Marina Payerl-Pal

29 total papers · 438 total citations
10 papers, 269 citations indexed

About

Marina Payerl-Pal is a scholar working on Epidemiology, Applied Microbiology and Biotechnology and Clinical Biochemistry. According to data from OpenAlex, Marina Payerl-Pal has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Applied Microbiology and Biotechnology and 3 papers in Clinical Biochemistry. Recurrent topics in Marina Payerl-Pal's work include Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Marina Payerl-Pal is often cited by papers focused on Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Marina Payerl-Pal collaborates with scholars based in Croatia, United States and Belgium. Marina Payerl-Pal's co-authors include Hanne Bak Pedersen, Lul Raka, Vesela Radonjić, Ann Versporten, Herman Goossens, Irma Korinteli, Lilit Ghazaryan, Arjana Tambić-Andrašević, Jolanta Krzysztoń-Russjan and Waleria Hryniewicz and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, The Lancet Infectious Diseases and International Journal of Infectious Diseases.

In The Last Decade

Marina Payerl-Pal

9 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
Marina Payerl-Pal 135 98 74 57 46 10 269
Vesela Radonjić 138 1.0× 81 0.8× 71 1.0× 33 0.6× 42 0.9× 9 274
P. Margreet G. Filius 114 0.8× 97 1.0× 75 1.0× 72 1.3× 31 0.7× 12 326
Wanda Cornistein 131 1.0× 77 0.8× 87 1.2× 35 0.6× 27 0.6× 22 263
Mushira Enani 120 0.9× 98 1.0× 65 0.9× 59 1.0× 27 0.6× 20 251
Silvio Vega 120 0.9× 55 0.6× 159 2.1× 44 0.8× 57 1.2× 13 270
Germán Peñalva 162 1.2× 89 0.9× 120 1.6× 63 1.1× 35 0.8× 21 273
Lilit Ghazaryan 151 1.1× 87 0.9× 71 1.0× 35 0.6× 42 0.9× 2 252
Irma Korinteli 151 1.1× 87 0.9× 71 1.0× 35 0.6× 42 0.9× 2 252
Judy Moshos 99 0.7× 81 0.8× 122 1.6× 95 1.7× 80 1.7× 11 301
Yogandree Ramsamy 112 0.8× 51 0.5× 121 1.6× 26 0.5× 25 0.5× 17 249

Countries citing papers authored by Marina Payerl-Pal

Since Specialization
Citations

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

Fields of papers citing papers by Marina Payerl-Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina Payerl-Pal. 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 Marina Payerl-Pal. The network helps show where Marina Payerl-Pal may publish in the future.

Co-authorship network of co-authors of Marina Payerl-Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Payerl-Pal. A scholar is included among the top collaborators of Marina Payerl-Pal 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 Marina Payerl-Pal. Marina Payerl-Pal 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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