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About the database ScholarIQanswers from OpenAlex & ORCID
How has Páll Jónsson's publication output changed over time?
ScholarIQpublication output · 2006–2022
Output grew100% over the shown period — from 2 works in 2006 to 4 in 2022.
2
1
3
1
4
20062017202020212022
What are the most-cited papers on Páll Jónsson?
ScholarIQmost cited works
Global topological features of cancer proteins in the human interactome
Páll Jónsson, Paul A. Bates
S52395412. 2006501 CitationsOPEN ACCESS
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner, Franz J. Király, Rayid Ghani, Páll Jónsson, Sarah Cumbers, Adrian Jonas, Katherine McAllister, Puja Myles, David Grainger, Mark Birse, Richard D. Branson, Karel G.M. Moons, Professor Gary S. Collins, John P. A. Ioannidis, Chris Holmes, Harry Hemingway
BMJ. 2020484 CitationsOPEN ACCESS
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis
Páll Jónsson, Tamara Cavanna, Daniel Zicha, Paul A. Bates
S19032547. 2006180 CitationsOPEN ACCESS
Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing—Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative
Lucinda Orsini, Marc L. Berger, William H. Crown, Gregory W. Daniel, Hans‐Georg Eichler, Wim Goettsch, Jennifer S. Graff, John Guerino, Páll Jónsson, Nirosha Mahendraratnam Lederer, Brigitta U. Monz, C. Daniel Mullins, Sebastian Schneeweiß, David Van Brunt, Shirley Wang, Richard J. Willke
Value in Health. 2020129 CitationsOPEN ACCESS
Reproducibility of real-world evidence studies using clinical practice data to inform regulatory and coverage decisions
Shirley Wang, Sushama Kattinakere Sreedhara, Sebastian Schneeweiß, REPEAT Initiative, Jessica M. Franklin, Joshua J. Gagne, Krista F. Huybrechts, Elisabetta Patorno, Yinzhu Jin, Moa Lee, Mufaddal Mahesri, Ajinkya Pawar, Julie Barberio, Lily G. Bessette, Kristyn Chin, Nileesa Gautam, Adrian Santiago Ortiz, Ellen Sears, Kristina Stefanini, Mimi Zakarian, Sara Z. Dejene, James R. Rogers, Gregory Brill, Joan Landon, Joyce Lii, Theodore Tsacogianis, Seanna Vine, Elizabeth M. Garry, Liza R. Gibbs, Monica Gierada, Danielle L. Isaman, Emma Payne, Sarah Alwardt, Peter Arlett, Dorothee B. Bartels, Andrew Bate, Jesse A. Berlin, Alison Bourke, Brian D. Bradbury, Jeffrey S. Brown, K.L. Burnett, Troyen A. Brennan, K. Arnold Chan, Nam‐Kyong Choi, Frank de Vries, Hans‐Georg Eichler, Kristian B. Filion, Lisa Freeman, Jesper Hallas, Laura E. Happe, Sean Hennessy, Páll Jónsson, John P. A. Ioannidis, Javier Jiménez, Kristijan H. Kahler, Christine Laine, Elizabeth Loder, Amr Makady, David Martin, Michael Nguyen, Brian A. Nosek, Richard Platt, Robert W. Platt, John D. Seeger, William H. Shrank, Liam Smeeth, Henrik Toft Sørensen, Peter Tugwell, Yoshiaki Uyama, Richard J. Willke, Wolfgang C. Winkelmayer, Deborah A. Zarin
Nature Communications. 2022114 CitationsOPEN ACCESS
Related on ScholarIQ
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Global topological features of cancer proteins in the human interactome
Paper
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
Paper
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis
Paper
Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing—Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative
Paper
Reproducibility of real-world evidence studies using clinical practice data to inform regulatory and coverage decisions
Paper