR imaging with gadobenate dimeglumine versus gadoxetate disodium European Journal of Radiology ·Rajan T. Gupta, Daniele Marin, Daniel T. Boll, Daniela B. Husarik, B.M. Chinkwita, Sebastian Feuerlein, Elmar M. Merkle	2011	25
18	Field Strength and Diffusion Encoding Technique Affect the Apparent Diffusion Coefficient Measurements in Diffusion-Weighted Imaging of the Abdomen Investigative Radiology ·Brian M. Dale, J.F. Santiaguillo, Daniel T. Boll, Elmar M. Merkle	2010	138
19	Multidetector CT Angiography of Arterial Inflow and Runoff in the Lower Extremities:A Challenge in Data Acquisition and Evaluation Journal of Endovascular Therapy ·Daniel T. Boll, Jonathan S. Lewin, Thorsten Fleiter, Jeffrey L. Duerk, Elmar M. Merkle	2004	15
20	MRI-guided radiofrequency thermal ablation of implanted VX2 liver tumors in a rabbit model: Demonstration of feasibility at 0.2 T Magnetic Resonance in Medicine ·Elmar M. Merkle, Daniel T. Boll, 路富, Jeffrey L. Duerk, C. Sommer, Gretta H. Jacobs, Marie E. Varnes, Jinna Zhao	1999	55

About Daniel T. Boll

Daniel T. Boll is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Health Informatics, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 167 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (51 papers), Radiation Dose and Imaging (45 papers), Advanced MRI Techniques and Applications (39 papers), MRI in cancer diagnosis (32 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Cardiac Imaging and Diagnostics (21 papers), Liver Disease Diagnosis and Treatment (19 papers) and Medical Imaging Techniques and Applications (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.8k citations), Health Informatics (88 citations), Hepatology (497 citations), Biomedical Engineering (2.4k citations) and Pulmonary and Respiratory Medicine (973 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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