Daniel C. Sullivan

9.7k total citations · 4 hit papers
123 papers, 6.0k citations indexed

About

Daniel C. Sullivan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel C. Sullivan has authored 123 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 18 papers in Biomedical Engineering. Recurrent topics in Daniel C. Sullivan's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Medical Imaging Techniques and Applications (23 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Daniel C. Sullivan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Medical Imaging Techniques and Applications (23 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Daniel C. Sullivan collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel C. Sullivan's co-authors include Mitchell D. Schnall, Susan G. Orel, Timothy R. Church, Andrew J. Buckler, Marina Kondratovich, Bruce J. Hillman, Christopher A. Reynolds, Barbara Galen, Craig A. Beam and Denise R. Aberle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Daniel C. Sullivan

118 papers receiving 5.7k citations

Hit Papers

The National Lung Screening Trial: Overview and Study Design 2005 2026 2012 2019 2010 2013 2005 2015 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel C. Sullivan United States 36 3.2k 1.9k 992 778 563 123 6.0k
Mark Rosen United States 46 3.9k 1.2× 1.9k 1.0× 1.3k 1.3× 1.2k 1.5× 604 1.1× 178 7.8k
Chaya S. Moskowitz United States 54 4.7k 1.5× 5.0k 2.7× 1.5k 1.5× 651 0.8× 509 0.9× 230 9.4k
Marcus R. Makowski Germany 38 3.1k 1.0× 1.4k 0.8× 445 0.4× 937 1.2× 1.2k 2.1× 362 6.7k
Marilyn A. Roubidoux United States 35 1.8k 0.5× 1.2k 0.7× 965 1.0× 372 0.5× 1.4k 2.6× 132 3.9k
Carl J. D’Orsi United States 40 2.8k 0.9× 2.6k 1.4× 2.1k 2.1× 780 1.0× 2.4k 4.3× 123 6.3k
Jeffrey D. Blume United States 33 1.7k 0.5× 916 0.5× 804 0.8× 241 0.3× 358 0.6× 100 4.4k
Denise R. Aberle United States 38 1.5k 0.5× 2.7k 1.5× 612 0.6× 216 0.3× 380 0.7× 123 4.3k
James H. Thrall United States 41 3.4k 1.0× 1.0k 0.6× 413 0.4× 1.1k 1.5× 293 0.5× 193 5.7k
Patrick Brennan Australia 31 2.5k 0.8× 1.4k 0.7× 1.1k 1.1× 1.0k 1.3× 1.2k 2.1× 352 4.4k
John O. Prior Switzerland 40 2.7k 0.8× 1.5k 0.8× 793 0.8× 459 0.6× 115 0.2× 303 5.6k

Countries citing papers authored by Daniel C. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Sullivan. A scholar is included among the top collaborators of Daniel C. Sullivan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel C. Sullivan. Daniel C. Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Binsheng, Nancy A. Obuchowski, Hao Yang, et al.. (2025). Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories. PubMed. 2(1). umaf001–umaf001.
2.
Blocker, Stephanie J., Matt Holbrook, Yvonne M. Mowery, Daniel C. Sullivan, & Cristian T. Badea. (2020). The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging. PLoS ONE. 15(2). e0225019–e0225019. 10 indexed citations
3.
Sullivan, Daniel C., Fernando Torres, Amit Banga, et al.. (2017). Outcomes of Treatment of Donor Specific Antibodies: A Single Center Experience. The Journal of Heart and Lung Transplantation. 36(4). S410–S411. 1 indexed citations
4.
Obuchowski, Nancy A., Andrew J. Buckler, Paul E. Kinahan, et al.. (2016). Statistical Issues in Testing Conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Profile Claims. Academic Radiology. 23(4). 496–506. 20 indexed citations
5.
Crowley, Anna Lisa, Eric Yow, Huiman X. Barnhart, et al.. (2016). Critical Review of Current Approaches for Echocardiographic Reproducibility and Reliability Assessment in Clinical Research. Journal of the American Society of Echocardiography. 29(12). 1144–1154.e7. 27 indexed citations
6.
Field, John K., Denise R. Aberle, Nasser K. Altorki, et al.. (2014). The International Association Study Lung Cancer (IASLC) Strategic Screening Advisory Committee (SSAC) Response to the USPSTF Recommendations. Journal of Thoracic Oncology. 9(2). 141–143. 17 indexed citations
7.
Buckler, Andrew J., et al.. (2011). Quantitative Imaging Test Approval and Biomarker Qualification: Interrelated but Distinct Activities. Radiology. 259(3). 875–884. 60 indexed citations
8.
Sullivan, Daniel C. & Stanley W. Chapman. (2010). Bacteria That Masquerade as Fungi: Actinomycosis/Nocardia. Proceedings of the American Thoracic Society. 7(3). 216–221. 66 indexed citations
9.
Aberle, Denise R., William C. Black, Timothy R. Church, et al.. (2010). The National Lung Screening Trial: Overview and Study Design. Radiology. 258(1). 243–253. 899 indexed citations breakdown →
10.
Buckler, Andrew J., P. David Mozley, Lawrence H. Schwartz, et al.. (2009). Volumetric CT in Lung Cancer. Academic Radiology. 17(1). 107–115. 33 indexed citations
11.
Rohrich, Rod J. & Daniel C. Sullivan. (2009). Plagiarism and Dual Publication: Review of the Issues and Policy Statement. Plastic & Reconstructive Surgery. 124(4). 1333–1339. 7 indexed citations
12.
Sullivan, Daniel C.. (2008). Imaging as a Quantitative Science. Radiology. 248(2). 328–332. 37 indexed citations
14.
Sullivan, Daniel C.. (2002). The NCI Biomedical Imaging Program. Academic Radiology. 9(1). 122–125. 3 indexed citations
15.
Staab, Edward V., et al.. (2001). NCI Image Archive Management Workshop. Academic Radiology. 8(7). 690–691. 3 indexed citations
16.
Sullivan, Daniel C.. (2000). NIH and cost-effectiveness studies for imaging. European Radiology. 10(S3). S408–S410.
17.
Clarke, Laurence P., et al.. (2000). National cancer institute initiative for development of novel imaging technologies. Academic Radiology. 7(6). 481–483. 6 indexed citations
18.
Beam, Craig A. & Daniel C. Sullivan. (1996). Variability in mammogram interpretation.. PubMed. 15(9). 47, 49–50, 52. 4 indexed citations
19.
Sullivan, Daniel C., et al.. (1996). Circumcision: how do urologists do it?. British Journal of Urology. 78(2). 265–270. 22 indexed citations
20.
Sullivan, Daniel C., et al.. (1996). Effect of human variability on independent double reading in screening mammography. Academic Radiology. 3(11). 891–897. 63 indexed citations

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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