Kathrin Barth

1.2k total citations
38 papers, 982 citations indexed

About

Kathrin Barth is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Kathrin Barth has authored 38 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Cell Biology and 12 papers in Physiology. Recurrent topics in Kathrin Barth's work include Caveolin-1 and cellular processes (13 papers), Adenosine and Purinergic Signaling (12 papers) and Neonatal Respiratory Health Research (7 papers). Kathrin Barth is often cited by papers focused on Caveolin-1 and cellular processes (13 papers), Adenosine and Purinergic Signaling (12 papers) and Neonatal Respiratory Health Research (7 papers). Kathrin Barth collaborates with scholars based in Germany, United States and United Kingdom. Kathrin Barth's co-authors include Michael Kasper, Mirko H. H. Schmidt, Annett Linge, Martin Witt, Antje Augstein, Andreas Guenther, Udo Krause‐Buchholz, David Powell, Antje Hähner and Gisela Mosig and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Genetics.

In The Last Decade

Kathrin Barth

37 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathrin Barth Germany 18 392 227 189 133 116 38 982
Lucia Seminario‐Vidal United States 19 415 1.1× 142 0.6× 223 1.2× 70 0.5× 131 1.1× 77 1.4k
Antje K. Huebner Germany 15 808 2.1× 84 0.4× 140 0.7× 620 4.7× 253 2.2× 17 1.7k
Hideki Tsumura Japan 14 353 0.9× 58 0.3× 68 0.4× 81 0.6× 140 1.2× 42 784
Heba I. Diab United States 12 795 2.0× 50 0.2× 288 1.5× 358 2.7× 224 1.9× 12 1.5k
Ilia A. Yamboliev United States 21 1.1k 2.9× 133 0.6× 87 0.5× 278 2.1× 377 3.3× 33 1.6k
Wang Zheng China 19 777 2.0× 145 0.6× 45 0.2× 108 0.8× 173 1.5× 41 1.4k
Yuemin Tian Germany 18 991 2.5× 121 0.5× 37 0.2× 89 0.7× 173 1.5× 30 1.3k
Mark Lal Sweden 17 754 1.9× 64 0.3× 35 0.2× 110 0.8× 93 0.8× 27 1.2k
Magali Savignac France 22 565 1.4× 47 0.2× 77 0.4× 79 0.6× 269 2.3× 40 1.3k
Qing Chang China 17 563 1.4× 54 0.2× 64 0.3× 50 0.4× 119 1.0× 79 1.3k

Countries citing papers authored by Kathrin Barth

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Barth

This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Barth. A scholar is included among the top collaborators of Kathrin Barth 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 Kathrin Barth. Kathrin Barth 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.
Schmidt, Mirko H. H., et al.. (2023). c-Cbl Regulates Murine Subventricular Zone-Derived Neural Progenitor Cells in Dependence of the Epidermal Growth Factor Receptor. Cells. 12(19). 2400–2400. 1 indexed citations
2.
Barth, Kathrin, Frank Bicker, Konstantin Radyushkin, et al.. (2023). EGFL7 loss correlates with increased VEGF-D expression, upregulating hippocampal adult neurogenesis and improving spatial learning and memory. Cellular and Molecular Life Sciences. 80(2). 54–54. 7 indexed citations
3.
Ziegler, Matthias, et al.. (2022). Fyn-kinase and caveolin-1 in the alveolar epithelial junctional adherence complex contribute to the early stages of pulmonary fibrosis. European Journal of Pharmaceutical Sciences. 175. 106236–106236. 6 indexed citations
4.
Barth, Kathrin, et al.. (2019). Neurodegeneration and Neuro-Regeneration—Alzheimer’s Disease and Stem Cell Therapy. International Journal of Molecular Sciences. 20(17). 4272–4272. 96 indexed citations
5.
Barth, Kathrin, et al.. (2016). P2X7R-dependent regulation of glycogen synthase kinase 3β and claudin-18 in alveolar epithelial type I cells of mice lung. Histochemistry and Cell Biology. 146(6). 757–768. 11 indexed citations
6.
Deußen, Andreas, Birgit Zatschler, Bianca Müller, et al.. (2015). A novel role of endothelium in activation of latent pro-membrane type 1 MMP and pro-MMP-2 in rat aorta. Cardiovascular Research. 109(3). 409–418. 18 indexed citations
7.
Augstein, Antje, et al.. (2014). Effect of P2X7 Receptor Knockout on AQP-5 Expression of Type I Alveolar Epithelial Cells. PLoS ONE. 9(6). e100282–e100282. 15 indexed citations
8.
Perike, Srikanth, et al.. (2014). Phospho-NHE3 forms membrane patches and interacts with beta-actin to sense and maintain constant direction during cell migration. Experimental Cell Research. 324(1). 13–29. 15 indexed citations
9.
10.
Linge, Annett, Paula Meleady, Michael Henry, et al.. (2010). Bleomycin treatment of A549 human lung cancer cells results in association of MGr1-Ag and caveolin-1 in lipid rafts. The International Journal of Biochemistry & Cell Biology. 43(1). 98–105. 11 indexed citations
11.
Barth, Kathrin, et al.. (2009). T1α/Podoplanin Shows Raft-Associated Distribution in Mouse Lung Alveolar Epithelial E10 Cells. Cellular Physiology and Biochemistry. 25(1). 103–112. 14 indexed citations
12.
Barth, Kathrin & Cinzia Volonté. (2008). Membrane compartments and purinergic signalling. FEBS Journal. 276(2). 317–317. 4 indexed citations
13.
Barth, Kathrin & Michael Kasper. (2008). Membrane compartments and purinergic signalling: occurrence and function of P2X receptors in lung. FEBS Journal. 276(2). 341–353. 20 indexed citations
14.
Linge, Annett, et al.. (2007). Downregulation of caveolin-1 affects bleomycin-induced growth arrest and cellular senescence in A549 cells. The International Journal of Biochemistry & Cell Biology. 39(10). 1964–1974. 44 indexed citations
15.
Linge, Annett, Nobuhiro Morishima, Michael Kasper, & Kathrin Barth. (2007). Bleomycin induces caveolin-1 and -2 expression in epithelial lung cancer A549 cells.. PubMed. 27(3A). 1343–51. 16 indexed citations
16.
Koslowski, Roland, et al.. (2005). Apoptosis and release of CD44s in bleomycin‐treated L132 cells. Journal of Cellular Biochemistry. 95(6). 1146–1156. 5 indexed citations
17.
Koslowski, Roland, Kathrin Barth, Antje Augstein, et al.. (2004). A new rat type I-like alveolar epithelial cell line R3/1: bleomycin effects on caveolin expression. Histochemistry and Cell Biology. 121(6). 509–19. 47 indexed citations
18.
Krause‐Buchholz, Udo, et al.. (2004). Saccharomyces cerevisiae translational activator Cbs2p is associated with mitochondrial ribosomes. Current Genetics. 46(1). 20–28. 17 indexed citations
19.
Barth, Kathrin, et al.. (2004). Distribution of caveolin-1 and connexin43 in normal and injured alveolar epithelial R3/1 cells. Histochemistry and Cell Biology. 123(3). 239–247. 21 indexed citations
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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