Matthew A. Eisenberg

1.4k total citations
37 papers, 923 citations indexed

About

Matthew A. Eisenberg is a scholar working on Epidemiology, Emergency Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Matthew A. Eisenberg has authored 37 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 17 papers in Emergency Medicine and 10 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Matthew A. Eisenberg's work include Sepsis Diagnosis and Treatment (17 papers), Emergency and Acute Care Studies (12 papers) and Nosocomial Infections in ICU (9 papers). Matthew A. Eisenberg is often cited by papers focused on Sepsis Diagnosis and Treatment (17 papers), Emergency and Acute Care Studies (12 papers) and Nosocomial Infections in ICU (9 papers). Matthew A. Eisenberg collaborates with scholars based in United States and Canada. Matthew A. Eisenberg's co-authors include Rebekah Mannix, William P. Meehan, Mark A. Del Beccaro, Howard E. Jeffries, Joel D. Hudgins, Michael C. Monuteaux, Fran Balamuth, Marvin B. Harper, Joshua Nagler and Kate Madden and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and The Journal of Pediatrics.

In The Last Decade

Matthew A. Eisenberg

33 papers receiving 893 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew A. Eisenberg 594 390 278 132 128 37 923
Louis E. Penrod 236 0.4× 855 2.2× 809 2.9× 57 0.4× 129 1.0× 17 1.7k
Alex Hoffman 730 1.2× 147 0.4× 209 0.8× 181 1.4× 25 0.2× 26 1.1k
Mary R. Suchyta 375 0.6× 648 1.7× 198 0.7× 103 0.8× 23 0.2× 28 2.0k
Stephen Hoffmann 234 0.4× 81 0.2× 90 0.3× 33 0.3× 38 0.3× 16 1.0k
Jason T. McMullan 445 0.7× 809 2.1× 238 0.9× 100 0.8× 5 0.0× 59 1.4k
Khalid F. Almoosa 78 0.1× 196 0.5× 95 0.3× 50 0.4× 41 0.3× 29 1.2k
Bill Barger 354 0.6× 497 1.3× 130 0.5× 176 1.3× 9 0.1× 20 1.0k
Marie Louise Svendsen 302 0.5× 49 0.1× 115 0.4× 74 0.6× 47 0.4× 24 602
Debra Eagles 106 0.2× 266 0.7× 89 0.3× 104 0.8× 9 0.1× 79 870
Arthur André 135 0.2× 151 0.4× 105 0.4× 85 0.6× 9 0.1× 20 757

Countries citing papers authored by Matthew A. Eisenberg

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Eisenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Eisenberg. 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 Matthew A. Eisenberg. The network helps show where Matthew A. Eisenberg may publish in the future.

Co-authorship network of co-authors of Matthew A. Eisenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Eisenberg. A scholar is included among the top collaborators of Matthew A. Eisenberg 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 Matthew A. Eisenberg. Matthew A. Eisenberg 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.
2.
Michelson, Kenneth A., et al.. (2024). Development of a New Screening Tool for Pediatric Septic Shock. Annals of Emergency Medicine. 84(6). 642–650. 1 indexed citations
3.
Vanier, Cheryl, et al.. (2023). Diffusion in the corpus callosum predicts persistence of clinical symptoms after mild traumatic brain injury, a multi-scanner study. SHILAP Revista de lepidopterología. 2. 1153115–1153115. 3 indexed citations
4.
Herigon, Joshua C., et al.. (2023). Characteristics and Outcomes of Culture-Positive and Culture-Negative Pediatric Sepsis. The Journal of Pediatrics. 263. 113718–113718. 4 indexed citations
5.
Michelson, Kenneth A., et al.. (2023). A Temperature- and Age-Adjusted Shock Index for Emergency Department Identification of Pediatric Sepsis. Annals of Emergency Medicine. 82(4). 494–502. 7 indexed citations
6.
Eisenberg, Matthew A., Raina Paul, Fran Balamuth, et al.. (2022). Association Between the First-Hour Intravenous Fluid Volume and Mortality in Pediatric Septic Shock. Annals of Emergency Medicine. 80(3). 213–224. 3 indexed citations
7.
Dribin, Timothy E., Margaret Lin, Alexander W. Hirsch, et al.. (2022). Reducing Pediatric Emergency Department Prescription Errors. PEDIATRICS. 149(6). 4 indexed citations
8.
Eisenberg, Matthew A., Andrew Capraro, Kate Madden, et al.. (2021). Outcomes of Patients with Sepsis in a Pediatric Emergency Department after Automated Sepsis Screening. The Journal of Pediatrics. 235. 239–245.e4. 6 indexed citations
9.
Monuteaux, Michael C., et al.. (2021). Effect of a Sepsis Screening Algorithm on Care of Children with False-Positive Sepsis Alerts. The Journal of Pediatrics. 231. 193–199.e1. 4 indexed citations
10.
Monuteaux, Michael C., et al.. (2021). Pediatric sepsis survival in pediatric and general emergency departments. The American Journal of Emergency Medicine. 51. 53–57. 11 indexed citations
11.
Eisenberg, Matthew A. & Fran Balamuth. (2021). Pediatric sepsis screening in US hospitals. Pediatric Research. 91(2). 351–358. 23 indexed citations
12.
Eisenberg, Matthew A., et al.. (2021). Exclusion of SARS-COV-2 From Two Maine Overnight Camps July-August 2020. Disaster Medicine and Public Health Preparedness. 16(5). 1792–1794. 1 indexed citations
13.
Byler, Shannon, et al.. (2021). Utility of specific laboratory biomarkers to predict severe sepsis in pediatric patients with SIRS. The American Journal of Emergency Medicine. 50. 778–783. 2 indexed citations
14.
Kimia, Amir A., Lise E. Nigrovic, Kyle A. Nelson, et al.. (2018). A method to identify pediatric high-risk diagnoses missed in the emergency department. Diagnosis. 5(2). 63–69. 7 indexed citations
15.
Miller, Kelsey A., et al.. (2018). Use of the C-MAC Macintosh 0 Blade for Intubation of Infants in the Emergency Department. Pediatric Emergency Care. 37(7). e404–e405. 1 indexed citations
16.
Eisenberg, Matthew A., et al.. (2018). Central Line–Associated Bloodstream Infection among Children with Intestinal Failure Presenting to the Emergency Department with Fever. The Journal of Pediatrics. 196. 237–243.e1. 21 indexed citations
17.
Hudgins, Joel D., et al.. (2017). Reducing Time to Antibiotics in Children With Intestinal Failure, Central Venous Line, and Fever. PEDIATRICS. 140(5). e20171201–e20171201. 10 indexed citations
18.
Mannix, Rebekah, Matthew A. Eisenberg, Mark Berry, William P. Meehan, & Ronald L. Hayes. (2014). Serum Biomarkers Predict Acute Symptom Burden in Children after Concussion: A Preliminary Study. Journal of Neurotrauma. 31(11). 1072–1075. 35 indexed citations
19.
Eisenberg, Matthew A., et al.. (2012). Cardiac Troponin T as a Screening Test for Myocarditis in Children. Pediatric Emergency Care. 28(11). 1173–1178. 23 indexed citations
20.
Beccaro, Mark A. Del, et al.. (2006). Computerized Provider Order Entry Implementation: No Association With Increased Mortality Rates in an Intensive Care Unit. PEDIATRICS. 118(1). 290–295. 136 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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