S Terlikowski

162 total papers · 1.4k total citations
101 papers, 1.0k citations indexed

About

S Terlikowski is a scholar working on Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, S Terlikowski has authored 101 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Obstetrics and Gynecology and 18 papers in Reproductive Medicine. Recurrent topics in S Terlikowski's work include Endometrial and Cervical Cancer Treatments (18 papers), Ovarian cancer diagnosis and treatment (14 papers) and Angiogenesis and VEGF in Cancer (9 papers). S Terlikowski is often cited by papers focused on Endometrial and Cervical Cancer Treatments (18 papers), Ovarian cancer diagnosis and treatment (14 papers) and Angiogenesis and VEGF in Cancer (9 papers). S Terlikowski collaborates with scholars based in Poland, United Kingdom and United States. S Terlikowski's co-authors include Bożena Dobrzycka, Maciej Kinalski, Katarzyna M. Terlikowska, Oksana Kowalczuk, M Kulikowski, Beata Maćkowiak-Matejczyk, L Chyczewski, Anna Maria Witkowska, Wiesława Niklińska and M Sulkowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

S Terlikowski

95 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
S Terlikowski 301 256 234 219 198 101 1.0k
Tomohito Tanaka 345 1.1× 335 1.3× 289 1.2× 330 1.5× 207 1.0× 80 1.0k
Aneta Cymbaluk‐Płoska 214 0.7× 243 0.9× 191 0.8× 237 1.1× 160 0.8× 117 1.0k
Masayuki Futagami 404 1.3× 303 1.2× 225 1.0× 214 1.0× 156 0.8× 62 955
Darius Dian 249 0.8× 217 0.8× 187 0.8× 277 1.3× 242 1.2× 56 1.0k
Michitaka Ohwada 283 0.9× 458 1.8× 203 0.9× 424 1.9× 128 0.6× 86 1.0k
Μenelaos Zafrakas 324 1.1× 236 0.9× 187 0.8× 299 1.4× 85 0.4× 73 1.1k
Leslie H. Clark 367 1.2× 193 0.8× 287 1.2× 279 1.3× 239 1.2× 75 1.1k
Zhiqi Wang 381 1.3× 162 0.6× 137 0.6× 264 1.2× 153 0.8× 98 1.1k
Anita Chudecka-Głaz 226 0.8× 367 1.4× 227 1.0× 195 0.9× 153 0.8× 85 850
Karen K. L. Chan 455 1.5× 196 0.8× 275 1.2× 120 0.5× 314 1.6× 66 1.2k

Countries citing papers authored by S Terlikowski

Since Specialization
Citations

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

Fields of papers citing papers by S Terlikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Terlikowski

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