Angelina Marr

14 total papers · 1.1k total citations
11 papers, 734 citations indexed

About

Angelina Marr is a scholar working on Neurology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Angelina Marr has authored 11 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 2 papers in Pathology and Forensic Medicine and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Angelina Marr's work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Angelina Marr is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Angelina Marr collaborates with scholars based in Switzerland, United States and Canada. Angelina Marr's co-authors include Sébastiên Roux, Stephan A. Mayer, Randall T. Higashida, Isabel Wanke, Andreas Raabe, Aline Frey, Neal F. Kassell, Peter Vajkoczy, R. Loch Macdonald and Andy Molyneux and has published in prestigious journals such as JAMA, Stroke and The Lancet Neurology.

In The Last Decade

Angelina Marr

11 papers receiving 720 citations

Hit Papers

Clazosentan, an endotheli... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Angelina Marr 564 90 82 71 70 11 734
S Greenberg 618 1.1× 32 0.4× 95 1.2× 42 0.6× 50 0.7× 8 826
C. D. Betts 144 0.3× 151 1.7× 34 0.4× 83 1.2× 62 0.9× 8 641
Susan Booher 133 0.2× 103 1.1× 72 0.9× 35 0.5× 182 2.6× 16 842
Anthony C. Breuer 250 0.4× 70 0.8× 92 1.1× 136 1.9× 140 2.0× 21 824
Ghaniah Hassan‐Smith 581 1.0× 152 1.7× 35 0.4× 70 1.0× 72 1.0× 14 800
Marco Piatti 401 0.7× 84 0.9× 59 0.7× 117 1.6× 146 2.1× 11 882
S. Delalande 261 0.5× 306 3.4× 18 0.2× 30 0.4× 64 0.9× 18 736
Yoichi Mashimo 331 0.6× 14 0.2× 202 2.5× 49 0.7× 127 1.8× 24 832
Pascale Aeschlimann 144 0.3× 127 1.4× 178 2.2× 134 1.9× 89 1.3× 15 790
Robert S. Porro 300 0.5× 48 0.5× 64 0.8× 103 1.5× 110 1.6× 17 622

Countries citing papers authored by Angelina Marr

Since Specialization
Citations

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

Fields of papers citing papers by Angelina Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelina Marr

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