Aleksandra Rył

72 total papers · 1.1k total citations
55 papers, 778 citations indexed

About

Aleksandra Rył is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Surgery. According to data from OpenAlex, Aleksandra Rył has authored 55 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Reproductive Medicine and 7 papers in Surgery. Recurrent topics in Aleksandra Rył's work include Hormonal and reproductive studies (11 papers), Long-Term Effects of COVID-19 (6 papers) and Bone health and osteoporosis research (6 papers). Aleksandra Rył is often cited by papers focused on Hormonal and reproductive studies (11 papers), Long-Term Effects of COVID-19 (6 papers) and Bone health and osteoporosis research (6 papers). Aleksandra Rył collaborates with scholars based in Poland. Aleksandra Rył's co-authors include Maria Laszczyńska, Olimpia Sipak‐Szmigiel, Weronika Ratajczak, A Mizerski, Iwona Rotter, Aleksandra Szylińska, Marcin Słojewski, Anna Lubkowska, Tomasz Miazgowski and Małgorzata Piasecka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Aleksandra Rył

48 papers receiving 765 citations

Hit Papers

Immunomodulatory potentia... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Aleksandra Rył 367 145 127 82 82 55 778
Olimpia Sipak‐Szmigiel 360 1.0× 124 0.9× 62 0.5× 72 0.9× 81 1.0× 47 770
Yinwei Chen 390 1.1× 138 1.0× 83 0.7× 58 0.7× 41 0.5× 42 724
Gracia María Martín‐Núñez 402 1.1× 233 1.6× 97 0.8× 75 0.9× 129 1.6× 31 891
Agnieszka Barańska 282 0.8× 104 0.7× 61 0.5× 67 0.8× 122 1.5× 63 905
Elham Hosseini 316 0.9× 148 1.0× 66 0.5× 57 0.7× 170 2.1× 19 782
Ahmadreza Soroush 339 0.9× 240 1.7× 80 0.6× 43 0.5× 68 0.8× 37 735
Eliza Whiteside 205 0.6× 152 1.0× 99 0.8× 49 0.6× 79 1.0× 34 706
Yanan Hao 486 1.3× 174 1.2× 44 0.3× 77 0.9× 96 1.2× 23 849
Li Tang 428 1.2× 147 1.0× 38 0.3× 71 0.9× 46 0.6× 33 742
Seong-Ah Kim 313 0.9× 228 1.6× 105 0.8× 108 1.3× 121 1.5× 40 855

Countries citing papers authored by Aleksandra Rył

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Rył

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Rył

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