Daniel C. Sullivan

20 papers receiving 1.2k citations

Peers

Daniel C. Sullivan
Comparison fields: 5 of 113
  • Internal Medicine 49
  • Radiology, Nuclear Medicine and Imaging 260
  • Pathology and Forensic Medicine 180
  • Pulmonary and Respiratory Medicine 261
  • Cancer Research 110
Replace S Harnan with:
S Harnan United Kingdom
Claudia Schueller-Weidekamm Austria
Byron K. Lee United States
Siew Wan Hee United Kingdom
Adrian Bickerstaffe Australia
Isabelle Trop Canada
Paul Craft Australia
Keng Siang Lee United Kingdom
Michael T. C. Poon United Kingdom
Ofra Barnett‐Griness Israel
Daniel C. Sullivan relative to S Harnan United Kingdom S Harnan's profile →
Citations per field
00.5×2×3.1×
S Harnan · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005323
2 1999305
3 2011192
4 2009116
5 199788
6 198256
7 198740
8 197829
9 200528
10 201113
11 201711
12 19867
13 20117
14 19956
15 20174
16 19683
17 19813
18 19863
19 20122
20 19881

About Daniel C. Sullivan

Daniel C. Sullivan is a scholar working on Statistics, Probability and Uncertainty, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (2 papers), Meta-analysis and systematic reviews (2 papers), Radiation Dose and Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Clinical practice guidelines implementation (2 papers), Medical Imaging and Pathology Studies (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and History of Medical Practice (2 papers). The work is most often cited by research in Internal Medicine (49 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Pathology and Forensic Medicine (180 citations), Pulmonary and Respiratory Medicine (261 citations) and Cancer Research (110 citations). Daniel C. Sullivan has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include James L. Mulshine, Susan Greenstein Orel, Rod J. Rohrich, Carol A. Reynolds, Nicole Kay, Kevin C. Chung, Felmont F. Eaves, Jennifer Swanson, DeLaine Schmitz and Lawrence J. Solin. Their work appears in journals such as Plastic & Reconstructive Surgery, Investigative Radiology, Radiology, Academic Radiology and Self and Identity.

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.

Explore authors with similar magnitude of impact