Charles J. Mullett

758 total citations
31 papers, 504 citations indexed

About

Charles J. Mullett is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Applied Microbiology and Biotechnology. According to data from OpenAlex, Charles J. Mullett has authored 31 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Applied Microbiology and Biotechnology. Recurrent topics in Charles J. Mullett's work include Antibiotic Use and Resistance (5 papers), Acute Kidney Injury Research (4 papers) and Topic Modeling (3 papers). Charles J. Mullett is often cited by papers focused on Antibiotic Use and Resistance (5 papers), Acute Kidney Injury Research (4 papers) and Topic Modeling (3 papers). Charles J. Mullett collaborates with scholars based in United States. Charles J. Mullett's co-authors include J. Michael Dean, John C. Christenson, V. Jagannathan, John R. Phillips, John G. Thomas, Lee A. Pyles, Gianfranco Doretto, Donald Adjeroh, Arif R Sarwari and Peter R. Giacobbi and has published in prestigious journals such as PEDIATRICS, Journal of Lipid Research and The Journal of Pediatrics.

In The Last Decade

Charles J. Mullett

31 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles J. Mullett United States 11 109 98 89 77 68 31 504
Jason Gordon United Kingdom 17 60 0.6× 25 0.3× 41 0.5× 67 0.9× 34 0.5× 72 742
Cara O’Brien United States 14 54 0.5× 79 0.8× 37 0.4× 143 1.9× 233 3.4× 20 1.2k
Hernan Polo Friz Italy 14 26 0.2× 107 1.1× 12 0.1× 159 2.1× 36 0.5× 42 921
Eric Pifer United States 7 48 0.4× 251 2.6× 16 0.2× 95 1.2× 19 0.3× 8 384
Heleen van der Sijs Netherlands 13 39 0.4× 223 2.3× 38 0.4× 136 1.8× 4 0.1× 31 565
Andrea Sikora United States 17 54 0.5× 27 0.3× 47 0.5× 152 2.0× 49 0.7× 108 865
E.W.M.T. ter Braak Netherlands 13 47 0.4× 37 0.4× 14 0.2× 258 3.4× 14 0.2× 21 984
Jens Schierbeck Denmark 10 37 0.3× 40 0.4× 43 0.5× 61 0.8× 112 1.6× 24 502
Alan Whippy United States 7 63 0.6× 30 0.3× 31 0.3× 241 3.1× 74 1.1× 10 1.0k
Hiroshi Ikai Japan 15 51 0.5× 32 0.3× 13 0.1× 50 0.6× 29 0.4× 38 488

Countries citing papers authored by Charles J. Mullett

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Mullett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles J. Mullett. 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 Charles J. Mullett. The network helps show where Charles J. Mullett may publish in the future.

Co-authorship network of co-authors of Charles J. Mullett

This figure shows the co-authorship network connecting the top 25 collaborators of Charles J. Mullett. A scholar is included among the top collaborators of Charles J. Mullett 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 Charles J. Mullett. Charles J. Mullett 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.
Nagy, Matthew, et al.. (2023). Predicting pediatric cardiac surgery-associated acute kidney injury using machine learning. Pediatric Nephrology. 39(4). 1263–1270. 5 indexed citations
2.
Shawwa, Khaled, Paul McCarthy, Charles J. Mullett, et al.. (2022). Acceptance of Acute Kidney Injury Alert by Providers in Cardiac Surgery Intensive Care Unit. Applied Clinical Informatics. 14(1). 119–127. 4 indexed citations
3.
Mullett, Charles J., et al.. (2021). Utility of telemedicine in pediatric rheumatology during the COVID-19 pandemic. Pediatric Rheumatology. 19(1). 148–148. 4 indexed citations
4.
Rahman, Syed A., Peter R. Giacobbi, Lee A. Pyles, et al.. (2020). Deep learning for biological age estimation. Briefings in Bioinformatics. 22(2). 1767–1781. 44 indexed citations
5.
Pyles, Lee A., et al.. (2020). Cardiometabolic risk factors in siblings from a statewide screening program. Journal of clinical lipidology. 14(6). 762–771. 1 indexed citations
6.
Thompson, Lauren, et al.. (2019). Epidemiology of abusive head trauma in West Virginia children <24 months: 2000–2010. Child Abuse & Neglect. 93. 215–221. 10 indexed citations
7.
Zullig, Keith J., Dustin M. Long, Charles J. Mullett, et al.. (2016). Developing Methods of Repurposing Electronic Health Record Data for Identification of Older Adults at Risk of Unintentional Falls.. PubMed. 13. 1b–1b. 9 indexed citations
8.
Mullett, Charles J., et al.. (2015). Case 2: Fever and Irritability in a 15-year-old Boy With Autism. Pediatrics in Review. 36(7). 313–315. 2 indexed citations
9.
Phillips, John R., et al.. (2012). Ketogenic Diet: Rapid Onset of Selenium Deficiency-Induced Cardiac Decompensation. Pediatric Cardiology. 33(5). 834–838. 32 indexed citations
10.
Mullett, Charles J., et al.. (2012). Machine learning-based coreference resolution of concepts in clinical documents. Journal of the American Medical Informatics Association. 19(5). 883–887. 8 indexed citations
11.
Mullett, Charles J., et al.. (2009). Natural Language Processing Framework to Assess Clinical Conditions. Journal of the American Medical Informatics Association. 16(4). 585–589. 26 indexed citations
12.
Lutfi, Riad, Charles J. Mullett, & Linda S. Nield. (2009). Acute Subdural Hematoma. Pediatric Emergency Care. 25(9). 582–583. 5 indexed citations
13.
Jagannathan, V., et al.. (2008). Assessment of commercial NLP engines for medication information extraction from dictated clinical notes. International Journal of Medical Informatics. 78(4). 284–291. 57 indexed citations
14.
Mullett, Charles J., et al.. (2006). Octreotide efficacy in the treatment of chylothoraces following cardiac surgery in infants and children. Pediatric Critical Care Medicine. 7(3). 245–248. 17 indexed citations
15.
Phillips, John R., et al.. (2006). Infantile Kawasaki disease and peripheral gangrene. The Journal of Pediatrics. 149(1). 131–133. 18 indexed citations
16.
Mullett, Charles J., et al.. (2004). Computerized antimicrobial decision support: an offline evaluation of a database-driven empiric antimicrobial guidance program in hospitalized patients with a bloodstream infection. International Journal of Medical Informatics. 73(5). 455–460. 24 indexed citations
17.
18.
Mullett, Charles J., et al.. (2003). Computerized antimicrobial decision support for hospitalized patients with a bloodstream infection.. PubMed. 946–946. 2 indexed citations
19.
Hummel, Marybeth, David Cunningham, Charles J. Mullett, Richard I. Kelley, & Gail E. Herman. (2003). Left‐sided CHILD syndrome caused by a nonsense mutation in the NSDHL gene. American Journal of Medical Genetics Part A. 122A(3). 246–251. 32 indexed citations
20.
Mullett, Charles J., et al.. (1992). Age-Related Changes in Pulmonary Venous Epinephrine Concentration, and Pulmonary Vascular Response after Intratracheal Epinephrine. Pediatric Research. 31(5). 458–461. 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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2026