Kristyn Beam

523 total citations
23 papers, 336 citations indexed

About

Kristyn Beam is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Kristyn Beam has authored 23 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 8 papers in Pediatrics, Perinatology and Child Health and 6 papers in Surgery. Recurrent topics in Kristyn Beam's work include Neonatal Respiratory Health Research (10 papers), Congenital Heart Disease Studies (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Kristyn Beam is often cited by papers focused on Neonatal Respiratory Health Research (10 papers), Congenital Heart Disease Studies (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Kristyn Beam collaborates with scholars based in United States, Germany and Canada. Kristyn Beam's co-authors include Andrew L. Beam, P. Brian Smith, Matthew M. Laughon, Shawn K. Ahlfeld, Sofia Aliaga, Michael Cohen‐Wolkowiez, Puneet Sharma, Philip T. Levy, Christiane E.L. Dammann and Olaf Dammann and has published in prestigious journals such as The Journal of Pediatrics, Pediatric Research and The Pediatric Infectious Disease Journal.

In The Last Decade

Kristyn Beam

19 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristyn Beam United States 11 156 91 90 58 51 23 336
Lukáš Hruban Czechia 7 165 1.1× 329 3.6× 33 0.4× 112 1.9× 6 0.1× 30 485
B. Kemp United Kingdom 9 35 0.2× 222 2.4× 20 0.2× 113 1.9× 21 0.4× 35 356
Joshua Guedalia Israel 9 32 0.2× 141 1.5× 32 0.4× 150 2.6× 23 0.5× 31 254
Nathan M. Pajor United States 8 84 0.5× 14 0.2× 84 0.9× 42 0.7× 9 0.2× 20 360
Christina Wilson United States 10 70 0.4× 49 0.5× 146 1.6× 21 0.4× 4 0.1× 37 450
Olivier Fléchelles Martinique 8 101 0.6× 27 0.3× 94 1.0× 40 0.7× 1 0.0× 26 294
Tiffany S. Glasgow United States 9 118 0.8× 175 1.9× 28 0.3× 23 0.4× 15 443
Svetlana Ostapenko United States 6 35 0.2× 57 0.6× 28 0.3× 5 0.1× 19 0.4× 10 235
Alessandra De Palma Italy 10 32 0.2× 22 0.2× 348 3.9× 23 0.4× 6 0.1× 24 684
Gangaram Akangire United States 9 138 0.9× 72 0.8× 94 1.0× 10 0.2× 1 0.0× 21 308

Countries citing papers authored by Kristyn Beam

Since Specialization
Citations

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

Fields of papers citing papers by Kristyn Beam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristyn Beam

