Raja-Elie E. Abdulnour

2.9k total citations · 1 hit paper
22 papers, 838 citations indexed

About

Raja-Elie E. Abdulnour is a scholar working on Health Informatics, Artificial Intelligence and Immunology. According to data from OpenAlex, Raja-Elie E. Abdulnour has authored 22 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Informatics, 6 papers in Artificial Intelligence and 6 papers in Immunology. Recurrent topics in Raja-Elie E. Abdulnour's work include Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Raja-Elie E. Abdulnour is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Raja-Elie E. Abdulnour collaborates with scholars based in United States, Switzerland and Netherlands. Raja-Elie E. Abdulnour's co-authors include Bruce D. Levy, Nandini Krishnamoorthy, Vijay K. Kuchroo, Patrick R. Burkett, Dan Jurafsky, Emily Alsentzer, Judy Wawira Gichoya, Travis Zack, David W. Bates and Atul J. Butte and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Physiological Reviews.

In The Last Decade

Raja-Elie E. Abdulnour

21 papers receiving 825 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

2023 222 citations Travis Zack, Eric Lehman et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raja-Elie E. Abdulnour United States	10	222	187	145	131	124	22	838
Lucie Favre Switzerland	11	267 1.2×	38 0.2×	183 1.3×	246 1.9×	32 0.3×	50	1.0k
Risa M. Wolf United States	20	32 0.1×	80 0.4×	126 0.9×	200 1.5×	28 0.2×	76	1.0k
Charalampos Siristatidis Greece	25	283 1.3×	14 0.1×	73 0.5×	59 0.5×	48 0.4×	80	1.6k
Anela Tosevska Austria	16	38 0.2×	19 0.1×	113 0.8×	143 1.1×	17 0.1×	27	809
Eva Feigerlová France	18	83 0.4×	22 0.1×	175 1.2×	84 0.6×	5 0.0×	57	956
Anne Wojtusciszyn France	19	39 0.2×	38 0.2×	832 5.7×	87 0.7×	36 0.3×	53	1.5k
Martín Cadeiras United States	20	74 0.3×	14 0.1×	392 2.7×	68 0.5×	30 0.2×	88	993
Ivana Malenica United States	14	16 0.1×	138 0.7×	50 0.3×	70 0.5×	103 0.8×	22	925
Yueying Pan China	11	16 0.1×	22 0.1×	68 0.5×	107 0.8×	29 0.2×	23	1.1k

Countries citing papers authored by Raja-Elie E. Abdulnour

Since Specialization

Citations

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

Fields of papers citing papers by Raja-Elie E. Abdulnour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raja-Elie E. Abdulnour. 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 Raja-Elie E. Abdulnour. The network helps show where Raja-Elie E. Abdulnour may publish in the future.

Co-authorship network of co-authors of Raja-Elie E. Abdulnour

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

All Works

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20 of 20 papers shown

Shomron, Noam, et al.. (2025). Performance of Large Language Models in Numerical Versus Semantic Medical Knowledge: Cross-Sectional Benchmarking Study on Evidence-Based Questions and Answers. Journal of Medical Internet Research. 27. e64452–e64452. 1 indexed citations

Buckley, Thomas A., Byron Crowe, Raja-Elie E. Abdulnour, Adam Rodman, & Arjun K. Manrai. (2025). Comparison of Frontier Open-Source and Proprietary Large Language Models for Complex Diagnoses. JAMA Health Forum. 6(3). e250040–e250040. 5 indexed citations

Tavares, Luciana P., Thayse R. Brüggemann, R. Cagnina, et al.. (2025). Siglec-F ⁺ neutrophils promote the resolution of acute lung injury through ALOX15 induction. Science Immunology. 10(114). eaeb2657–eaeb2657.

