Gabriele Matilionyte

11 total papers · 451 total citations
9 papers, 293 citations indexed

About

Gabriele Matilionyte is a scholar working on Molecular Biology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gabriele Matilionyte has authored 9 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gabriele Matilionyte's work include Reproductive Biology and Fertility (3 papers), Renal and related cancers (3 papers) and Testicular diseases and treatments (3 papers). Gabriele Matilionyte is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Renal and related cancers (3 papers) and Testicular diseases and treatments (3 papers). Gabriele Matilionyte collaborates with scholars based in United Kingdom, Sweden and United States. Gabriele Matilionyte's co-authors include Rod T. Mitchell, Melissa D. Tharmalingam, Jingtao Guo, Anne Goriely, Bradley R. Cairns, Hana Mlčochová, Cecilia Lindskog, Yueqi Wang, Edward J. Grow and Douglas T. Carrell and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell stem cell.

In The Last Decade

Gabriele Matilionyte

8 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Matilionyte 152 136 100 54 49 9 293
Cheryle C. Lu 83 0.5× 220 1.6× 157 1.6× 33 0.6× 29 0.6× 10 353
Ali Khodadadian 110 0.7× 121 0.9× 68 0.7× 51 0.9× 19 0.4× 13 332
Magdalena Wagner 175 1.2× 88 0.6× 163 1.6× 46 0.9× 28 0.6× 8 336
Ilona Kopera 132 0.9× 214 1.6× 113 1.1× 85 1.6× 38 0.8× 11 357
Guoping He 116 0.8× 80 0.6× 67 0.7× 23 0.4× 26 0.5× 12 345
Liangyan Shi 93 0.6× 113 0.8× 175 1.8× 32 0.6× 23 0.5× 10 328
H. Tamura 119 0.8× 122 0.9× 66 0.7× 60 1.1× 20 0.4× 12 350
Sandra W. Huff 144 0.9× 74 0.5× 111 1.1× 65 1.2× 50 1.0× 9 326
Dany Plourde 115 0.8× 27 0.2× 113 1.1× 46 0.9× 64 1.3× 13 280
Fabiola Milosa 91 0.6× 141 1.0× 118 1.2× 46 0.9× 9 0.2× 9 289

Countries citing papers authored by Gabriele Matilionyte

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Matilionyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Matilionyte

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