Małgorzata Partyka

23 total papers · 461 total citations
19 papers, 360 citations indexed

About

Małgorzata Partyka is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Immunology. According to data from OpenAlex, Małgorzata Partyka has authored 19 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Małgorzata Partyka's work include Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Małgorzata Partyka is often cited by papers focused on Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Małgorzata Partyka collaborates with scholars based in Poland, United States and Czechia. Małgorzata Partyka's co-authors include Maria Klatka, Anna Błażewicz, Ryszard Kocjan, Aleksander Astel, Michał Nowicki, Ewelina Grywalska, B Miśkowiak, Jacek Roliński, Małgorzata Charytanowicz and Radosław Januchowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Oncotarget.

In The Last Decade

Małgorzata Partyka

19 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Małgorzata Partyka 105 67 51 49 42 19 360
T Okayasu 73 0.7× 84 1.3× 87 1.7× 64 1.3× 29 0.7× 35 332
Sindhu Lakkur 117 1.1× 62 0.9× 20 0.4× 81 1.7× 31 0.7× 13 391
Jennifer A. Tomczak 108 1.0× 110 1.6× 30 0.6× 53 1.1× 58 1.4× 16 392
Е. Р. Никитина 147 1.4× 72 1.1× 39 0.8× 17 0.3× 45 1.1× 27 401
Heyu Meng 125 1.2× 44 0.7× 48 0.9× 19 0.4× 26 0.6× 27 317
Kyoko Furuta 81 0.8× 30 0.4× 21 0.4× 32 0.7× 36 0.9× 20 371
Atsushi Fukumura 66 0.6× 49 0.7× 81 1.6× 27 0.6× 94 2.2× 17 368
Shengqi Huo 177 1.7× 50 0.7× 61 1.2× 40 0.8× 12 0.3× 17 377
H. Y. Pan 64 0.6× 56 0.8× 25 0.5× 48 1.0× 22 0.5× 16 332
Raffaele Raucci 144 1.4× 51 0.8× 53 1.0× 75 1.5× 13 0.3× 17 351

Countries citing papers authored by Małgorzata Partyka

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Partyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Partyka

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