Marija Vrljic

2.1k citations
19 papers · 1.7k indexed · h-index 17
Topics
Lipid Membrane Structure and Behavior (14 papers)Cellular transport and secretion (9 papers)Neuroscience and Neuropharmacology Research (4 papers)
Partner nations
United StatesJapan

In The Last Decade

Marija Vrljic

19 papers receiving 1.7k citations

Peers

Marija Vrljic
Comparison fields: 5 of 91
  • Molecular Biology 1.3k
  • Cell Biology 598
  • Biophysics 261
  • Cellular and Molecular Neuroscience 223
  • Atomic and Molecular Physics, and Optics 214
Replace Ankur Jain with:
Ankur Jain United States
K. Murase Japan
Chieko Nakada Japan
Johannes Schöneberg Germany
Rahul Chadda United States
Adai Colom Switzerland
Tomomi Tani Japan
Jed C. Macosko United States
Janet R. Pfeiffer United States
Roop Mallik India
Marija Vrljic relative to Ankur Jain United States Ankur Jain's profile →
Citations per field
00.5×3.9×
Ankur Jain · 1×
Citations per year

Countries citing papers authored by Marija Vrljic

Since Specialization
Citations

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

Fields of papers citing papers by Marija Vrljic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marija Vrljic

This figure shows the co-authorship network connecting the top 25 collaborators of Marija Vrljic. A scholar is included among the top collaborators of Marija Vrljic 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 Vrljic. Marija Vrljic 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
1 137
2 133
3 20
4 1
5 27
6 1
7 60
8 79
9 77
10 158
11 91
12 41
13 26
14 129
15 88
16 98
17 221
18 197
19 114

About Marija Vrljic

Marija Vrljic is a scholar working on Biophysics, Cell Biology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (14 papers), Cellular transport and secretion (9 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biophysics (261 citations), Cell Biology (598 citations) and Structural Biology (46 citations). Marija Vrljic has collaborated with scholars based in United States and Japan. Frequent co-authors include Harden M. McConnell, Axel T. Brünger, Stefanie Y. Nishimura, W. E. Moerner, Steven Chu, Pavel Strop, Keith Weninger, Sophie Brasselet, Peter M. Kasson and Ucheor B. Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

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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