Mateusz Wątroba

37 total papers · 875 total citations
25 papers, 632 citations indexed

About

Mateusz Wątroba is a scholar working on Physiology, Geriatrics and Gerontology and Obstetrics and Gynecology. According to data from OpenAlex, Mateusz Wątroba has authored 25 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Geriatrics and Gerontology and 8 papers in Obstetrics and Gynecology. Recurrent topics in Mateusz Wątroba's work include Sirtuins and Resveratrol in Medicine (8 papers), Pregnancy and preeclampsia studies (6 papers) and Adipose Tissue and Metabolism (5 papers). Mateusz Wątroba is often cited by papers focused on Sirtuins and Resveratrol in Medicine (8 papers), Pregnancy and preeclampsia studies (6 papers) and Adipose Tissue and Metabolism (5 papers). Mateusz Wątroba collaborates with scholars based in Poland and Portugal. Mateusz Wątroba's co-authors include Dariusz Szukiewicz, Aleksandra Stangret, Marta Skoda, Ilona Dudek, Przemysław Rzodkiewicz, Grzegorz Szewczyk, Anna D. Grabowska, D. Maślińska, Michał Pyźlak and S Maśliński and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Obesity Reviews.

In The Last Decade

Mateusz Wątroba

24 papers receiving 619 citations

Author Peers

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

Author Last Decade Papers Cites
Mateusz Wątroba 224 191 184 110 88 25 632
Xuefei Yu 263 1.2× 209 1.1× 108 0.6× 117 1.1× 8 0.1× 13 609
Jia-Le Lv 210 0.9× 210 1.1× 139 0.8× 156 1.4× 15 0.2× 18 638
Sofia Chiatamone Ranieri 287 1.3× 42 0.2× 181 1.0× 113 1.0× 8 0.1× 28 731
Thomas K. Sin 314 1.4× 188 1.0× 184 1.0× 122 1.1× 17 0.2× 22 638
Yosuke Kobayashi 466 2.1× 179 0.9× 209 1.1× 104 0.9× 7 0.1× 23 793
Yanqing Chi 260 1.2× 100 0.5× 79 0.4× 109 1.0× 8 0.1× 22 574
Liang‐Yi Si 179 0.8× 60 0.3× 169 0.9× 77 0.7× 14 0.2× 29 659
Mary Y. K. Lee 253 1.1× 165 0.9× 235 1.3× 135 1.2× 5 0.1× 16 689
Ekaterina A. Shaforostova 438 2.0× 36 0.2× 186 1.0× 93 0.8× 8 0.1× 15 649
Yanan Sun 349 1.6× 85 0.4× 254 1.4× 103 0.9× 5 0.1× 23 724

Countries citing papers authored by Mateusz Wątroba

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Wątroba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Wątroba

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