Maja Potokar

2.8k total citations
58 papers, 2.2k citations indexed

About

Maja Potokar is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maja Potokar has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Cell Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maja Potokar's work include Cellular transport and secretion (16 papers), Lipid Membrane Structure and Behavior (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). Maja Potokar is often cited by papers focused on Cellular transport and secretion (16 papers), Lipid Membrane Structure and Behavior (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). Maja Potokar collaborates with scholars based in Slovenia, Germany and United States. Maja Potokar's co-authors include Robert Zorec, Marko Kreft, Jernej Jorgačevski, Matjaž Stenovec, Tina Pangršič, Milos Pekny, Sonja Grilc, Philip G. Haydon, Li-Zhen Li and Daniel Andersson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Maja Potokar

57 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maja Potokar Slovenia 29 1.0k 746 618 497 350 58 2.2k
Katherine Conant United States 37 1.3k 1.3× 920 1.2× 902 1.5× 217 0.4× 465 1.3× 78 4.0k
Sergio M. Gloor Switzerland 26 1.4k 1.4× 462 0.6× 415 0.7× 273 0.5× 193 0.6× 43 2.5k
Rika Suzuki-Migishima Japan 14 2.1k 2.1× 527 0.7× 269 0.4× 872 1.8× 696 2.0× 17 4.5k
Kenneth S. Shindler United States 32 1.8k 1.8× 552 0.7× 446 0.7× 170 0.3× 294 0.8× 101 3.8k
Francesco Girolamo Italy 30 1.0k 1.0× 316 0.4× 563 0.9× 241 0.5× 265 0.8× 103 2.6k
Hitoshi Osaka Japan 37 3.0k 3.0× 980 1.3× 350 0.6× 724 1.5× 510 1.5× 235 5.0k
Tateki Kikuchi Japan 23 1.8k 1.7× 1.6k 2.1× 450 0.7× 330 0.7× 503 1.4× 80 3.5k
Jernej Jorgačevski Slovenia 24 809 0.8× 359 0.5× 267 0.4× 548 1.1× 274 0.8× 57 1.4k
Kazunori Toida Japan 30 911 0.9× 970 1.3× 397 0.6× 400 0.8× 234 0.7× 64 2.9k
Naichen Yu United States 21 1.2k 1.1× 503 0.7× 390 0.6× 193 0.4× 220 0.6× 27 2.4k

Countries citing papers authored by Maja Potokar

Since Specialization
Citations

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

Fields of papers citing papers by Maja Potokar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Potokar

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Potokar. A scholar is included among the top collaborators of Maja Potokar 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 Maja Potokar. Maja Potokar 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
1.
Potokar, Maja, Jernej Jorgačevski, Robert Zorec, et al.. (2025). Mitochondrial connexin 43 modulates metabolic stress adaptation in glioma cell lines. Cell Communication and Signaling. 23(1). 512–512.
2.
Torrisi, Filippo, Lucia Longhitano, Sebastiano Giallongo, et al.. (2025). Purine metabolism rewiring improves glioblastoma susceptibility to temozolomide treatment. Cell Death and Disease. 16(1). 336–336. 1 indexed citations
3.
Castañón, M, Irmgard Fischer, Giuseppe Broggi, et al.. (2024). Plectin plays a role in the migration and volume regulation of astrocytes: a potential biomarker of glioblastoma. Journal of Biomedical Science. 31(1). 14–14. 9 indexed citations
4.
5.
Potokar, Maja, Robert Zorec, & Jernej Jorgačevski. (2023). Astrocytes Are a Key Target for Neurotropic Viral Infection. Cells. 12(18). 2307–2307. 11 indexed citations
6.
Jorgačevski, Jernej & Maja Potokar. (2023). Immune Functions of Astrocytes in Viral Neuroinfections. International Journal of Molecular Sciences. 24(4). 3514–3514. 26 indexed citations
7.
Potokar, Maja, Miša Korva, Katarina Resman Rus, et al.. (2022). In human astrocytes neurotropic flaviviruses increase autophagy, yet their replication is autophagy-independent. Cellular and Molecular Life Sciences. 79(11). 566–566. 5 indexed citations
8.
Jorgačevski, Jernej, et al.. (2019). ZIKV Strains Differentially Affect Survival of Human Fetal Astrocytes versus Neurons and Traffic of ZIKV-Laden Endocytotic Compartments. Scientific Reports. 9(1). 8069–8069. 34 indexed citations
9.
Potokar, Maja, et al.. (2017). AQP4e-Based Orthogonal Arrays Regulate Rapid Cell Volume Changes in Astrocytes. Journal of Neuroscience. 37(44). 10748–10756. 36 indexed citations
10.
Potokar, Maja, et al.. (2012). Rab4 and Rab5 GTPase are required for directional mobility of endocytic vesicles in astrocytes. Glia. 60(4). 594–604. 23 indexed citations
11.
Stenovec, Matjaž, Milena Milošević, Maja Potokar, et al.. (2011). Amyotrophic lateral sclerosis immunoglobulins G enhance the mobility of Lysotracker-labelled vesicles in cultured rat astrocytes. Acta Physiologica. 203(4). 457–471. 24 indexed citations
12.
Potokar, Maja, Marko Kreft, Soyoung Lee, et al.. (2009). Trafficking of astrocytic vesicles in hippocampal slices. Biochemical and Biophysical Research Communications. 390(4). 1192–1196. 23 indexed citations
13.
Kreft, Marko, Maja Potokar, Matjaž Stenovec, Tina Pangršič, & Robert Zorec. (2009). Regulated Exocytosis and Vesicle Trafficking in Astrocytes. Annals of the New York Academy of Sciences. 1152(1). 30–42. 34 indexed citations
14.
Pangršič, Tina, Maja Potokar, Matjaž Stenovec, et al.. (2007). Exocytotic Release of ATP from Cultured Astrocytes. Journal of Biological Chemistry. 282(39). 28749–28758. 199 indexed citations
15.
Potokar, Maja, Matjaž Stenovec, Marko Kreft, Mateja Erdani Kreft, & Robert Zorec. (2007). Stimulation inhibits the mobility of recycling peptidergic vesicles in astrocytes. Glia. 56(2). 135–144. 51 indexed citations
16.
Kreft, Marko, Matjaž Stenovec, Marjan Slak Rupnik, et al.. (2004). Properties of Ca2+‐dependent exocytosis in cultured astrocytes. Glia. 46(4). 437–445. 140 indexed citations
17.
Kreft, Marko, Irina Milisav, Maja Potokar, & Robert Zorec. (2003). Automated high through-put colocalization analysis of multichannel confocal images. Computer Methods and Programs in Biomedicine. 74(1). 63–67. 40 indexed citations
18.
Basketter, David A., et al.. (1997). Skin sensitization thresholds: determination in predictive models. Food and Chemical Toxicology. 35(3-4). 417–425. 24 indexed citations
19.
Potokar, Maja, et al.. (1983). Zeolithe A—A phosphate substitute for detergents: Toxicological investigation. Food and Chemical Toxicology. 21(2). 209–220. 15 indexed citations
20.
Potokar, Maja, et al.. (1976). Bronidox, ein neues Konservierungsmittel für die Kosmetik Eigenschaften und toxikologisch‐dermatologische Prüfergebnisse. Fette Seifen Anstrichmittel. 78(7). 269–276. 6 indexed citations

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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