Julia Bär

1.8k total citations
32 papers, 1.3k citations indexed

About

Julia Bär is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Julia Bär has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Cell Biology. Recurrent topics in Julia Bär's work include Neuroscience and Neuropharmacology Research (13 papers), Ovarian cancer diagnosis and treatment (6 papers) and Cellular transport and secretion (5 papers). Julia Bär is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Ovarian cancer diagnosis and treatment (6 papers) and Cellular transport and secretion (5 papers). Julia Bär collaborates with scholars based in Germany, Poland and United States. Julia Bär's co-authors include Marina Mikhaylova, Konrad Sandhoff, Anja Konietzny, William L. Holland, Jose A. Chavez, Scott A. Summers, Oliver Kobler, Michael R. Kreutz, Anna Karpova and Klaus Ferlinz and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Julia Bär

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Bär Germany 18 635 351 322 305 89 32 1.3k
Sigrun Nestel Germany 18 561 0.9× 446 1.3× 160 0.5× 118 0.4× 82 0.9× 27 1.2k
Witold Konopka Poland 15 621 1.0× 340 1.0× 144 0.4× 158 0.5× 37 0.4× 32 1.3k
Vidhya Rangaraju Germany 9 827 1.3× 481 1.4× 250 0.8× 152 0.5× 94 1.1× 10 1.2k
Mari‐Anne Philips Estonia 18 647 1.0× 297 0.8× 189 0.6× 212 0.7× 26 0.3× 39 1.2k
Annie Schweitzer France 18 633 1.0× 323 0.9× 148 0.5× 515 1.7× 34 0.4× 28 1.3k
Gerard M. J. Beaudoin United States 15 694 1.1× 400 1.1× 134 0.4× 287 0.9× 41 0.5× 20 1.3k
Lianne B. Dale Canada 19 1.2k 2.0× 823 2.3× 108 0.3× 311 1.0× 55 0.6× 23 1.6k
Denise M. O. Ramirez United States 19 984 1.5× 640 1.8× 242 0.8× 458 1.5× 57 0.6× 31 1.8k
Mikyoung Park South Korea 16 1.1k 1.8× 1.0k 2.9× 230 0.7× 562 1.8× 62 0.7× 31 1.9k
Derek Wong United States 8 315 0.5× 243 0.7× 425 1.3× 166 0.5× 16 0.2× 8 917

Countries citing papers authored by Julia Bär

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bär

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bär

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Bär. A scholar is included among the top collaborators of Julia Bär 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 Julia Bär. Julia Bär 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.
Bär, Julia, Tomas Fanutza, Lisa Seipold, et al.. (2024). Non-canonical function of ADAM10 in presynaptic plasticity. Cellular and Molecular Life Sciences. 81(1). 342–342.
2.
Gomes, Guilherme M., Julia Bär, Anna Karpova, & Michael R. Kreutz. (2023). A Jacob/nsmf gene knockout does not protect against acute hypoxia- and NMDA-induced excitotoxic cell death. Molecular Brain. 16(1). 23–23. 1 indexed citations
3.
Bär, Julia, et al.. (2022). Direct and indirect effects of tubulin post-translational modifications on microtubule stability: Insights and regulations. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1869(6). 119241–119241. 24 indexed citations
4.
Bär, Julia, et al.. (2021). Jacob, a Synapto-Nuclear Protein Messenger Linking N-methyl-D-aspartate Receptor Activation to Nuclear Gene Expression. Frontiers in Synaptic Neuroscience. 13. 787494–787494. 9 indexed citations
5.
Marques, André R. A., Alessandro Di Spiezio, Joachim Grötzinger, et al.. (2019). Enzyme replacement therapy with recombinant pro-CTSD (cathepsin D) corrects defective proteolysis and autophagy in neuronal ceroid lipofuscinosis. Autophagy. 16(5). 811–825. 77 indexed citations
6.
Seipold, Lisa, Hermann C. Altmeppen, Tomas Koudelka, et al.. (2018). In vivo regulation of the A disintegrin and metalloproteinase 10 (ADAM10) by the tetraspanin 15. Cellular and Molecular Life Sciences. 75(17). 3251–3267. 36 indexed citations
7.
Yuanxiang, PingAn, Julia Bär, Rajeev Raman, et al.. (2017). Posttranslational modification impact on the mechanism by which amyloid‐β induces synaptic dysfunction. EMBO Reports. 18(6). 962–981. 48 indexed citations
8.
Konietzny, Anja, Julia Bär, & Marina Mikhaylova. (2017). Dendritic Actin Cytoskeleton: Structure, Functions, and Regulations. Frontiers in Cellular Neuroscience. 11. 147–147. 106 indexed citations
9.
Bär, Julia, et al.. (2016). Periodic F-actin structures shape the neck of dendritic spines. Scientific Reports. 6(1). 37136–37136. 80 indexed citations
10.
Bilińska, Małgorzata, et al.. (2016). Characteristics of the expression of KAI1/CD82 and PDGFRβ and their impact on glioma progression. Folia Neuropathologica. 3(3). 241–248. 3 indexed citations
11.
Gryboś, Anna & Julia Bär. (2014). The relationships between the immunoexpression of KAI1, MMP-2, MMP-9 and steroid receptors expression in endometrial cancer. Folia Histochemica et Cytobiologica. 52(3). 187–194. 13 indexed citations
12.
Karpova, Anna, Marina Mikhaylova, Sujoy Bera, et al.. (2013). Encoding and Transducing the Synaptic or Extrasynaptic Origin of NMDA Receptor Signals to the Nucleus. Cell. 152(5). 1119–1133. 153 indexed citations
13.
Karpova, Anna, Julia Bär, & Michael R. Kreutz. (2012). Long-Distance Signaling from Synapse to Nucleus via Protein Messengers. Advances in experimental medicine and biology. 970. 355–376. 15 indexed citations
14.
Slattery, David A., Mauro Magoni, Julia Bär, et al.. (2011). Behavioural consequences of two chronic psychosocial stress paradigms: Anxiety without depression. Psychoneuroendocrinology. 37(5). 702–714. 104 indexed citations
15.
Bär, Julia, et al.. (2007). Immunohistochemical Evaluation of Neoepitope Cytokeratin 18 Expression in Relation to p53 Protein in Ovarian Carcinoma. Advances in Clinical and Experimental Medicine. 16(2). 197–204. 1 indexed citations
16.
Chavez, Jose A., William L. Holland, Julia Bär, Konrad Sandhoff, & Scott A. Summers. (2005). Acid Ceramidase Overexpression Prevents the Inhibitory Effects of Saturated Fatty Acids on Insulin Signaling. Journal of Biological Chemistry. 280(20). 20148–20153. 177 indexed citations
17.
Bär, Julia, Thomas Linke, Klaus Ferlinz, et al.. (2001). Molecular analysis of acid ceramidase deficiency in patients with Farber disease. Human Mutation. 17(3). 199–209. 64 indexed citations
18.
Ferlinz, Klaus, Guido Kopal, Katussevani Bernardo, et al.. (2001). Human Acid Ceramidase. Journal of Biological Chemistry. 276(38). 35352–35360. 89 indexed citations
19.
20.

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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