Andrew Abboud

522 total citations
18 papers, 370 citations indexed

About

Andrew Abboud is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrew Abboud has authored 18 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrew Abboud's work include Sepsis Diagnosis and Treatment (5 papers), Neonatal Respiratory Health Research (4 papers) and Immune Response and Inflammation (4 papers). Andrew Abboud is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Neonatal Respiratory Health Research (4 papers) and Immune Response and Inflammation (4 papers). Andrew Abboud collaborates with scholars based in United States and Canada. Andrew Abboud's co-authors include Yoram Vodovotz, Rubén Zamora, Timothy R. Billiar, Rami A. Namas, James L. Januzzi, Qi Mi, Khalid Almahmoud, Akram Zaaqoq, Derek Barclay and Jinling Yin and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Andrew Abboud

18 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Abboud United States	11	116	111	79	51	50	18	370
Ali Ghuma United States	6	79 0.7×	104 0.9×	72 0.9×	30 0.6×	17 0.3×	8	299
Dirk van Lier Netherlands	9	52 0.4×	105 0.9×	46 0.6×	41 0.8×	53 1.1×	15	301
Andrés Torres United States	8	72 0.6×	139 1.3×	90 1.1×	139 2.7×	77 1.5×	19	431
Martijn P. W. J. M. Bouw Netherlands	11	169 1.5×	167 1.5×	114 1.4×	92 1.8×	67 1.3×	14	560
Benedikt Hermann Siegler Germany	10	127 1.1×	148 1.3×	86 1.1×	50 1.0×	43 0.9×	30	368
Sun Ju Kim South Korea	11	70 0.6×	92 0.8×	200 2.5×	70 1.4×	32 0.6×	30	446
Chantal Montémont France	9	95 0.8×	179 1.6×	47 0.6×	128 2.5×	68 1.4×	10	443
Hongsheng Ren China	9	36 0.3×	88 0.8×	72 0.9×	66 1.3×	67 1.3×	27	329
Paul Glynne United Kingdom	11	59 0.5×	70 0.6×	99 1.3×	41 0.8×	40 0.8×	21	475
Guang‐wei Hao China	12	75 0.6×	54 0.5×	92 1.2×	104 2.0×	72 1.4×	27	415

Countries citing papers authored by Andrew Abboud

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Abboud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Abboud

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Abboud. A scholar is included among the top collaborators of Andrew Abboud 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 Andrew Abboud. Andrew Abboud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Mohebi, Reza, Cian P. McCarthy, Gillian Murtagh, et al.. (2022). Relation of High-Sensitivity Cardiac Troponin I and Obstructive Coronary Artery Disease in Patients Without Acute Myocardial Infarction. The American Journal of Cardiology. 173. 16–24. 9 indexed citations

Mohebi, Reza, Sean Murphy, Cian P. McCarthy, et al.. (2022). Biomarker Prognostication Across Universal Definition of Heart Failure Stages. ESC Heart Failure. 9(6). 3876–3887. 11 indexed citations

Azhar, Nabil, Rami A. Namas, Khalid Almahmoud, et al.. (2021). A putative “chemokine switch” that regulates systemic acute inflammation in humans. Scientific Reports. 11(1). 9703–9703. 14 indexed citations

Namas, Rami A., Qi Mi, Jinling Yin, et al.. (2021). Computational Derivation of Core, Dynamic Human Blunt Trauma Inflammatory Endotypes. Frontiers in Immunology. 11. 589304–589304. 15 indexed citations

Abboud, Andrew & James L. Januzzi. (2021). Reverse Cardiac Remodeling and ARNI Therapy. Current Heart Failure Reports. 18(2). 71–83. 29 indexed citations

Abboud, Andrew, Hanna K. Gaggin, Nasrien E. Ibrahim, et al.. (2021). Multiple Cardiac Biomarker Testing Among Patients With Acute Dyspnea From the ICON-RELOADED Study. Journal of Cardiac Failure. 28(2). 226–233. 4 indexed citations

Abboud, Andrew, Kemar Brown, David M. Dudzinski, et al.. (2021). Rationale and design of the preserved versus reduced ejection fraction biomarker registry and precision medicine database for ambulatory patients with heart failure (PREFER-HF) study. Open Heart. 8(2). e001704–e001704. 4 indexed citations

Abboud, Andrew, Alexander Camacho, Michael T. Osborne, et al.. (2020). CARE TRAJECTORY AND EARLY CLINICAL FEATURES AMONG PATIENTS WITH 99MTC-PYROPHOSPHATE POSITIVE TRANSTHYRETIN AMYLOID CARDIOMYOPATHY (ATTR-CM). Journal of the American College of Cardiology. 75(11). 820–820. 1 indexed citations

Almahmoud, Khalid, Andrew Abboud, Rami A. Namas, et al.. (2019). Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries. PLoS ONE. 14(6). e0217577–e0217577. 17 indexed citations

10.

Namas, Rami A., Jinling Yin, Derek Barclay, et al.. (2019). MPPED2 Polymorphism Is Associated With Altered Systemic Inflammation and Adverse Trauma Outcomes. Frontiers in Genetics. 10. 1115–1115. 8 indexed citations

11.

Sud, Vikas, Andrew Abboud, Samer Tohme, et al.. (2018). IL-17A – A regulator in acute inflammation: Insights from in vitro, in vivo and in silico studies. Cytokine. 139. 154344–154344. 16 indexed citations

12.

Namas, Rami A., Jinling Yin, Dongmei Liu, et al.. (2017). An Enrichment Strategy Yields Seven Novel Single Nucleotide Polymorphisms Associated With Mortality and Altered Th17 Responses Following Blunt Trauma. Shock. 49(3). 259–268. 19 indexed citations

13.

Abboud, Andrew, et al.. (2017). Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology. Computation. 5(4). 46–46. 1 indexed citations

14.

Constantine, Gregory, Qi Mi, Andrew Abboud, et al.. (2016). Dynamic Profiling: Modeling the Dynamics of Inflammation and Predicting Outcomes in Traumatic Brain Injury Patients. Frontiers in Pharmacology. 7. 383–383. 9 indexed citations

15.

Abboud, Andrew, Qi Mi, Ava M. Puccio, et al.. (2016). Inflammation Following Traumatic Brain Injury in Humans: Insights from Data-Driven and Mechanistic Models into Survival and Death. Frontiers in Pharmacology. 7. 342–342. 34 indexed citations

16.

Abboud, Andrew, Rami A. Namas, Qi Mi, et al.. (2016). Computational Analysis Supports an Early, Type 17 Cell-Associated Divergence of Blunt Trauma Survival and Mortality*. Critical Care Medicine. 44(11). e1074–e1081. 60 indexed citations

17.

Namas, Rami A., Qi Mi, Rajaie Namas, et al.. (2015). Insights into the Role of Chemokines, Damage-Associated Molecular Patterns, and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced Inflammation. Antioxidants and Redox Signaling. 23(17). 1370–1387. 62 indexed citations

18.

Brown, David, Rami A. Namas, Khalid Almahmoud, et al.. (2015). Trauma in silico: Individual-specific mathematical models and virtual clinical populations. Science Translational Medicine. 7(285). 285ra61–285ra61. 57 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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