Metka Paragi

1.3k total citations
23 papers, 353 citations indexed

About

Metka Paragi is a scholar working on Epidemiology, Microbiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Metka Paragi has authored 23 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in Microbiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Metka Paragi's work include Pneumonia and Respiratory Infections (17 papers), Bacterial Infections and Vaccines (13 papers) and Respiratory viral infections research (4 papers). Metka Paragi is often cited by papers focused on Pneumonia and Respiratory Infections (17 papers), Bacterial Infections and Vaccines (13 papers) and Respiratory viral infections research (4 papers). Metka Paragi collaborates with scholars based in Slovenia, Spain and Portugal. Metka Paragi's co-authors include José Gonçalves, Marija Trkov, Milan Čižman, Katarina Prosenc, Nataša Berginc, Tadeja Kotar, João R. Mesquita, Marko Pokorn, Katja Seme and Marija Gubina and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Vaccine.

In The Last Decade

Metka Paragi

23 papers receiving 343 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Metka Paragi Slovenia 9 160 154 111 63 57 23 353
Michael D. Nowak United States 7 133 0.8× 244 1.6× 9 0.1× 24 0.4× 28 0.5× 21 363
Manuel Krone Germany 10 65 0.4× 122 0.8× 27 0.2× 29 0.5× 21 0.4× 33 260
Charles Dale United States 7 33 0.2× 235 1.5× 76 0.7× 10 0.2× 153 2.7× 9 344
Felix S. Dube South Africa 11 239 1.5× 71 0.5× 91 0.8× 15 0.2× 31 0.5× 30 371
Frank Haamann Germany 7 60 0.4× 160 1.0× 16 0.1× 25 0.4× 21 0.4× 10 360
Olive Mbabazi Uganda 9 215 1.3× 242 1.6× 27 0.2× 12 0.2× 30 0.5× 13 322
Julio Sempere Spain 9 226 1.4× 32 0.2× 88 0.8× 9 0.1× 28 0.5× 17 291
Nikolay Mayanskiy Russia 11 188 1.2× 46 0.3× 93 0.8× 9 0.1× 48 0.8× 43 355
Arzu Nazlı Türkiye 8 241 1.5× 284 1.8× 16 0.1× 15 0.2× 12 0.2× 27 392
Munehisa Fukusumi Japan 8 101 0.6× 50 0.3× 69 0.6× 4 0.1× 21 0.4× 27 222

Countries citing papers authored by Metka Paragi

Since Specialization
Citations

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

Fields of papers citing papers by Metka Paragi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Metka Paragi

This figure shows the co-authorship network connecting the top 25 collaborators of Metka Paragi. A scholar is included among the top collaborators of Metka Paragi 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 Metka Paragi. Metka Paragi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gonçalves, José, Andrés F. Torres-Franco, Elisa Rodríguez, et al.. (2022). Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review. One Health. 15. 100405–100405. 24 indexed citations
2.
Čižman, Milan, et al.. (2021). Correlation between Antibiotic Consumption and Resistance of Invasive Streptococcus pneumoniae. Antibiotics. 10(7). 758–758. 8 indexed citations
3.
Gonçalves, José, et al.. (2021). Surface contamination with SARS-CoV-2: A systematic review. The Science of The Total Environment. 798. 149231–149231. 46 indexed citations
4.
Paragi, Metka, et al.. (2021). First case of interconnected clusters of primary meningococcal arthritis and meningococcal meningitis due to Neisseria meningitidis serogroup B in Slovenia. SHILAP Revista de lepidopterología. 90(5-6). 266–274. 1 indexed citations
5.
Gonçalves, José, Marija Trkov, Nataša Berginc, et al.. (2020). Detection of SARS-CoV-2 RNA in hospital wastewater from a low COVID-19 disease prevalence area. The Science of The Total Environment. 755(Pt 2). 143226–143226. 92 indexed citations
6.
7.
Balestri, Martina, Concetta Crisafulli, Luigi Donato, et al.. (2017). Nine differentially expressed genes from a post mortem study and their association with suicidal status in a sample of suicide completers, attempters and controls. Journal of Psychiatric Research. 91. 98–104. 5 indexed citations
8.
9.
Beovič, Bojana, et al.. (2015). First report of an outbreak of pneumonia caused by Streptococcus pneumoniae serotype 6A. Wiener klinische Wochenschrift. 128(1-2). 68–70. 2 indexed citations
10.
Bröker, Michael, Stéphane Emonet, Cecilia Fazio, et al.. (2015). Meningococcal serogroup Y disease in Europe: Continuation of high importance in some European regions in 2013. Human Vaccines & Immunotherapeutics. 11(9). 2281–2286. 49 indexed citations
11.
Paragi, Metka, et al.. (2015). Regional variation in antibiotic use in children in Slovenia. Journal of Pediatric Infectious Diseases. 9(3). 139–145. 3 indexed citations
12.
Paragi, Metka, et al.. (2011). First case of meningococcal meningitis due to Neisseria meningitidis serogroup Z' in Slovenia, December 2010. Eurosurveillance. 16(6). 4 indexed citations
13.
Kastrin, Tamara, Metka Paragi, Jana Kolman, et al.. (2010). Characterisation of invasive Haemophilus influenzae isolates in Slovenia, 1993–2008. European Journal of Clinical Microbiology & Infectious Diseases. 29(6). 661–668. 17 indexed citations
14.
Čižman, Milan, Bojana Beovič, Katja Seme, et al.. (2006). Macrolide resistance rates in respiratory pathogens in Slovenia following reduced macrolide use. International Journal of Antimicrobial Agents. 28(6). 537–542. 12 indexed citations
15.
Paragi, Metka, et al.. (2003). Possibility of application of new pneumococcal conjugate vaccines in children in Slovenia. Vaccine. 21(32). 4708–4714. 11 indexed citations
16.
Čižman, Milan, Marija Gubina, Metka Paragi, Bojana Beovič, & Gorazd Lešničar. (2001). Meningococcal disease in Slovenia (1993–1999): serogroups and susceptibility to antibiotics. International Journal of Antimicrobial Agents. 17(1). 27–31. 4 indexed citations
17.
Paragi, Metka, Alenka Kraigher, Milan Čižman, Marija Gubina, & Dominique A. Caugant. (2001). Epidemiology of invasive meningococcal infections of children in Slovenia during 1993-1999.. PubMed. 9(2). 79–82. 4 indexed citations
18.
Pokorn, Marko, et al.. (1999). Influence of Increased Macrolide Consumption on Macrolide Resistance of Common Respiratory Pathogens. European Journal of Clinical Microbiology & Infectious Diseases. 18(7). 522–524. 33 indexed citations
19.
Čižman, Milan, et al.. (1997). Antimicrobial Resistance of Invasive Streptococcus pneumoniae in Slovenia, 1993-1995. Scandinavian Journal of Infectious Diseases. 29(3). 251–254. 7 indexed citations
20.
Čižman, Milan, et al.. (1995). Incidence of Haemophilus influenzae meningitis among children in Slovenia.. PubMed. 7 Suppl 4. 145–6. 3 indexed citations

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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