Teeranan Pokaprakarn

University of North Carolina at Chapel Hill

MedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study”.

The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study

Diabetes Care(2021)10.2337/dc21-0496

N/A

1.3DataRank · unranked

32 citations

Teeranan Pokaprakarn, G. Rumay Alexander, Tessa Crume, Dana Dabelea, Jasmin Divers +10 more

Design of the Advancing Care for Type 1 Diabetes and Obesity Network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes

Contemporary Clinical Trials(2022)10.1016/j.cct.2022.106765

N/A

0.400DataRank · unranked

9 citations

Daria Igudesman, Ananta Addala, Anna Casu, Jamie Crandell, Michael R. Kosorok +8 more

Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study

Gates Open Research(2022)10.12688/gatesopenres.13716.2

N/A

0DataRank · unranked

2 citations

Mrutyunjaya B. Bellad, AIMEE M. BENSON, Titus Beyuo, Manisha Bhandankar, Umesh Charanthimath +31 more

Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study

Gates Open Research(2022)10.12688/gatesopenres.13716.1

N/A

0DataRank · unranked

1 citations

Mrutunjaya B. Bellad, AIMEE M. BENSON, Titus Beyuo, Manisha Bhandankar, Umesh Charanthimath +31 more

Accuracy of portable ultrasound machines for obstetric biometry

Ultrasound in Obstetrics and Gynecology(2023)10.1002/uog.27541

N/A

0DataRank · unranked

15 citations

Bellington Vwalika, Yuri V. Sebastião, Teeranan Pokaprakarn, Ntazana Sindano, H. Shah +6 more

Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks

UNC Libraries(2024)10.17615/esj1-g558

N/A

0DataRank · unranked

0 citations

Doug Lake, Michael R. Kosorok, Ashok Krishnamurthy, Teeranan Pokaprakarn, Randall Moorman +1 more

Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks

IEEE Journal of Biomedical and Health Informatics(2021)10.1109/jbhi.2021.3098662

N/A

0DataRank · unranked

80 citations

Rebecca Rutherford Kitzmiller, J. Randall Moorman, Doug Lake, Ashok Krishnamurthy, Michael R. Kosorok +1 more

Estimating due date in twin pregnancy by second‐ and third‐trimester ultrasound

Ultrasound in Obstetrics and Gynecology(2025)10.1002/uog.29258

N/A

0DataRank · unranked

1 citations

A. Viswanathan, Teeranan Pokaprakarn, Yuri V. Sebastião, Elizabeth M. Stringer, William Goodnight +2 more

Deep learning to estimate gestational age from blind ultrasound sweeps of the gravid abdomen

medRxiv(2021)10.1101/2021.11.22.21265452

N/A

0DataRank · unranked

1 citations

Juan Carlos Prieto, Joan T. Price, Margaret P. Kasaro, Ntazana Sindano, Hina Shah +15 more