Mario Perković

1.6k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
HIV Research and Treatment (8 papers)HIV/AIDS drug development and treatment (5 papers)RNA Interference and Gene Delivery (4 papers)

In The Last Decade

Mario Perković

19 papers receiving 1.2k citations

Hit Papers

Self-Amplifying RNA Vaccines Give Equivalent Protection a...20172026202020232017100200300

Peers

Mario Perković
Comparison fields: 5 of 76
  • Molecular Biology 758
  • Infectious Diseases 388
  • Immunology 291
  • Virology 274
  • Epidemiology 266
Replace Marina Lušić with:
Marina Lušić Italy
Jens von Einem Germany
Fabien P. Blanchet France
Thomas Wilk Germany
Simone Hoppe Germany
Erika J. Mancini United Kingdom
Abhilash I. Chiramel United States
Thorsten G. Müller Germany
Yoshimasa Takizawa Japan
Tanay M. Desai United States
Mario Perković relative to Marina Lušić Italy Marina Lušić's profile →
Citations per field
00.5×1.5×
Marina Lušić · 1×
Citations per year

Countries citing papers authored by Mario Perković

Since Specialization
Citations

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

Fields of papers citing papers by Mario Perković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Perković

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2 16
3 23
4 16
5 3
6 2
7 139
8
Self-Amplifying RNA Vaccines Give Equivalent Protection against Influenza to mRNA Vaccines but at Much Lower Dosesbreakdown →
365
9 53
10 28
11 13
12 71
13 38
14 37
15 2
16 38
17 38
18 61
19 296

About Mario Perković

Mario Perković is a scholar working on Virology, Structural Biology and Infectious Diseases, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Virology (274 citations), Structural Biology (49 citations) and Infectious Diseases (388 citations). Mario Perković has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Klaus Cichutek, Carsten Münk, Tim Beißert, Uğur Şahin, Stephanie Erbar, Annette B. Vogel, Gerald G. Schumann, Matthias Hamdorf, Egbert Flory and Johannes Löwer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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