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About the database ScholarIQanswers from OpenAlex & ORCID
How has Felix Richter's publication output changed over time?
ScholarIQpublication output · 2019–2025
Output grew0% over the shown period — from 1 works in 2019 to 1 in 2025.
1
8
1
1
2019202020212025
What are the most-cited papers on Felix Richter?
ScholarIQmost cited works
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
Anuradha Lala, Kipp W. Johnson, James L. Januzzi, Adam Russak, Ishan Paranjpe, Felix Richter, Shan Zhao, Sulaiman Somani, Tielman Van Vleck, Akhil Vaid, Fayzan Chaudhry, Jessica K. De Freitas, Zahi A. Fayad, Sean Pinney, Matthew A. Levin, Alexander W. Charney, Emilia Bagiella, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni, Donna Mancini, Valentı́n Fuster
Journal of the American College of Cardiology. 2020750 CitationsOPEN ACCESS
SARS-CoV-2 viral load predicts COVID-19 mortality
Elisabet Pujadas, Fayzan Chaudhry, Russell B. McBride, Felix Richter, Shan Zhao, Ania Wajnberg, Girish N. Nadkarni, Benjamin S. Glicksberg, Jane Houldsworth, Carlos Cordon‐Cardo
The Lancet Respiratory Medicine. 2020567 CitationsOPEN ACCESS
Deep learning and the electrocardiogram: review of the current state-of-the-art
Sulaiman Somani, Adam Russak, Felix Richter, Shan Zhao, Akhil Vaid, Fayzan Chaudhry, Jessica K. De Freitas, Nidhi Naik, Riccardo Miotto, Girish N. Nadkarni, Jagat Narula, Edgar Argulian, Benjamin S. Glicksberg
S46732370. 2020259 CitationsOPEN ACCESS
Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City
Keith Sigel, Talia H. Swartz, Eddye Golden, Ishan Paranjpe, Sulaiman Somani, Felix Richter, Jessica K. De Freitas, Riccardo Miotto, Shan Zhao, Paz Polak, Tinaye Mutetwa, Stephanie H. Factor, Saurabh Mehandru, Michael P. Mullen, Francesca Cossarini, Erwin P. Böttinger, Zahi A. Fayad, Miriam Mérad, Sacha Gnjatic, Judith A. Aberg, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg
S72350973. 2020244 CitationsOPEN ACCESS
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Akhil Vaid, Sulaiman Somani, Adam Russak, Jessica K. De Freitas, Fayzan Chaudhry, Ishan Paranjpe, Kipp W. Johnson, Samuel Lee, Riccardo Miotto, Felix Richter, Shan Zhao, Noam D. Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish Paranjpe, Eddye Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F. O’Reilly, Laura M. Huckins, Patricia Kovatch, Joseph Finkelstein, Robert Freeman, Edgar Argulian, Andrew Kasarskis, Bethany Percha, Judith A. Aberg, Emilia Bagiella, Carol R. Horowitz, Barbara Murphy, Eric J. Nestler, Eric E. Schadt, Judy H. Cho, Carlos Cordon‐Cardo, Valentı́n Fuster, Dennis S. Charney, David L. Reich, Erwin P. Böttinger, Matthew A. Levin, Jagat Narula, Zahi A. Fayad, Allan C. Just, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg
Journal of Medical Internet Research. 2020240 CitationsOPEN ACCESS
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Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
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Deep learning and the electrocardiogram: review of the current state-of-the-art
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Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
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