This figure shows the co-authorship network connecting the top 25 collaborators of Kristyn Beam. A scholar is included among the top collaborators of Kristyn Beam 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 Kristyn Beam. Kristyn Beam 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.
Arora, Tanima, et al.. (2025). Preserving medical ethics in the era of artificial intelligence: Challenges and opportunities in neonatology. Seminars in Perinatology. 49(6). 152100–152100.
2.
Sharma, Puneet, Anil Palepu, Cindy Wang, et al.. (2025). Development and Validation of a Novel Deep Learning Model to Predict Pharmacologic Closure of Patent Ductus Arteriosus in Premature Infants. Journal of the American Society of Echocardiography. 38(7). 624–632.
3.
Sharma, Puneet, et al.. (2025). NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs. npj Digital Medicine. 8(1). 570–570. 2 indexed citations
4.
Barry, James S., Kristyn Beam, & Ryan M. McAdams. (2025). Artificial intelligence in pediatric medicine: a call for rigorous reporting standards. Journal of Perinatology. 45(8). 1031–1033.
5.
Sharma, Puneet, Cindy Wang, Dara Brodsky, et al.. (2024). Assessment of the clinical knowledge of ChatGPT-4 in neonatal-perinatal medicine: a comparative analysis with ChatGPT-3.5. Journal of Perinatology. 44(9). 1365–1366. 5 indexed citations
6.
Sharma, Puneet, et al.. (2024). Perinatal Factors Associated with Successful Pharmacologic Closure of the Patent Ductus Arteriosus in Premature Infants. Pediatric Cardiology. 46(7). 2124–2132. 2 indexed citations
7.
Sullivan, Brynne A., James S. Barry, Kristyn Beam, et al.. (2024). AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance. Pediatric Research. 98(2). 412–422. 5 indexed citations
8.
Sullivan, Brynne A., Kristyn Beam, Zachary A. Vesoulis, et al.. (2023). Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities. Journal of Perinatology. 44(1). 1–11. 29 indexed citations
9.
Natarajan, Annamalai, et al.. (2023). Prediction of extubation failure among low birthweight neonates using machine learning. Journal of Perinatology. 43(2). 209–214. 10 indexed citations
10.
Beam, Kristyn, Puneet Sharma, Philip T. Levy, & Andrew L. Beam. (2023). Artificial intelligence in the neonatal intensive care unit: the time is now. Journal of Perinatology. 44(1). 131–135. 24 indexed citations
11.
Dahlberg, Suzanne E., et al.. (2023). Health-Related Qualities of Life in School-Aged Children with Bronchopulmonary Dysplasia. The Journal of Pediatrics. 261. 113548–113548. 5 indexed citations
12.
13.
Barrero‐Castillero, Alejandra, Kristyn Beam, Erika G. Cordova-Ramos, et al.. (2020). COVID-19: neonatal–perinatal perspectives. Journal of Perinatology. 41(5). 940–951. 63 indexed citations
14.
Beam, Kristyn, Monica H. Wojcik, Pankaj B. Agrawal, C. Jason Smithers, & Judy A. Estroff. (2020). Prenatal Diagnosis of a Ventral Abdominal Wall Defect. NeoReviews. 21(4). e286–e292.
15.
Beam, Kristyn, et al.. (2019). Computerized Physician Order Entry in the Neonatal Intensive Care Unit: A Narrative Review. Applied Clinical Informatics. 10(3). 487–494. 11 indexed citations
16.
Logan, J. Wells, Olaf Dammann, Elizabeth N. Allred, et al.. (2017). Early postnatal illness severity scores predict neurodevelopmental impairments at 10 years of age in children born extremely preterm. Journal of Perinatology. 37(5). 606–614. 19 indexed citations
17.
Beam, Kristyn, et al.. (2017). Examining Perceptions of Computerized Physician Order Entry in a Neonatal Intensive Care Unit. Applied Clinical Informatics. 8(2). 337–347. 11 indexed citations
18.
Beam, Kristyn, Sofia Aliaga, Shawn K. Ahlfeld, et al.. (2014). A systematic review of randomized controlled trials for the prevention of bronchopulmonary dysplasia in infants. Journal of Perinatology. 34(9). 705–710. 74 indexed citations
19.
Beam, Kristyn, Matthew M. Laughon, Christoph P. Hornik, et al.. (2014). Predictors of Positive Cerebrospinal Fluid Cultures in Infants With Bacteremia. The Pediatric Infectious Disease Journal. 33(4). 360–365. 4 indexed citations
20.
Dubey, J. P., Barbara C. Lewis, Kristyn Beam, & Bruce Abbitt. (2002). Transplacental toxoplasmosis in a reindeer (Rangifer tarandus) fetus. Veterinary Parasitology. 110(1-2). 131–135. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lukáš Hruban Breakdown of academic impact, for papers by B. Kemp Breakdown of academic impact, for papers by Joshua Guedalia Breakdown of academic impact, for papers by Nathan M. Pajor Breakdown of academic impact, for papers by Christina Wilson Breakdown of academic impact, for papers by Olivier Fléchelles Breakdown of academic impact, for papers by Tiffany S. Glasgow Breakdown of academic impact, for papers by Svetlana Ostapenko Breakdown of academic impact, for papers by Alessandra De Palma Breakdown of academic impact, for papers by Gangaram Akangire
Rankless by CCL
2026