Ute Schwiderski

17 total papers · 905 total citations
13 papers, 737 citations indexed

About

Ute Schwiderski is a scholar working on Pharmacology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ute Schwiderski has authored 13 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 6 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ute Schwiderski's work include Treatment of Major Depression (6 papers), Acute Ischemic Stroke Management (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). Ute Schwiderski is often cited by papers focused on Treatment of Major Depression (6 papers), Acute Ischemic Stroke Management (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). Ute Schwiderski collaborates with scholars based in United States and Germany. Ute Schwiderski's co-authors include LuAnn Sabounjian, Bobby W. Sandage, Wayne M. Clark, Lawrence R. Wechsler, Annabel Nixon, Shoshana Colman, David Staskin, Norman R. Zinner, Majaz Moonis and Kevin Kane and has published in prestigious journals such as Neurology, Stroke and Annals of Neurology.

In The Last Decade

Ute Schwiderski

13 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Ute Schwiderski 419 223 174 171 141 13 737
Filomena Petta 165 0.4× 34 0.2× 500 2.9× 568 3.3× 78 0.6× 23 720
Roy Chun-Laam Ng 208 0.5× 137 0.6× 40 0.2× 44 0.3× 17 0.1× 16 650
Shin Suda 78 0.2× 116 0.5× 285 1.6× 255 1.5× 120 0.9× 28 810
J Worm-Petersen 90 0.2× 30 0.1× 101 0.6× 96 0.6× 50 0.4× 22 692
Timothy J. Burton 82 0.2× 18 0.1× 94 0.5× 375 2.2× 45 0.3× 15 902
Oscar Contreras Ortiz 95 0.2× 41 0.2× 164 0.9× 57 0.3× 20 0.1× 22 775
William de Groat 54 0.1× 22 0.1× 103 0.6× 302 1.8× 21 0.1× 18 620
Kevin Ong 85 0.2× 68 0.3× 14 0.1× 25 0.1× 52 0.4× 26 750
Licia Denti 204 0.5× 50 0.2× 10 0.1× 12 0.1× 72 0.5× 35 719
George DeMaagd 53 0.1× 71 0.3× 44 0.3× 27 0.2× 12 0.1× 13 662

Countries citing papers authored by Ute Schwiderski

Since Specialization
Citations

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

Fields of papers citing papers by Ute Schwiderski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Schwiderski

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