Ryszard Żaba

232 total papers · 1.8k total citations
131 papers, 1.2k citations indexed

About

Ryszard Żaba is a scholar working on Dermatology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ryszard Żaba has authored 131 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Dermatology, 31 papers in Epidemiology and 28 papers in Pathology and Forensic Medicine. Recurrent topics in Ryszard Żaba's work include Autoimmune Bullous Skin Diseases (15 papers), Systemic Sclerosis and Related Diseases (13 papers) and Acne and Rosacea Treatments and Effects (12 papers). Ryszard Żaba is often cited by papers focused on Autoimmune Bullous Skin Diseases (15 papers), Systemic Sclerosis and Related Diseases (13 papers) and Acne and Rosacea Treatments and Effects (12 papers). Ryszard Żaba collaborates with scholars based in Poland, United States and Germany. Ryszard Żaba's co-authors include Aleksandra Dańczak‐Pazdrowska, Zygmunt Adamski, Adriana Polańska, Kevin Kavanagh, Andrzej Szkaradkiewicz, Wojciech Silny, Niamh O’Reilly, Agnieszka Osmola‐Mańkowska, Magdalena Czarnecka‐Operacz and Monika Bowszyc‐Dmochowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Ryszard Żaba

115 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Ryszard Żaba 616 232 198 165 118 131 1.2k
Liborija Lugović‐Mihić 693 1.1× 216 0.9× 176 0.9× 158 1.0× 65 0.6× 117 1.4k
Danielle Marcoux 664 1.1× 256 1.1× 138 0.7× 218 1.3× 125 1.1× 72 1.4k
J. Toribio 481 0.8× 335 1.4× 174 0.9× 104 0.6× 111 0.9× 114 1.1k
Moon‐Bum Kim 538 0.9× 269 1.2× 132 0.7× 210 1.3× 49 0.4× 112 994
Andrew C. Krakowski 748 1.2× 223 1.0× 132 0.7× 93 0.6× 100 0.8× 98 1.3k
Ross StC. Barnetson 642 1.0× 384 1.7× 121 0.6× 225 1.4× 97 0.8× 70 1.4k
Ülker Gül 415 0.7× 194 0.8× 136 0.7× 225 1.4× 80 0.7× 111 1.1k
Jirô Arata 343 0.6× 146 0.6× 226 1.1× 144 0.9× 145 1.2× 80 1.2k
Weon Ju Lee 733 1.2× 259 1.1× 138 0.7× 103 0.6× 48 0.4× 141 1.2k
Do Won Kim 691 1.1× 218 0.9× 139 0.7× 96 0.6× 50 0.4× 143 1.5k

Countries citing papers authored by Ryszard Żaba

Since Specialization
Citations

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

Fields of papers citing papers by Ryszard Żaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryszard Żaba

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