Kimberly E. McHugh

970 total citations
22 papers, 335 citations indexed

About

Kimberly E. McHugh is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Kimberly E. McHugh has authored 22 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Surgery. Recurrent topics in Kimberly E. McHugh's work include Congenital Heart Disease Studies (13 papers), Congenital Diaphragmatic Hernia Studies (3 papers) and Healthcare Policy and Management (3 papers). Kimberly E. McHugh is often cited by papers focused on Congenital Heart Disease Studies (13 papers), Congenital Diaphragmatic Hernia Studies (3 papers) and Healthcare Policy and Management (3 papers). Kimberly E. McHugh collaborates with scholars based in United States and Canada. Kimberly E. McHugh's co-authors include Diane G. Hillman, Howard P. Gutgesell, Peter N. Dean, Mark A. Scheurer, Sara K. Pasquali, Matt Hall, Matthew J. Gurka, Mark R. Conaway, Shahryar M. Chowdhury and Traci C. Green and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PEDIATRICS.

In The Last Decade

Kimberly E. McHugh

21 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly E. McHugh United States 12 234 137 116 81 38 22 335
Michelle Steltzer United States 7 354 1.5× 187 1.4× 87 0.8× 183 2.3× 34 0.9× 8 408
Kathy A. Mussatto United States 10 352 1.5× 222 1.6× 128 1.1× 201 2.5× 70 1.8× 11 523
Joyce Slusher United States 5 183 0.8× 136 1.0× 91 0.8× 62 0.8× 17 0.4× 7 353
Julie Slicker United States 11 370 1.6× 265 1.9× 59 0.5× 231 2.9× 24 0.6× 13 533
Raina Sinha United States 7 138 0.6× 160 1.2× 144 1.2× 84 1.0× 35 0.9× 16 270
Susan George United States 11 44 0.2× 161 1.2× 92 0.8× 55 0.7× 8 0.2× 32 345
Wendell H. Williams United States 9 139 0.6× 168 1.2× 115 1.0× 120 1.5× 21 0.6× 16 404
Ricardo Mack Guatemala 8 169 0.7× 86 0.6× 51 0.4× 94 1.2× 19 0.5× 12 335
James J. Fehr United States 11 35 0.1× 113 0.8× 67 0.6× 120 1.5× 56 1.5× 28 414
David F. Vener United States 13 206 0.9× 158 1.2× 175 1.5× 107 1.3× 38 1.0× 34 414

Countries citing papers authored by Kimberly E. McHugh

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly E. McHugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly E. McHugh. 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 Kimberly E. McHugh. The network helps show where Kimberly E. McHugh may publish in the future.

Co-authorship network of co-authors of Kimberly E. McHugh

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly E. McHugh. A scholar is included among the top collaborators of Kimberly E. McHugh 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 Kimberly E. McHugh. Kimberly E. McHugh 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.
McHugh, Kimberly E., et al.. (2025). Sodium-glucose cotransporter-2 inhibitor use in patients with a Fontan circulation. Cardiology in the Young. 35(4). 745–747. 2 indexed citations
2.
O’Byrne, Michael L., Kimberly E. McHugh, Jing Huang, et al.. (2022). Cumulative In-Hospital Costs Associated With Single-Ventricle Palliation. JACC Advances. 1(2). 100029–100029. 4 indexed citations
3.
Chowdhury, Shahryar M., et al.. (2020). A transition clinic intervention to improve follow-up rates in adolescents and young adults with congenital heart disease. Cardiology in the Young. 30(5). 633–640. 22 indexed citations
4.
Chowdhury, Shahryar M., et al.. (2020). Abstract 17241: The Impact of Overweight and Obesity on End-Organ Function in Fontan Patients. Circulation. 142(Suppl_3). 1 indexed citations
5.
McHugh, Kimberly E., William T. Mahle, Matt Hall, et al.. (2018). Hospital Costs Related to Early Extubation After Infant Cardiac Surgery. The Annals of Thoracic Surgery. 107(5). 1421–1426. 17 indexed citations
6.
McHugh, Kimberly E., et al.. (2018). Out-of-pocket medical expenses in severe CHD. Cardiology in the Young. 28(8). 1014–1018. 8 indexed citations
7.
Goldberg, David, Victor Zak, Bryan H. Goldstein, et al.. (2018). Design and rationale of the Fontan Udenafil Exercise Longitudinal (FUEL) trial. American Heart Journal. 201. 1–8. 16 indexed citations
8.
McHugh, Kimberly E., Sara K. Pasquali, Matt Hall, & Mark A. Scheurer. (2017). Cost Variation Across Centers for the Norwood Operation. The Annals of Thoracic Surgery. 105(3). 851–856. 17 indexed citations
9.
Manase, Dorin, Shan Chen, Richard Kim, et al.. (2017). Adrenergic receptor genotypes influence postoperative outcomes in infants in the Single-Ventricle Reconstruction Trial. Journal of Thoracic and Cardiovascular Surgery. 154(5). 1703–1710.e3. 8 indexed citations
10.
McHugh, Kimberly E., et al.. (2016). FACTORS IMPACTING VARIATION IN COST ACROSS CENTERS FOR PATIENTS UNDERGOING THE NORWOOD OPERATION. Journal of the American College of Cardiology. 67(13). 932–932.
11.
McHugh, Kimberly E., Sara K. Pasquali, Matt Hall, & Mark A. Scheurer. (2015). Impact of postoperative complications on hospital costs following the Norwood operation. Cardiology in the Young. 26(7). 1303–1309. 15 indexed citations
12.
Green, Traci C., et al.. (2015). Discrepancies in addressing overdose prevention through prescription monitoring programs. Drug and Alcohol Dependence. 153. 355–358. 13 indexed citations
13.
Donovan, Elizabeth, et al.. (2015). Efficacy of an online intervention to reduce alcohol-related risks among community college students. Addiction Research & Theory. 23(5). 437–447. 12 indexed citations
14.
15.
Green, Traci C., et al.. (2014). Strategies to reduce prescription opioid abuse in the United States: How have they influenced the epidemic?. Drug and Alcohol Dependence. 146. e129–e130. 2 indexed citations
16.
Dean, Peter N., Kimberly E. McHugh, Diane G. Hillman, Mark R. Conaway, & Howard P. Gutgesell. (2013). EFFECTS OF RACE, ETHNICITY AND GENDER ON SURGICAL MORTALITY FOR HYPOPLASTIC LEFT HEART SYNDROME. Journal of the American College of Cardiology. 61(10). E431–E431. 3 indexed citations
17.
Graham, Eric M., Andrew M. Atz, Kimberly E. McHugh, et al.. (2013). Preoperative steroid treatment does not improve markers of inflammation after cardiac surgery in neonates: Results from a randomized trial. Journal of Thoracic and Cardiovascular Surgery. 147(3). 902–908. 33 indexed citations
18.
Dean, Peter N., Kimberly E. McHugh, Mark R. Conaway, Diane G. Hillman, & Howard P. Gutgesell. (2013). Effects of Race, Ethnicity, and Gender on Surgical Mortality in Hypoplastic Left Heart Syndrome. Pediatric Cardiology. 34(8). 1829–1836. 34 indexed citations
19.
McHugh, Kimberly E., Diane G. Hillman, Matthew J. Gurka, & Howard P. Gutgesell. (2010). Three-stage Palliation of Hypoplastic Left Heart Syndrome in the University HealthSystem Consortium. Congenital Heart Disease. 5(1). 8–15. 27 indexed citations
20.

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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