ScholarIQanswers from OpenAlex & ORCID
Michael A. Vogelbaum
ResearcherPublications, citations & collaboration network
Michael A. Vogelbaum is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does Michael A. Vogelbaum have?
ScholarIQindexed works
Michael A. Vogelbaum has 554 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Michael A. Vogelbaum have?
ScholarIQcitation count
Michael A. Vogelbaum has 30,322 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of Michael A. Vogelbaum?
ScholarIQh-index
Michael A. Vogelbaum has an h-index of 80 in OpenAlex.
What is the i10-index of Michael A. Vogelbaum?
ScholarIQi10-index
Michael A. Vogelbaum has an i10-index of 235 in OpenAlex.
What is the ORCID of Michael A. Vogelbaum?
ScholarIQorcid
The ORCID for Michael A. Vogelbaum is on the source record.
What is the OpenAlex record for Michael A. Vogelbaum?
ScholarIQopenalex
The OpenAlex for Michael A. Vogelbaum is on the source record.
What are the most-cited papers on Michael A. Vogelbaum?
ScholarIQmost cited works
A Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Mark R. Gilbert, James J. Dignam, Terri S. Armstrong, Jeffrey S. Wefel, Deborah T. Blumenthal, Michael A. Vogelbaum, Howard Colman, Arnab Chakravarti, Stephanie L. Pugh, Minhee Won, Robert Jeraj, Paul D. Brown, Kurt A. Jaeckle, David Schiff, Volker W. Stieber, David Brachman, Maria Werner‐Wasik, Ivo W. Tremont‐Lukats, Erik P. Sulman, Kenneth Aldape, Walter J. Curran, Minesh P. Mehta
Phase III randomized trial of CED of IL13-PE38QQR vs Gliadel wafers for recurrent glioblastoma
Sushma Kunwar, Susan M. Chang, Manfred Westphal, Michael A. Vogelbaum, John H. Sampson, Gene H. Barnett, Mark E. Shaffrey, Zvi Ram, J Piepmeier, Michael D. Prados, David Croteau, Christoph Pedain, Pamela Leland, Syed R. Husain, Bharat Joshi, Raj K. Puri, for the PRECISE Study Group
Residual tumor volume versus extent of resection: predictors of survival after surgery for glioblastoma
Matthew M. Grabowski, Pablo F. Recinos, Amy S. Nowacki, Jason Schroeder, Lilyana Angelov, Gene H. Barnett, Michael A. Vogelbaum
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina, Patrick Foley, А. Д. Груздев, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Felix Sahm, Klaus Maier‐Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier Villanueva‐Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph S. Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel S. Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz