Marina Payerl-Pal

442 citations
10 papers · 270 indexed · h-index 4

Marina Payerl-Pal

9 papers receiving 266 citations

Peers

Marina Payerl-Pal
Comparison fields: 5 of 77
  • Applied Microbiology and Biotechnology 135
  • Epidemiology 99
  • Molecular Medicine 74
  • Infectious Diseases 57
  • Pharmacology 46
Replace Irma Korinteli with:
Irma Korinteli Denmark
Lilit Ghazaryan Denmark
Vesela Radonjić Serbia
Vineshree Mischka Moodley South Africa
Sena Sayood United States
Wanda Cornistein Argentina
Sarah Si Lin Tang Singapore
Mushira Enani Saudi Arabia
Jenny Hellman Sweden
Nga Thi Thuy Vietnam
Marina Payerl-Pal relative to Irma Korinteli Denmark Irma Korinteli's profile →
Citations per field
00.5×1.6×
Irma Korinteli · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 1
5 229
6 16
7
[Surveillance of antibiotic resistance and antibiotic consumption in Medimurje].
1
8 12
9
Surveillance for Antimicrobial Resistance in Croatia Arjana Tambic Andraševic,* Tera Tambic,† Smilja Kalenic,‡ and Vera Jankovic,§ and the Working Group of the Croatian Committee for Antibiotic Resistance Surveillance 1
5
10
Familial epidemic of meningococcal disease.
1

About Marina Payerl-Pal

Marina Payerl-Pal is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 10 papers that have together received 270 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (135 citations), Molecular Medicine (74 citations) and Clinical Biochemistry (34 citations). Marina Payerl-Pal has collaborated with scholars based in Croatia, United States and Belgium. Frequent co-authors include Vesela Radonjić, Irma Korinteli, Hanne Bak Pedersen, Ann Versporten, Lilit Ghazaryan, Lul Raka, Herman Goossens, Arjana Tambić-Andrašević, Artur J. Sabat and Jolanta Krzysztoń-Russjan. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Lancet Infectious Diseases and International Journal of Infectious Diseases.

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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