Urszula Wojda

97 total papers · 2.7k total citations
63 papers, 2.1k citations indexed

About

Urszula Wojda is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Urszula Wojda has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Physiology and 9 papers in Hematology. Recurrent topics in Urszula Wojda's work include Alzheimer's disease research and treatments (17 papers), Erythrocyte Function and Pathophysiology (9 papers) and MicroRNA in disease regulation (6 papers). Urszula Wojda is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Erythrocyte Function and Pathophysiology (9 papers) and MicroRNA in disease regulation (6 papers). Urszula Wojda collaborates with scholars based in Poland, United States and Germany. Urszula Wojda's co-authors include Jacek Kuźnicki, Anna Mietelska‐Porowska, Katarzyna Laskowska-Kaszub, Joanna Wojsiat, Elżbieta Salińska, Angelika Więckowska‐Gacek, Katarzyna Marta Zoltowska, Jeffery L. Miller, Anna Filipek and Siranjeevi Nagaraj and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

In The Last Decade

Urszula Wojda

62 papers receiving 2.1k citations

Hit Papers

Western diet as a trigger... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Urszula Wojda 1.0k 842 296 278 227 63 2.1k
Elizabeth A. Milward 761 0.7× 875 1.0× 342 1.2× 192 0.7× 381 1.7× 55 2.2k
Giordano Pula 1.2k 1.1× 365 0.4× 196 0.7× 202 0.7× 336 1.5× 64 2.4k
Ju Gao 1.1k 1.1× 466 0.6× 287 1.0× 190 0.7× 193 0.9× 70 2.1k
Roman Fischer 660 0.6× 468 0.6× 535 1.8× 150 0.5× 234 1.0× 47 2.4k
Marina G. Sergeeva 710 0.7× 336 0.4× 259 0.9× 145 0.5× 245 1.1× 71 1.7k
Christer Möller 1.0k 1.0× 973 1.2× 262 0.9× 164 0.6× 341 1.5× 61 2.8k
Wendy Cammer 1.4k 1.4× 464 0.6× 592 2.0× 189 0.7× 690 3.0× 99 3.2k
Jong Kil Lee 1.1k 1.1× 871 1.0× 525 1.8× 127 0.5× 374 1.6× 84 2.7k
Quanhong Ma 1.2k 1.2× 579 0.7× 254 0.9× 167 0.6× 441 1.9× 94 2.4k
Anuradha Kalani 1.5k 1.4× 616 0.7× 347 1.2× 532 1.9× 248 1.1× 59 2.8k

Countries citing papers authored by Urszula Wojda

Since Specialization
Citations

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

Fields of papers citing papers by Urszula Wojda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urszula Wojda

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