Višnja Šverko

972 total citations
40 papers, 808 citations indexed

About

Višnja Šverko is a scholar working on Molecular Biology, Behavioral Neuroscience and Physiology. According to data from OpenAlex, Višnja Šverko has authored 40 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Behavioral Neuroscience and 11 papers in Physiology. Recurrent topics in Višnja Šverko's work include Stress Responses and Cortisol (11 papers), Biochemical effects in animals (7 papers) and Neuropeptides and Animal Physiology (7 papers). Višnja Šverko is often cited by papers focused on Stress Responses and Cortisol (11 papers), Biochemical effects in animals (7 papers) and Neuropeptides and Animal Physiology (7 papers). Višnja Šverko collaborates with scholars based in Croatia, Italy and Austria. Višnja Šverko's co-authors include Tihomir Balog, Sandra Sobočanec, Tatjana Marotti, Borka Kušić, Tanja Marotti, Gordana Rusak, Saša Likić, Ana Šarić, Ana Šarić and Marija Poljak‐Blaži and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Annals of the New York Academy of Sciences and Diabetologia.

In The Last Decade

Višnja Šverko

39 papers receiving 761 citations

Peers

Višnja Šverko
Comparison fields: 5 of 103
  • Insect Science 286
  • Molecular Biology 142
  • Plant Science 133
  • Food Science 125
  • Biochemistry 120
Replace Sandra Sobočanec with:
Sandra Sobočanec Croatia
Tihomir Balog Croatia
Antonio J. Rodrı́guez-Malaver Venezuela
Tatjana Marotti Croatia
Nurten Özçelik Türkiye
J. Sattler Brazil
S. B. Vohora India
M’Hammed Saïd El Kebbaj France
Seock‐Yeon Hwang South Korea
İsmet Yılmaz Türkiye
Sandra Sobočanec Croatia View profile →
Citations per field, relative to Višnja Šverko
Višnja Šverko · 1×
Citations per year, relative to Višnja Šverko
Višnja Šverko · 1×

Countries citing papers authored by Višnja Šverko

Since Specialization
Citations

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

Fields of papers citing papers by Višnja Šverko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Višnja Šverko

This figure shows the co-authorship network connecting the top 25 collaborators of Višnja Šverko. A scholar is included among the top collaborators of Višnja Šverko 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 Višnja Šverko. Višnja Šverko 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
# Work Indexed citations
1 14
2 13
3 84
4 135
5 147
6 6
7 10
8
Natural Micronised Clinoptilolite and Clinoptilolite Mixtures with Urtica dioica L. Extract as Possible Antioxidants
10
9 32
10 33
11 14
12 2
13 1
14
The effect of Met-enkephalin (MENK) on lipid peroxidation in stress
1
15 2
16 2
17 4
18 6
19 1
20
Sialic acid content of adipose tissue in diabetic rats
1

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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