Magdalena Machała

40 total papers · 899 total citations
19 papers, 676 citations indexed

About

Magdalena Machała is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Magdalena Machała has authored 19 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 5 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Magdalena Machała's work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (10 papers) and Immune Cell Function and Interaction (4 papers). Magdalena Machała is often cited by papers focused on Influenza Virus Research Studies (14 papers), Respiratory viral infections research (10 papers) and Immune Cell Function and Interaction (4 papers). Magdalena Machała collaborates with scholars based in Poland, Mongolia and United States. Magdalena Machała's co-authors include Lidia B. Brydak, Ewa Szmit, Piotr Trzonkowski, Jolanta Myśliwska, Andrzej Myśliwski, Krzysztof Łukaszuk, R Rokicka-Milewska, Stanisław Góźdż, Teresa Jackowska and Przemysław Biliński and has published in prestigious journals such as Drugs, Vaccine and Brain Behavior and Immunity.

In The Last Decade

Magdalena Machała

18 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Magdalena Machała 465 281 122 58 47 19 676
Ewa Szmit 263 0.6× 462 1.6× 61 0.5× 91 1.6× 58 1.2× 17 733
Karin Hähnel 374 0.8× 450 1.6× 61 0.5× 109 1.9× 36 0.8× 15 727
Miranda Fischer 232 0.5× 347 1.2× 46 0.4× 60 1.0× 20 0.4× 15 670
Alessandra Aquino 162 0.3× 435 1.5× 66 0.5× 34 0.6× 36 0.8× 17 736
Nancy B. Tustin 363 0.8× 116 0.4× 160 1.3× 72 1.2× 39 0.8× 16 595
Jeffrey Pido-Lopez 169 0.4× 327 1.2× 81 0.7× 53 0.9× 15 0.3× 20 676
Annette Pachnio 373 0.8× 300 1.1× 71 0.6× 139 2.4× 11 0.2× 20 612
O. Hall 145 0.3× 250 0.9× 114 0.9× 44 0.8× 11 0.2× 18 665
Anna Maria Iorio 343 0.7× 290 1.0× 102 0.8× 22 0.4× 11 0.2× 22 653
Bridget Vesosky 301 0.6× 336 1.2× 375 3.1× 56 1.0× 13 0.3× 16 605

Countries citing papers authored by Magdalena Machała

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Machała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Machała

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