Stephanie Teeple

15.4k total citations · 1 hit paper
9 papers, 524 citations indexed

About

Stephanie Teeple is a scholar working on General Health Professions, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Stephanie Teeple has authored 9 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Oncology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Stephanie Teeple's work include Global Cancer Incidence and Screening (3 papers), Healthcare Policy and Management (2 papers) and Emergency and Acute Care Studies (2 papers). Stephanie Teeple is often cited by papers focused on Global Cancer Incidence and Screening (3 papers), Healthcare Policy and Management (2 papers) and Emergency and Acute Care Studies (2 papers). Stephanie Teeple collaborates with scholars based in United States, Rwanda and Spain. Stephanie Teeple's co-authors include Ravi B. Parikh, Amol S. Navathe, Nicholas J Kassebaum, Bolajoko O. Olusanya, Shreya Kangovi, Ann C. Miller, Julia Carney, François Uwinkindi, Whitney Orji and Scott D. Halpern and has published in prestigious journals such as JAMA, PEDIATRICS and BMJ Quality & Safety.

In The Last Decade

Stephanie Teeple

8 papers receiving 504 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.

Addressing Bias in Artificial Intelligence in Health Care

2019 410 citations Ravi B. Parikh, Stephanie Teeple et al. JAMA profile →

Peers

Stephanie Teeple

HI

AI

RNMI

PPCH

PHEOH

Supawadee Suppadungsuk Thailand

Mjaye Mazwi Canada

Jenny Krutzinna Norway

Marshall Nichols United States

Vyas Kumar Rathaur India

Stan Benjamens Netherlands

Paola Daniore Switzerland

Mohammed Saeed United Kingdom

Marie‐Laure Charpignon United States

Melissa D. McCradden Canada

Supawadee Suppadungsuk Thailand

Stephanie Teeple

290 ×1.3

HI

194 ×1.4

AI

85 ×0.8

RNMI

19 ×0.2

PPCH

59 ×0.7

PHEOH

Citations per year, relative to Stephanie Teeple Stephanie Teeple (= 1×) peers Supawadee Suppadungsuk

Countries citing papers authored by Stephanie Teeple

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie Teeple

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Teeple

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Teeple, Stephanie, Caroline Andy, William L. Schpero, & Paula Chatterjee. (2025). What explains the growth in hospital assets from 2000 through 2019? A decomposition analysis. Health Affairs Scholar. 3(2). qxaf004–qxaf004.

2.

Teeple, Stephanie, Matthew Toerper, Scott Levin, et al.. (2023). Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage. JAMIA Open. 6(4). ooad107–ooad107. 2 indexed citations

3.

Teeple, Stephanie, Corey Chivers, Kristin A. Linn, et al.. (2023). Evaluating equity in performance of an electronic health record-based 6-month mortality risk model to trigger palliative care consultation: a retrospective model validation analysis. BMJ Quality & Safety. 32(9). 503–516. 3 indexed citations

4.

Weissman, Gary E., Stephanie Teeple, Nwamaka D. Eneanya, Rebecca A. Hubbard, & Shreya Kangovi. (2021). Effects of Neighborhood-level Data on Performance and Algorithmic Equity of a Model That Predicts 30-day Heart Failure Readmissions at an Urban Academic Medical Center. Journal of Cardiac Failure. 27(9). 965–973. 4 indexed citations

5.

Nguyen, Cam, Paul H. Park, Tharcisse Mpunga, et al.. (2020). Factors Associated with Loss to Follow-up among Cervical Cancer Patients in Rwanda. Annals of Global Health. 86(1). 117–117. 11 indexed citations

6.

Hu, Lily, et al.. (2020). Manifesting the sociotechnical. 693–693. 2 indexed citations

7.

Carney, Julia, Elle Lett, Whitney Orji, et al.. (2019). Recognizing Racism in Medicine: A Student-Organized and Community-Engaged Health Professional Conference. Health Equity. 3(1). 395–402. 10 indexed citations

8.

Parikh, Ravi B., Stephanie Teeple, & Amol S. Navathe. (2019). Addressing Bias in Artificial Intelligence in Health Care. JAMA. 322(24). 2377–2377. 410 indexed citations breakdown →

9.

Olusanya, Bolajoko O., Stephanie Teeple, & Nicholas J Kassebaum. (2018). The Contribution of Neonatal Jaundice to Global Child Mortality: Findings From the GBD 2016 Study. PEDIATRICS. 141(2). 82 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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