Marija V. Pergal

1.3k citations
73 papers · 1.0k indexed · h-index 18
Topics
Polymer composites and self-healing (24 papers)Synthesis and properties of polymers (12 papers)Dendrimers and Hyperbranched Polymers (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEElectrochimica Acta
Partner nations
SerbiaCzechiaRussia

In The Last Decade

Marija V. Pergal

71 papers receiving 1.0k citations

Peers

Marija V. Pergal
Comparison fields: 5 of 97
  • Polymers and Plastics 450
  • Organic Chemistry 246
  • Materials Chemistry 222
  • Biomedical Engineering 159
  • Biomaterials 157
Replace Li‐Huei Lin with:
Li‐Huei Lin Taiwan
Vesna Antić Serbia
Nadia Salih Malaysia
Ji Eun Lee South Korea
Muhammad Kaleem Khosa Pakistan
Reinaldo Ruggiero Brazil
Luca Zoia Italy
Beata Podkościelna Poland
Guozhen Wang China
Ievgen V. Pylypchuk Sweden
Marija V. Pergal relative to Li‐Huei Lin Taiwan Li‐Huei Lin's profile →
Citations per field
00.5×4.4×
Li‐Huei Lin · 1×
Citations per year

Countries citing papers authored by Marija V. Pergal

Since Specialization
Citations

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

Fields of papers citing papers by Marija V. Pergal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marija V. Pergal. 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 Marija V. Pergal. The network helps show where Marija V. Pergal may publish in the future.

Co-authorship network of co-authors of Marija V. Pergal

This figure shows the co-authorship network connecting the top 25 collaborators of Marija V. Pergal. A scholar is included among the top collaborators of Marija V. Pergal 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 Marija V. Pergal. Marija V. Pergal 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
#WorkIndexed citations
1 3
2 0
3 3
4 1
5 1
6 1
7 1
8 1
9 0
10 15
11 8
12 2
13 7
14 6
15 24
16 13
17 17
18 32
19 51
20 11

About Marija V. Pergal

Marija V. Pergal is a scholar working on Polymers and Plastics, Organic Chemistry and Electrochemistry, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Polymer composites and self-healing (24 papers), Synthesis and properties of polymers (12 papers) and Dendrimers and Hyperbranched Polymers (8 papers). The work is most often cited by research in Polymers and Plastics (450 citations), Biomaterials (157 citations) and Electrochemistry (69 citations). Marija V. Pergal has collaborated with scholars based in Serbia, Czechia and Russia. Frequent co-authors include Sanja Ostojić, Jasna Djonlagić, Milena Špı́rková, Vesna Antić, Jasna V. Džunuzović, Rafał Poręba, Branka B. Petković, Dalibor Stanković, Ivan S. Stefanović and Gordana Tovilović. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Electrochimica Acta.

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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