SD Sullivan

984 citations
30 papers · 86 · h-index 6

Impact in

Papers in

SD Sullivan

27 papers receiving 80 citations

Peers

SD Sullivan
Comparison fields: 5 of 46
  • Hepatology 7
  • Physiology 20
  • Health Informatics 1
  • Urology 4
  • Epidemiology 20
Replace Daniel Burguete with:
Daniel Burguete United States
Jianrong Jin China
Mandeep Sahani United States
Rossella D’Alessio Italy
James Pocock Malta
Richard Beable United Kingdom
Sandrine Beaulieu France
Mohleen Kang United States
Matthieu Buscot France
Suzy Lishman United Kingdom
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Citations per field
00.5×2×3.3×
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Citations per year

Countries citing papers authored by SD Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by SD Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200813
2
Radiological Society of North America. Chicago, 2002
200211
3 20019
4 20096
5 19995
6 20015
7
International Society for Pharmacoeconomics and Outcome Research
20025
8 20184
9 20033
10 20033
11 20062
12 19992
13 20022
14 20132
15 20112
16 20011
17 20221
18 20081
19 20081
20 20161

About SD Sullivan

SD Sullivan is a scholar working on Economics and Econometrics, Pulmonary and Respiratory Medicine, Epidemiology, Rheumatology and Psychiatry and Mental health, having authored 30 papers that have together received 86 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Hepatitis C virus research (3 papers), Migraine and Headache Studies (2 papers), Urinary Bladder and Prostate Research (2 papers), Pelvic floor disorders treatments (2 papers), Respiratory and Cough-Related Research (2 papers), Inhalation and Respiratory Drug Delivery (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (7 citations), Physiology (20 citations), Health Informatics (1 citation), Urology (4 citations) and Epidemiology (20 citations). SD Sullivan has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Sanjay Saint, DL Veenstra, William Hollingworth, Lawrence Rasouliyan, Sally E. Wenzel, Larry Borish, Nathorn Chaiyakunapruk, Stephen Bent, Tmirah Haselkorn and Jonathan D. Campbell. Their work appears in journals such as Value in Health, European Respiratory Journal, Journal of Clinical Oncology, Journal of Hepatology and The Journal of Urology.

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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