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National Center for Advancing Translational Sciences

FunderResearch funding and supported work

National Center for Advancing Translational Sciences is a funder indexed in ScholarIQ from OpenAlex.

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National Center for Advancing Translational Sciences has 165,658 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

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What are the most-cited papers on National Center for Advancing Translational Sciences?

ScholarIQmost cited works
Development and Validation of the American Heart Association’s PREVENT Equations
Sadiya S. Khan, Kunihiro Matsushita, Yingying Sang, Shoshana H. Ballew, Morgan E. Grams, Aditya Surapaneni, Michael J. Blaha, April P. Carson, Alex R. Chang, Elizabeth L. Ciemins, Alan S. Go, Orlando M. Gutiérrez, Shih‐Jen Hwang, Simerjot K Jassal, Csaba P. Kövesdy, Donald M. Lloyd‐Jones, Michael G. Shlipak, Latha Palaniappan, Laurence Sperling, Salim S. Virani, Katherine R. Tuttle, Ian J. Neeland, Sheryl L. Chow, Janani Rangaswami, Michael Pencina, Chiadi E. Ndumele, Josef Coresh
Circulation. 20231,038 CitationsOPEN ACCESS
The frequency and outcome of lupus nephritis: results from an international inception cohort study
John G. Hanly, Aidan G. O’Keeffe, Li Su, Murray B. Urowitz, Juanita Romero‐Díaz, Caroline Gordon, Sang‐Cheol Bae, Sasha Bernatsky, Ann E. Clarke, Daniel J. Wallace, Joan T. Merrill, David Isenberg, Anisur Rahman, Ellen M. Ginzler, Paul R. Fortin, Dafna D. Gladman, Jorge Sánchez‐Guerrero, Michelle Petri, Ian N Bruce, Mary Anne Dooley, Rosalind Ramsey‐Goldman, Cynthia Aranow, Graciela S. Alarcón, Barri J. Fessler, Kristján Steinsson, Ola Nived, Gunnar Sturfelt, Susan Manzi, Munther A. Khamashta, Ronald van Vollenhoven, Asad Zoma, Manuel Ramos‐Casals, Guillermo Ruiz‐Irastorza, S. Sam Lim, Thomas Stoll, Murat İnanç, Kenneth Kalunian, Diane L. Kamen, Peter J. Maddison, Christine Peschken, Søren Jacobsen, Anca Askanase, Chris Theriault, Kara Thompson, Vernon T. Farewell
Lara D. Veeken. 2015640 CitationsOPEN ACCESS
Concurrent RB1 and TP53 Alterations Define a Subset of EGFR-Mutant Lung Cancers at risk for Histologic Transformation and Inferior Clinical Outcomes
Michael Offin, Joseph M. Chan, Megan Tenet, Hira Rizvi, Ronglai Shen, Gregory J. Riely, Natasha Rekhtman, Yahya Daneshbod, Àlvaro Quintanal-Villalonga, Alexander Penson, Matthew D. Hellmann, Maria E. Arcila, Marc Ladanyi, Dana Pe’er, Mark G. Kris, Charles M. Rudin, Helena A. Yu
Journal of Thoracic Oncology. 2019458 CitationsOPEN ACCESS
Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*
Jennifer C. Ginestra, H.M. Giannini, William D. Schweickert, L. Meadows, Michael J. Lynch, Kimberly Pavan, Corey Chivers, Michael Draugelis, Patrick J. Donnelly, Barry D. Fuchs, Craig A. Umscheid
Critical Care Medicine. 2019163 CitationsOPEN ACCESS
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