Nina Vardjan

2.6k citations
58 papers · 1.9k indexed · h-index 26
Topics
Neuroscience and Neuropharmacology Research (23 papers)Cellular transport and secretion (22 papers)Lipid Membrane Structure and Behavior (16 papers)

In The Last Decade

Nina Vardjan

57 papers receiving 1.9k citations

Peers

Nina Vardjan
Comparison fields: 5 of 100
  • Molecular Biology 952
  • Cellular and Molecular Neuroscience 761
  • Neurology 653
  • Physiology 498
  • Cell Biology 374
Replace I. Lorena Arancibia‐Cárcamo with:
I. Lorena Arancibia‐Cárcamo United Kingdom
Davide Pozzi Italy
Shaoli Che United States
Jonathan Vinet Italy
Massimiliano Stagi United States
Nicolas Liaudet Switzerland
Pascal Ezan France
Keimpe Wierda Belgium
Okiru Komine Japan
Tommy L. Lewis United States
Nina Vardjan relative to I. Lorena Arancibia‐Cárcamo United Kingdom I. Lorena Arancibia‐Cárcamo's profile →
Citations per field
00.5×1.5×
I. Lorena Arancibia‐Cárcamo · 1×
Citations per year

Countries citing papers authored by Nina Vardjan

Since Specialization
Citations

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

Fields of papers citing papers by Nina Vardjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Vardjan

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Vardjan. A scholar is included among the top collaborators of Nina Vardjan 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 Nina Vardjan. Nina Vardjan 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 1
2 4
3 6
4 13
5 53
6 70
7 30
8 23
9 60
10 42
11 43
12 56
13 17
14 48
15 15
16 15
17 3
18 95
19 35
20 4

About Nina Vardjan

Nina Vardjan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cell Biology, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Cellular transport and secretion (22 papers) and Lipid Membrane Structure and Behavior (16 papers). The work is most often cited by research in Neurology (653 citations), Biological Psychiatry (146 citations) and Developmental Neuroscience (175 citations). Nina Vardjan has collaborated with scholars based in Slovenia, United Kingdom and Spain. Frequent co-authors include Robert Zorec, Marko Kreft, Alexei Verkhratsky, Vladimir Parpura, Anemari Horvat, Jernej Jorgačevski, Matjaž Stenovec, Maja Potokar, Helena H. Chowdhury and Igor Križaj. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Physiology.

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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