Michael Städt

15 total papers · 506 total citations
5 papers, 21 citations indexed

About

Michael Städt is a scholar working on Surgery, Neurology and Epidemiology. According to data from OpenAlex, Michael Städt has authored 5 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Michael Städt's work include Traumatic Brain Injury and Neurovascular Disturbances (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). Michael Städt is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). Michael Städt collaborates with scholars based in Germany. Michael Städt's co-authors include Markus Holtmannspötter, Florian Eff, Philipp Steininger, Christina Bauer, Klaus Korn, Frank Erbguth, Armin Ensser, Hans‐Herbert Steiner, Leonard Ritter and Michael Schrey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Acta Neurochirurgica.

In The Last Decade

Michael Städt

5 papers receiving 20 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 Städt 10 9 8 5 4 5 21
Patricia Muñoz García 6 0.6× 5 0.6× 8 1.0× 9 1.8× 1 0.3× 6 27
Ascanio Bencosme 7 0.7× 3 0.3× 3 0.4× 4 0.8× 2 0.5× 4 27
C. Okada 6 0.6× 10 1.1× 7 0.9× 7 1.4× 3 0.8× 5 32
Ronaldo C. Go 4 0.4× 10 1.1× 10 1.3× 11 2.2× 6 28
Ryan Arthur Figueras 8 0.8× 3 0.3× 7 0.9× 4 0.8× 1 0.3× 5 21
Gorana Vukorepa 5 0.5× 9 1.0× 4 0.5× 14 2.8× 4 22
Giorgia Borio 12 1.2× 8 0.9× 3 0.4× 15 3.0× 6 25
Purnima Parthasarathy 7 0.7× 2 0.2× 4 0.5× 9 1.8× 3 0.8× 4 19
Matthew A. Sexton 3 0.3× 5 0.6× 9 1.1× 5 1.0× 1 0.3× 7 22
Benjamin Huang 4 0.4× 9 1.0× 7 0.9× 5 24

Countries citing papers authored by Michael Städt

Since Specialization
Citations

This map shows the geographic impact of Michael Städt'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 Städt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Städt more than expected).

Fields of papers citing papers by Michael Städt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Städt. 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 Städt. The network helps show where Michael Städt may publish in the future.

Co-authorship network of co-authors of Michael Städt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Städt. A scholar is included among the top collaborators of Michael Städt 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 Städt. Michael Städt 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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