Sean McElligott

1.3k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Sean McElligott is a scholar working on Economics and Econometrics, Immunology and Surgery. According to data from OpenAlex, Sean McElligott has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 7 papers in Immunology and 6 papers in Surgery. Recurrent topics in Sean McElligott's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (8 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Sean McElligott is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (8 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Sean McElligott collaborates with scholars based in United States, Belgium and Canada. Sean McElligott's co-authors include Hiram Beltrán‐Sánchez, Michael O. Harhay, Jalpa A. Doshi, J. Sanford Schwartz, Pengxiang Li, Karen Thompson, Elizabeth A. Handorf, David A. Asch, Katrina Armstrong and Mirar Bristol Demeter and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Sean McElligott

26 papers receiving 981 citations

Hit Papers

Prevalence and Trends of Metabolic Syndrome in the Adult ... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean McElligott United States 12 245 184 156 148 137 26 1.0k
Hiroyuki Sakamaki Japan 18 246 1.0× 111 0.6× 158 1.0× 72 0.5× 105 0.8× 82 1.2k
Shahnaz Khan United States 14 155 0.6× 58 0.3× 105 0.7× 93 0.6× 73 0.5× 30 816
Moshe Hoshen Israel 21 163 0.7× 105 0.6× 224 1.4× 142 1.0× 69 0.5× 67 1.7k
F Lucy Wright United Kingdom 11 109 0.4× 140 0.8× 179 1.1× 179 1.2× 88 0.6× 15 1.3k
Ho-Chun Choi South Korea 19 359 1.5× 176 1.0× 243 1.6× 93 0.6× 32 0.2× 63 1.1k
Nishant Shah United States 17 182 0.7× 146 0.8× 142 0.9× 146 1.0× 63 0.5× 71 1.1k
Huang‐Tz Ou Taiwan 22 555 2.3× 101 0.5× 199 1.3× 124 0.8× 126 0.9× 112 1.3k
José Rocha Faria‐Neto Brazil 20 347 1.4× 210 1.1× 230 1.5× 278 1.9× 60 0.4× 77 1.7k
Yoko Izumi Japan 18 140 0.6× 118 0.6× 135 0.9× 143 1.0× 33 0.2× 55 1.0k
Maximilian König Germany 18 90 0.4× 258 1.4× 112 0.7× 85 0.6× 56 0.4× 36 956

Countries citing papers authored by Sean McElligott

Since Specialization
Citations

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

Fields of papers citing papers by Sean McElligott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean McElligott

This figure shows the co-authorship network connecting the top 25 collaborators of Sean McElligott. A scholar is included among the top collaborators of Sean McElligott 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 Sean McElligott. Sean McElligott 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
2.
Ali, Yousuf, et al.. (2024). Treatment Patterns Among Early Inclisiran vs Anti–PCSK9 mAbs Users: A Retrospective Analysis of US Claims Databases. Journal of clinical lipidology. 18(4). e515–e516. 3 indexed citations
3.
Ballantyne, Christie M., Timothy E. Graham, Bruce Iteld, et al.. (2024). REDUCTIONS IN LDL-C WITHIN THE FIRST YEAR OF TREATMENT WITH INCLISIRAN: RESULTS FROM A MULTICENTER REAL WORLD COHORT. Journal of the American College of Cardiology. 83(13). 1941–1941. 1 indexed citations
5.
Ballantyne, Christie M., Timothy E. Graham, Bruce Iteld, et al.. (2023). Characteristics Associated with Inclisiran Initiation in Outpatient Physician Clinics. Journal of clinical lipidology. 17(4). e33–e34. 1 indexed citations
6.
Teeple, Amanda, et al.. (2019). A multinational assessment of work‐related productivity loss and indirect costs from a survey of patients with psoriasis. British Journal of Dermatology. 183(3). 548–558. 43 indexed citations
7.
McElligott, Sean, et al.. (2019). Telangiectasia Macularis Eruptiva Perstans: Report of Three Cases.. PubMed. 15(3). 171–174. 3 indexed citations
8.
Diels, Joris, et al.. (2019). Adjusted treatment COMPArisons between guSelkumab and uStekinumab for treatment of moderate‐to‐severe plaque psoriasis: the COMPASS analysis. British Journal of Dermatology. 183(2). 276–284. 21 indexed citations
11.
Glick, Henry A., Sean McElligott, Mark V. Pauly, et al.. (2015). Comparative Effectiveness And Cost-Effectiveness Analyses Frequently Agree On Value. Health Affairs. 34(5). 805–811. 13 indexed citations
12.
Goldsack, Jennifer C., Cynthia Reilly, Colleen Bush, et al.. (2014). Impact of shortages of injectable oncology drugs on patient care. American Journal of Health-System Pharmacy. 71(7). 571–578. 32 indexed citations
13.
Beltrán‐Sánchez, Hiram, et al.. (2013). Prevalence and Trends of Metabolic Syndrome in the Adult U.S. Population, 1999–2010. Journal of the American College of Cardiology. 62(8). 697–703. 562 indexed citations breakdown →
14.
Anderson, Brett R., Sean McElligott, Daniel Polsky, & Victoria L. Vetter. (2013). Electrocardiographic Screening for Hypertrophic Cardiomyopathy and Long QT Syndrome: The Drivers of Cost-Effectiveness for the Prevention of Sudden Cardiac Death. Pediatric Cardiology. 35(2). 323–331. 7 indexed citations
15.
Schwartz, Robert A., et al.. (2012). Cutaneous leishmaniasis and rickettsial African tick‐bite fever: a combination of exotic traveler’s diseases in the same patient. International Journal of Dermatology. 51(8). 960–963. 12 indexed citations
16.
McElligott, Sean, et al.. (2012). How Genetic Variant Libraries Effectively Extend Gene Testing Patents: Implications for Intellectual Property and Good Clinical Care. Journal of Clinical Oncology. 30(24). 2943–2945. 2 indexed citations
17.
Apter, Andrea J., Xingmei Wang, Daniel K. Bogen, et al.. (2011). Problem solving to improve adherence and asthma outcomes in urban adults with moderate or severe asthma: A randomized controlled trial. Journal of Allergy and Clinical Immunology. 128(3). 516–523.e5. 53 indexed citations
18.
McElligott, Sean, et al.. (2010). Treatment of Gorham-Stout Disease With Zoledronic Acid and Interferon-α: A Case Report and Literature Review. Journal of Pediatric Hematology/Oncology. 32(8). 579–584. 44 indexed citations
19.
Puig, Andrea, et al.. (2010). Albuterol and levalbuterol use and spending in medicare beneficiaries with chronic obstructive pulmonary disease. ˜The œAmerican journal of geriatric pharmacotherapy. 8(6). 571–582. 1 indexed citations
20.
McElligott, Sean. (2009). Addressing Supply Side Barriers to Introduction of New Vaccines to the Developing World. American Journal of Law & Medicine. 35(2-3). 415–441. 10 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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