Vokinger, Kerstin Noëlle, Derek Soled, & Raja-Elie E. Abdulnour. (2025). Regulation of AI: Learnings from Medical Education. NEJM AI. 2(5). 2 indexed citations

Boscardin, Christy, Raja-Elie E. Abdulnour, & Brian C. Gin. (2025). Macy Foundation Innovation Report Part I: Current Landscape of Artificial Intelligence in Medical Education. Academic Medicine. 100(9S). S15–S21. 1 indexed citations

Abdulnour, Raja-Elie E., Brian C. Gin, & Christy Boscardin. (2025). Educational Strategies for Clinical Supervision of Artificial Intelligence Use. New England Journal of Medicine. 393(8). 786–797. 8 indexed citations

Jundi, Bakr, et al.. (2024). AI-assisted human clinical reasoning in the ICU: beyond “to err is human”. Frontiers in Artificial Intelligence. 7. 1506676–1506676. 2 indexed citations

Cabral, Stephanie, Zahir Kanjee, Philip Wilson, et al.. (2024). Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians. JAMA Internal Medicine. 184(5). 581–581. 57 indexed citations

Rodman, Adam, et al.. (2024). Conversations on reasoning: Large language models in diagnosis. Journal of Hospital Medicine. 19(8). 731–735. 8 indexed citations

10.

Gin, Brian C., Patricia O’Sullivan, Karen E. Hauer, et al.. (2024). Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education. Academic Medicine. 100(3). 264–272. 6 indexed citations

11.

Zack, Travis, Eric Lehman, Mirac Süzgün, et al.. (2023). Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. The Lancet Digital Health. 6(1). e12–e22. 222 indexed citations breakdown →

12.

Brüggemann, Thayse R., Troy Carlo, Nandini Krishnamoorthy, et al.. (2022). Mouse phospholipid phosphatase 6 regulates dendritic cell cholesterol, macropinocytosis, and allergen sensitization. iScience. 25(10). 105185–105185. 2 indexed citations

13.

Jundi, Bakr, Do‐Hyun Lee, Hyungkook Jeon, et al.. (2021). Inflammation resolution circuits are uncoupled in acute sepsis and correlate with clinical severity. JCI Insight. 6(15). 16 indexed citations

14.

Tejera, Paula, et al.. (2020). Plasma Levels of Proresolving and Prophlogistic Lipid Mediators: Association With Severity of Respiratory Failure and Mortality in Acute Respiratory Distress Syndrome. Critical Care Explorations. 2(10). e0241–e0241. 14 indexed citations

15.

Singh, Prabhsimranjot, Jian Ni, Raja-Elie E. Abdulnour, et al.. (2020). Novel platform leveraging electronic medical record (EMR) to triage patients admitted with high-grade immune-related adverse events (irAEs) to the immune-toxicity (ITOX) service. Journal for ImmunoTherapy of Cancer. 8(2). e000992–e000992. 9 indexed citations

16.

Jundi, Bakr, Hyunryul Ryu, Do‐Hyun Lee, et al.. (2019). Leukocyte function assessed via serial microlitre sampling of peripheral blood from sepsis patients correlates with disease severity. Nature Biomedical Engineering. 3(12). 961–973. 43 indexed citations

17.

Wallrapp, Antonia, Patrick R. Burkett, Samantha J. Riesenfeld, et al.. (2019). Calcitonin Gene-Related Peptide Negatively Regulates Alarmin-Driven Type 2 Innate Lymphoid Cell Responses. Immunity. 51(4). 709–723.e6. 175 indexed citations

18.

Levy, Bruce D., Raja-Elie E. Abdulnour, Alexander H. Tavares, et al.. (2019). Cysteinyl maresins regulate the prophlogistic lung actions of cysteinyl leukotrienes. Journal of Allergy and Clinical Immunology. 145(1). 335–344. 43 indexed citations

19.

Yan, Chunguang, Ximo Wang, Yanlan Liu, et al.. (2015). Protective Role of Rho Guanosine Diphosphate Dissociation Inhibitor, Ly-GDI, in Pulmonary Alveolitis. PLoS ONE. 10(10). e0140804–e0140804. 1 indexed citations

20.

Krishnamoorthy, Nandini, Patrick R. Burkett, Jesmond Dalli, et al.. (2014). Cutting Edge: Maresin-1 Engages Regulatory T Cells To Limit Type 2 Innate Lymphoid Cell Activation and Promote Resolution of Lung Inflammation. The Journal of Immunology. 194(3). 863–867. 155 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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