Danuta Ryglewicz

201 total papers · 9.5k total citations
119 papers, 1.7k citations indexed

About

Danuta Ryglewicz is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Danuta Ryglewicz has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 25 papers in Pulmonary and Respiratory Medicine and 22 papers in Physiology. Recurrent topics in Danuta Ryglewicz's work include Acute Ischemic Stroke Management (28 papers), Cerebrovascular and Carotid Artery Diseases (23 papers) and Epilepsy research and treatment (10 papers). Danuta Ryglewicz is often cited by papers focused on Acute Ischemic Stroke Management (28 papers), Cerebrovascular and Carotid Artery Diseases (23 papers) and Epilepsy research and treatment (10 papers). Danuta Ryglewicz collaborates with scholars based in Poland, United States and United Kingdom. Danuta Ryglewicz's co-authors include Anna Członkowska, Halina Sienkiewicz‐Jarosz, Anna Bochyńska, W Lechowicz, Ałła Graban, Daniel B. Hier, Wanda Łojkowska, H Wehr, Małgorzata Bednarska‐Makaruk and Charles Wolfe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Danuta Ryglewicz

114 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Danuta Ryglewicz 630 320 297 251 235 119 1.7k
Aleksandra Pikula 535 0.8× 362 1.1× 295 1.0× 126 0.5× 324 1.4× 63 1.8k
Haiqing Song 883 1.4× 236 0.7× 464 1.6× 223 0.9× 618 2.6× 116 2.3k
Raymond Tak Fai Cheung 662 1.1× 298 0.9× 246 0.8× 130 0.5× 681 2.9× 73 2.3k
Alexander Yuk Lun Lau 504 0.8× 112 0.3× 387 1.3× 197 0.8× 475 2.0× 109 2.0k
Κonstantinos Vadikolias 701 1.1× 285 0.9× 524 1.8× 183 0.7× 549 2.3× 134 2.2k
Ching‐Kuan Liu 359 0.6× 374 1.2× 136 0.5× 107 0.4× 241 1.0× 90 1.9k
Shahram Oveisgharan 384 0.6× 318 1.0× 153 0.5× 162 0.6× 251 1.1× 111 1.8k
Linda A. Hershey 367 0.6× 280 0.9× 237 0.8× 238 0.9× 660 2.8× 76 2.0k
Muke Zhou 508 0.8× 216 0.7× 178 0.6× 92 0.4× 375 1.6× 101 1.6k
Ruey‐Tay Lin 360 0.6× 142 0.4× 192 0.6× 127 0.5× 235 1.0× 69 1.4k

Countries citing papers authored by Danuta Ryglewicz

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Ryglewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Ryglewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Ryglewicz. A scholar is included among the top collaborators of Danuta Ryglewicz 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 Danuta Ryglewicz. Danuta Ryglewicz 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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2026