ScholarIQanswers from OpenAlex & ORCID
David Geldmacher
ResearcherPublications, citations & collaboration network
David Geldmacher is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does David Geldmacher have?
ScholarIQindexed works
David Geldmacher has 282 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does David Geldmacher have?
ScholarIQcitation count
David Geldmacher has 15,195 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of David Geldmacher?
ScholarIQh-index
David Geldmacher has an h-index of 56 in OpenAlex.
What is the i10-index of David Geldmacher?
ScholarIQi10-index
David Geldmacher has an i10-index of 146 in OpenAlex.
What is the ORCID of David Geldmacher?
ScholarIQorcid
The ORCID for David Geldmacher is on the source record.
What is the OpenAlex record for David Geldmacher?
ScholarIQopenalex
The OpenAlex for David Geldmacher is on the source record.
What are the most-cited papers on David Geldmacher?
ScholarIQmost cited works
Development of Cognitive Instruments for Use in Clinical Trials of Antidementia Drugs
Richard C. Mohs, David S. Knopman, Ronald C. Petersen, Steven H. Ferris, Chris Ernesto, Michael Grundman, Mary Sano, Linas A. Bieliauskas, David Geldmacher, Chris M. Clark, Leon J. Thal
DNA Replication Precedes Neuronal Cell Death in Alzheimer's Disease
Yanxu Yang, David Geldmacher, Karl Herrup
Ectopic Cell Cycle Proteins Predict the Sites of Neuronal Cell Death in Alzheimer’s Disease Brain
Jonathan C. Busser, David Geldmacher, Karl Herrup
Development of cognitive instruments for use in clinical trials of antidementia drugs: additions to the Alzheimer's Disease Assessment Scale that broaden its scope. The Alzheimer's Disease Cooperative Study.
Richard C. Mohs, David S. Knopman, R. Petersen, Steven H. Ferris, Christopher Ernesto, Michael Grundman, Mary Sano, Linas A. Bieliauskas, David Geldmacher, Camilla N. Clark, L. J. Thal
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Garam Lee, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, Dokyoon Kim, for Alzheimer’s Disease Neuroimaging Initiative, Michael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Leslie M. Shaw, Zaven S. Khachaturian, Greg Sorensen, María C. Carrillo, Lew Kuller, Marc Raichle, Steven M. Paul, Peter J. Davies, Howard Fillit, Franz Hefti, Davie Holtzman, Marek-Marsel Mesulam, William Z. Potter, Peter J. Snyder, Tom Montine, Ronald G. Thomas, Michael Donohue, Sarah Walter, Tamie Sather, Gus Jiminez, Archana B. Balasubramanian, Jennifer Mason, Iris Sim, Danielle Harvey, Matt A. Bernstein, Nick C. Fox, Paul M. Thompson, Norbert Schuff, Charles DeCarli, Bret Borowski, Jeff Gunter, Matthew L. Senjem, Prashanthi Vemuri, David Jones, Kejal Kantarci, Chad Ward, Robert A. Koeppe, Norm Foster, Eric M. Reiman, Kewei Chen, Chet Mathis, Susan Landau, Nigel J. Cairns, Erin Householder, Lisa Taylor‐Reinwald, Virginia Lee, Magdalena Korecka, Michal Figurski, Karen Crawford, Scott Neu, Tatiana M. Foroud, Steven Potkin, Li Shen, Kelley Faber, Sungeun Kim, Lean Tha, Richard Frank, John Hsiao, Jeffrey Kaye, Joseph F. Quinn, Lisa C. Silbert, Betty Lind, Raina Carter, Sara Dolen, Beau M. Ances, Maria Carroll, Mary L. Creech, Erin Franklin, Mark A. Mintun, Stacy Schneider, Angela Oliver, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan M. Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Daniel Marson, Randall Griffith, David Clark, David Geldmacher