Michael S. Unger

33 total papers · 2.2k total citations
22 papers, 812 citations indexed

About

Michael S. Unger is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael S. Unger has authored 22 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 11 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael S. Unger's work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (10 papers) and Nuclear Receptors and Signaling (4 papers). Michael S. Unger is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (10 papers) and Nuclear Receptors and Signaling (4 papers). Michael S. Unger collaborates with scholars based in Austria, Germany and United States. Michael S. Unger's co-authors include Ludwig Aigner, Heike Mrowetz, Julia Marschallinger, Michael T. Heneka, Barbara Altendorfer, Rodolphe Poupardin, Johannes Attems, Birgit Hutter‐Paier, Thomas Weiger and Steffen Roßner and has published in prestigious journals such as Science, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Michael S. Unger

21 papers receiving 804 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael S. Unger 521 303 200 188 150 22 812
Katie J. Ryan 528 1.0× 243 0.8× 195 1.0× 137 0.7× 237 1.6× 17 829
Kelly Ceyzériat 410 0.8× 343 1.1× 251 1.3× 137 0.7× 95 0.6× 32 870
Marius Krauthausen 414 0.8× 307 1.0× 166 0.8× 177 0.9× 220 1.5× 13 778
Juan Ramón Perea 532 1.0× 544 1.8× 261 1.3× 109 0.6× 136 0.9× 16 960
Elisa M. York 602 1.2× 157 0.5× 226 1.1× 108 0.6× 267 1.8× 17 894
Faten A. Sayed 574 1.1× 329 1.1× 168 0.8× 117 0.6× 239 1.6× 9 860
Heela Sarlus 527 1.0× 418 1.4× 263 1.3× 162 0.9× 178 1.2× 22 948
Elodie Martin 302 0.6× 308 1.0× 307 1.5× 108 0.6× 127 0.8× 31 959
Marie‐Kim St‐Pierre 503 1.0× 161 0.5× 140 0.7× 191 1.0× 176 1.2× 22 750
Sarah C. Hopp 484 0.9× 359 1.2× 273 1.4× 78 0.4× 125 0.8× 32 944

Countries citing papers authored by Michael S. Unger

Since Specialization
Citations

This map shows the geographic impact of Michael S. Unger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael S. Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Unger more than expected).

Fields of papers citing papers by Michael S. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Unger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael S. Unger. The network helps show where Michael S. Unger may publish in the future.

Co-authorship network of co-authors of Michael S. Unger

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Unger. A scholar is included among the top collaborators of Michael S. Unger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael S. Unger. Michael S. Unger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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