Katarina Dakay

83 total papers · 991 total citations
26 papers, 328 citations indexed

About

Katarina Dakay is a scholar working on Neurology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Katarina Dakay has authored 26 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Katarina Dakay's work include Intracranial Aneurysms: Treatment and Complications (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Neurosurgical Procedures and Complications (7 papers). Katarina Dakay is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Neurosurgical Procedures and Complications (7 papers). Katarina Dakay collaborates with scholars based in United States, Italy and United Kingdom. Katarina Dakay's co-authors include Chirag D. Gandhi, Fawaz Al‐Mufti, Gurmeen Kaur, Justin Santarelli, Stephan A. Mayer, Edwin Gulko, Shadi Yaghi, Jared Cooper, Ramandeep Sahni and Rolla Nuoman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and American Journal of Neuroradiology.

In The Last Decade

Katarina Dakay

25 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Katarina Dakay	207	78	69	68	53	26	328
Dinesh Jillella	116 0.6×	86 1.1×	57 0.8×	18 0.3×	34 0.6×	31	241
Praveen Kesav	106 0.5×	104 1.3×	44 0.6×	36 0.5×	68 1.3×	38	266
Syed I. Hussain	80 0.4×	72 0.9×	28 0.4×	118 1.7×	90 1.7×	21	304
Jorge Rodríguez‐Pardo	105 0.5×	142 1.8×	27 0.4×	40 0.6×	57 1.1×	33	295
Faheem Sheriff	187 0.9×	126 1.6×	36 0.5×	56 0.8×	75 1.4×	31	347
Santiago R. Unda	127 0.6×	53 0.7×	106 1.5×	15 0.2×	34 0.6×	28	284
Reza Gorji	163 0.8×	88 1.1×	43 0.6×	48 0.7×	43 0.8×	23	324
Richard Zampolin	121 0.6×	68 0.9×	52 0.8×	9 0.1×	50 0.9×	30	228
Juan‐Camilo Vargas‐González	132 0.6×	78 1.0×	23 0.3×	43 0.6×	33 0.6×	21	315
Stephanie Zyck	96 0.5×	45 0.6×	30 0.4×	31 0.5×	12 0.2×	22	262

Countries citing papers authored by Katarina Dakay

Since Specialization

Citations

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

Fields of papers citing papers by Katarina Dakay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarina Dakay

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