ScholarIQanswers from OpenAlex
Foundation for the National Institutes of Health
FunderResearch funding and supported work
Foundation for the National Institutes of Health is a funder indexed in ScholarIQ from OpenAlex.
What is known about Foundation for the National Institutes of Health?
ScholarIQrecord summary
non-profit organization in the USA
How many works does Foundation for the National Institutes of Health have?
ScholarIQindexed works
Foundation for the National Institutes of Health has 23,412 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Foundation for the National Institutes of Health?
ScholarIQopenalex
The OpenAlex for Foundation for the National Institutes of Health is on the source record.
What is the ROR of Foundation for the National Institutes of Health?
ScholarIQror
The ROR for Foundation for the National Institutes of Health is on the source record.
What are the most-cited papers on Foundation for the National Institutes of Health?
ScholarIQmost cited works
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
Stimulant treatment profiles predicting co-occurring substance use disorders in individuals with attention-deficit/hyperactivity disorder
Annabeth P. Groenman, Lizanne Schweren, Wouter D. Weeda, Marjolein Luman, Siri Noordermeer, Dirk J. Heslenfeld, Barbara Franke, Stephen V. Faraone, Nanda Rommelse, Catharina A. Hartman, Pieter J. Hoekstra, Jan K. Buitelaar, Jaap Oosterlaan
High incidence of proliferative and membranous nephritis in SLE patients with low proteinuria in the Accelerating Medicines Partnership
Philip M. Carlucci, Jessica Li, Andrea Fava, Kristina Deonaraine, David Wofsy, Judith A. James, Chaim Putterman, Betty Diamond, Anne Davidson, Derek M. Fine, Jose M. Monroy‐Trujillo, Mohamed G. Atta, Wade DeJager, Joel M. Guthridge, Kristin Haag, Deepak A. Rao, Michael B Brenner, James A. Lederer, William Apruzzese, H. Michael Belmont, Peter Izmirly, Devyn Zaminski, Ming Wu, Sean Connery, Fernanda Payan‐Schober, Richard Furie, Maria Dall’Era, Kerry Cho, Diane L. Kamen, Kenneth Kalunian, Jennifer H. Anolik, Jennifer L. Barnas, Mariko Ishimori, Michael H. Weisman, the Accelerating Medicines Partnership (AMP) RA/SLE Network, J. Le Goff, Patrick Dunn, Soumya Raychaudhuri, Fan Zhang, Ilya Korsunsky, Aparna Nathan, Joseph Mears, Kazuyoshi Ishigaki, Qian Xiao, Nghia Millard, Kathryn Weinand, Saori Sakaue, Paul J. Utz, Rong Mao, Bill Robinson, Holden T. Maecker, Susan Macwana, S. Louis Bridges, Vivian P. Bykerk, Laura T. Donlin, Susan M. Goodman, Edward F. DiCarlo, Melanie Smith, Amit Lakhanpal, Heather L. Sherman, Anvita Singaraju, Lorien Shakib, Christopher T. Ritchlin, Brendan F. Boyce, Darren Tabechian, Andrew McDavid, Javier Rangel‐Moreno, Nida Meednu, Jen Albrecht, Kevin Wei, A. Helena Jonsson, Daimon P. Simmons, Gregory Keras, Joshua Keegan, Gerald F. Watts, Yuhong Li Zhu, Adam Chicoine, Zhihan Jian Li, Ellen M. Gravallese, Kaitlyn Howard, Mandy J. McGeachy, Gary S. Firestein, David L. Boyle, Arnold Ceponis, Peter K. Gregersen, Diane Horowitz, Harris Perlman, Salina Dominguez, Carla M. Cuda, Arthur M Mandolin, Anjali Thakrar, Joan M. Bathon, Laura Hughes, V. Michael Holers, Jennifer Seifert, Kevin D. Deane, Larry W. Moreland, Andrew Filer, Karim Raza, Ilfita Sahbudin
Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery
Chaitanya S. Kulkarni, Shiyu Deng, Tianzi Wang, Jacob Hartman‐Kenzler, Laura E. Barnes, Sarah Parker, Shawn D. Safford, Nathan Lau