Emily Alsentzer

3.3k total citations · 2 hit papers
22 papers, 1.2k citations indexed

About

Emily Alsentzer is a scholar working on Artificial Intelligence, Health Informatics and Molecular Biology. According to data from OpenAlex, Emily Alsentzer has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Health Informatics and 3 papers in Molecular Biology. Recurrent topics in Emily Alsentzer's work include Machine Learning in Healthcare (6 papers), Topic Modeling (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Emily Alsentzer is often cited by papers focused on Machine Learning in Healthcare (6 papers), Topic Modeling (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Emily Alsentzer collaborates with scholars based in United States, Peru and Canada. Emily Alsentzer's co-authors include Tristan Naumann, Wei‐Hung Weng, Matthew B. A. McDermott, William Boag, John R. Murphy, David W. Bates, Jorge A. Rodriguez, Travis Zack, Leo Anthony Celi and Mirac Süzgün and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Social Science & Medicine.

In The Last Decade

Emily Alsentzer

18 papers receiving 1.1k 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.

Publicly Available Clinical

2019 781 citations Emily Alsentzer, John R. Murphy et al. profile →
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

Countries citing papers authored by Emily Alsentzer

Since Specialization

Citations

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

Fields of papers citing papers by Emily Alsentzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Alsentzer

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Alsentzer. A scholar is included among the top collaborators of Emily Alsentzer 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 Emily Alsentzer. Emily Alsentzer 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

#	Title	Journal	Authors	Indexed citations
1	Synthetic data distillation enables the extraction of clinical information at scale	npj Digital Medicine	Michael C. Burkhart, Emily Alsentzer et al.	1
2	TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	npj Digital Medicine	H. T. Cui, Bowen Chen et al.	0
3	Redefining Bias Audits for Generative AI in Health Care	NEJM AI	Emily Alsentzer et al.	1
4	Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases	npj Digital Medicine	Emily Alsentzer, Michelle M. Li et al.	3
5	MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries	PubMed	Emily Alsentzer, Timothy Keyes et al.	0
6	Patient-Physician Messaging by Race, Ethnicity, Insurance Type, and Preferred Language	JAMA Network Open	Lisa S. Rotenstein, B.E. Hardy et al.	0
7	Leveraging large language models to foster equity in healthcare	Journal of the American Medical Informatics Association	Jorge A. Rodriguez, Emily Alsentzer et al.	16
8	Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study breakdown →	The Lancet Digital Health	Travis Zack, Eric Lehman et al.	222
9	Simulation of undiagnosed patients with novel genetic conditions	Nature Communications	Emily Alsentzer, Samuel G. Finlayson et al.	4
10	Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	The Lancet Digital Health	Brett K. Beaulieu‐Jones, Mauricio F. Villamar et al.	16
11	Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models	npj Digital Medicine	Emily Alsentzer, Brett K. Beaulieu‐Jones et al.	30
12	Mitigating the impact of biased artificial intelligence in emergency decision-making	SHILAP Revista de lepidopterología	Aparna Balagopalan, Emily Alsentzer et al.	38
13	Subgraph Neural Networks	Neural Information Processing Systems	Emily Alsentzer, Samuel G. Finlayson et al.	5
14	Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting	Emerging infectious diseases	Emily Alsentzer, Sarah-Blythe Ballard et al.	1
15	Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting	Emerging infectious diseases	Emily Alsentzer, Sarah-Blythe Ballard et al.	2
16	Publicly Available Clinical breakdown →		Emily Alsentzer, John R. Murphy et al.	781
17	Investigating inequities in hospital care among lesbian, gay, bisexual, and transgender (LGBT) individuals using social media	Social Science & Medicine	Yulin Hswen, Kara Sewalk et al.	20
18	The effect of microbial colonization on the host proteome varies by gastrointestinal location	The ISME Journal	Joshua S. Lichtman, Emily Alsentzer et al.	27
19	Monitoring Acute Diarrhea via an Electronic Surveillance System in the Peruvian Navy	Online Journal of Public Health Informatics	Emily Alsentzer, Sarah-Blythe Ballard et al.	1
20	An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty	Vaccine	Emily Alsentzer, Kathryn M. Edwards et al.	5

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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