ScholarIQanswers from OpenAlex
Universitätsklinikum Aachen
InstitutionResearch output, impact & collaborations
Universitätsklinikum Aachen is a institution indexed in ScholarIQ from OpenAlex.
What is known about Universitätsklinikum Aachen?
ScholarIQrecord summary
Universitätsklinikum Aachen is a research organisation in Aachen, DE. OpenAlex records 22,121 works and 1,271,734 citations for it. 4,667 researchers list it as their most recent affiliation.
How many works does Universitätsklinikum Aachen have?
ScholarIQindexed works
Universitätsklinikum Aachen has 22,121 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Universitätsklinikum Aachen have?
ScholarIQcitation count
Universitätsklinikum Aachen has 1,271,734 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Universitätsklinikum Aachen?
ScholarIQresearcher count
Universitätsklinikum Aachen has 4,667 researchers in the ScholarIQ index.
What is the average h-index at Universitätsklinikum Aachen?
ScholarIQavg h-index
Universitätsklinikum Aachen has an average h-index of 52.8 in OpenAlex.
What is the ROR of Universitätsklinikum Aachen?
ScholarIQror
The ROR for Universitätsklinikum Aachen is on the source record.
What is the OpenAlex record for Universitätsklinikum Aachen?
ScholarIQopenalex
The OpenAlex for Universitätsklinikum Aachen is on the source record.
Who are the most-cited researchers behind Universitätsklinikum Aachen?
ScholarIQtop researchers by citations
What are the most-cited papers on Universitätsklinikum Aachen?
ScholarIQmost cited works
Intensive Insulin Therapy and Pentastarch Resuscitation in Severe Sepsis
Frank M. Brunkhorst, Christoph Engel, Frank Bloos, Andreas Meier‐Hellmann, Max Ragaller, Norbert Weiler, Onnen Moerer, Matthias Gruendling, Michael Oppert, Stefan Grond, D Olthoff, Ulrich Jaschinski, Stefan John, Rolf Rossaint, Tobias Welte, Martin Schaefer, Peter Kern, Evelyn Kuhnt, Michael Kiehntopf, Christiane S. Hartog, Charles Natanson, Markus Loeffler, Konrad Reinhart
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Jakob Nikolas Kather, Alexander T. Pearson, Niels Halama, Dirk Jäger, Jeremias Krause, Sven H. Loosen, Alexander Marx, Peter Boor, Frank Tacke, Ulf P. Neumann, Heike I. Grabsch, Takaki Yoshikawa, Hermann Brenner, Jenny Chang‐Claude, Michael Hoffmeister, Christian Trautwein, Tom Luedde
Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury
Kianoush Kashani, Ali Al‐Khafaji, Thomas Ardiles, Antonio Artigas, Sean M. Bagshaw, Max Bell, Azra Bihorac, Robert Birkhahn, Cynthia Cely, Lakhmir S. Chawla, Danielle Davison, Thorsten Feldkamp, Lui G. Forni, Michelle N. Gong, Kyle J. Gunnerson, Michael Haase, James Hackett, Patrick M. Honoré, Eric A. J. Hoste, Olivier Joannès-Boyau, Michael Joannidis, Patrick Kim, Jay L. Koyner, Daniel T. Laskowitz, Matthew Lissauer, Gernot Marx, Peter A. McCullough, Scott Mullaney, Marlies Ostermann, Thomas Rimmelé, Nathan I. Shapiro, Andrew D Shaw, Jing Shi, Amy Sprague, Jean‐Louis Vincent, Christophe Vinsonneau, Ludwig Wagner, Michael G. Walker, R. Gentry Wilkerson, Kai Zacharowski, John A. Kellum
Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study
Christian Karagiannidis, Carina Mostert, Corinna Hentschker, Thomas Voshaar, Jürgen Malzahn, Gerhard Schillinger, Jürgen Klauber, Uwe Janssens, Gernot Marx, Steffen Weber‐Carstens, Stefan Kluge, Michael Pfeifer, Linus Grabenhenrich, Tobias Welte, Reinhard Busse
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, Ravi Sarveswara, Kristian Händler, Peter Pickkers, N. Ahmad Aziz, Sofia Ira Ktena, Florian Tran, Michael Bitzer, Stephan Ossowski, Nicolas Casadei, Christian Herr, Daniel Petersheim, Uta Behrends, Fabian Kern, Tobias Fehlmann, Philipp Schommers, Clara Lehmann, Max Augustin, Jan Rybniker, Janine Altmüller, Neha Mishra, Joana P. Bernardes, Benjamin Krämer, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Elena De Domenico, Christian Siever, Michael Kraut, Milind Y. Desai, Bruno Monnet, Maria Saridaki, Charles Siegel, Anna Drews, Melanie Nuesch-Germano, Heidi Theis, Jan Heyckendorf, Stefan Schreiber, Sarah Kim-Hellmuth, COVID-19 Aachen Study (COVAS), Paul Balfanz, Thomas Eggermann, Peter Boor, Ralf Hausmann, Hannah Kuhn, Susanne Isfort, Julia Stingl, Günther Schmalzing, Christiane Kühl, Rainer Röhrig, Gernot Marx, Stefan Uhlig, Edgar Dahl, Dirk Müller‐Wieland, Michael Dreher, Nikolaus Marx, Jacob Nattermann, Dirk Skowasch, Ingo Kurth, Andreas Keller, Robert Bals, Peter Nürnberg, Olaf Rieß, Philip Rosenstiel, Mihai G. Netea, Fabian J. Theis, Sach Mukherjee, Michael Backes, Anna C. Aschenbrenner, Thomas Ulas, Deutsche COVID-19 Omics Initiative (DeCOI), Angel Angelov, Alexander Bartholomäus, Anke Becker, Daniela Bezdan, Conny Blumert, Ezio Bonifacio, Peer Bork, Boyke Bunk, Helmut Blum, Thomas Clavel, Maria Colomé‐Tatché, Markus Cornberg, Inti Alberto De La Rosa Velázquez, Andreas Diefenbach, Alexander Dilthey, Nicole Fischer, Konrad U. Förstner, Sören Franzenburg, Julia-Stefanie Frick, Gisela Gabernet, Julien Gagneur, Tina Ganzenmueller, Marie Gauder, Janina Geißert, Alexander Goesmann
How much of the research on Universitätsklinikum Aachen is open access?
ScholarIQopen access share
83%OPEN ACCESS