Cornelia Tölg

2.7k total citations
38 papers, 2.2k citations indexed

About

Cornelia Tölg is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Cornelia Tölg has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Cell Biology and 9 papers in Immunology and Allergy. Recurrent topics in Cornelia Tölg's work include Proteoglycans and glycosaminoglycans research (21 papers), Glycosylation and Glycoproteins Research (12 papers) and Cell Adhesion Molecules Research (9 papers). Cornelia Tölg is often cited by papers focused on Proteoglycans and glycosaminoglycans research (21 papers), Glycosylation and Glycoproteins Research (12 papers) and Cell Adhesion Molecules Research (9 papers). Cornelia Tölg collaborates with scholars based in Canada, United States and United Kingdom. Cornelia Tölg's co-authors include Eva A. Turley, Martin Hofmann‐Apitius, Peter Herrlich, James B. McCarthy, Helmut Ponta, Sara R. Hamilton, Patrick G. Telmer, Mina J. Bissell, W. Rudy and Ursula Günthert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Cornelia Tölg

38 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia Tölg Canada 21 1.3k 1.3k 432 403 235 38 2.2k
Coert Margadant Netherlands 23 902 0.7× 749 0.6× 746 1.7× 278 0.7× 185 0.8× 39 2.1k
Sarah A. Wilcox‐Adelman United States 15 1.0k 0.7× 1.0k 0.8× 303 0.7× 246 0.6× 218 0.9× 16 1.9k
Silvia Goldoni United States 16 947 0.7× 813 0.6× 205 0.5× 238 0.6× 214 0.9× 24 1.8k
Anne Kultti Finland 13 991 0.7× 901 0.7× 153 0.4× 787 2.0× 315 1.3× 15 2.0k
David J. Mahoney United Kingdom 20 1.1k 0.8× 867 0.7× 317 0.7× 189 0.5× 136 0.6× 22 2.1k
Hannu Järveläinen Finland 26 1.2k 0.9× 1.2k 0.9× 472 1.1× 234 0.6× 557 2.4× 60 2.6k
Alexander Nyström Germany 34 1.1k 0.8× 1.5k 1.2× 701 1.6× 210 0.5× 261 1.1× 89 3.0k
Meenakshi A. Chellaiah United States 32 1.9k 1.4× 755 0.6× 497 1.2× 1.0k 2.5× 475 2.0× 55 3.2k
Norihisa Matsuyoshi Japan 26 2.9k 2.1× 1.2k 0.9× 410 0.9× 540 1.3× 252 1.1× 43 4.0k
Daniela G. Seidler Germany 26 1.2k 0.9× 1.1k 0.8× 242 0.6× 155 0.4× 227 1.0× 50 1.9k

Countries citing papers authored by Cornelia Tölg

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Tölg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Tölg

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Tölg. A scholar is included among the top collaborators of Cornelia Tölg 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 Cornelia Tölg. Cornelia Tölg 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.
Aitken, Karen, Annette Schröder, Frank J. Penna, et al.. (2024). Epigenetic insights to pediatric uropathology: Celebrating the fundamental biology vision of Tony Khoury. Journal of Pediatric Urology. 20. S43–S57. 2 indexed citations
2.
Tölg, Cornelia, et al.. (2023). RHAMM regulates MMTV-PyMT-induced lung metastasis by connecting STING-dependent DNA damage sensing to interferon/STAT1 pro-apoptosis signaling. Breast Cancer Research. 25(1). 74–74. 7 indexed citations
3.
Tölg, Cornelia, Muhan Liu, Patrick G. Telmer, et al.. (2020). Cell-specific expression of the transcriptional regulator RHAMM provides a timing mechanism that controls appropriate wound re-epithelialization. Journal of Biological Chemistry. 295(16). 5427–5448. 16 indexed citations
4.
Liu, Muhan, Cornelia Tölg, & Eva A. Turley. (2019). Dissecting the Dual Nature of Hyaluronan in the Tumor Microenvironment. Frontiers in Immunology. 10. 947–947. 123 indexed citations
5.
Tölg, Cornelia, et al.. (2018). A truncated RHAMM protein for discovering novel therapeutic peptides. Bioorganic & Medicinal Chemistry. 26(18). 5194–5203. 10 indexed citations
6.
Tölg, Cornelia, Han Yuan, Sarah Flynn, et al.. (2017). Hyaluronan modulates growth factor induced mammary gland branching in a size dependent manner. Matrix Biology. 63. 117–132. 47 indexed citations
7.
Aitken, Karen, Frank J. Penna, Jiaxin Jiang, et al.. (2016). Uropathogenic E.coli (UPEC) Infection Induces Proliferation through Enhancer of Zeste Homologue 2 (EZH2). PLoS ONE. 11(3). e0149118–e0149118. 13 indexed citations
8.
Veiseh, Mandana, Cornelia Tölg, Sajad Bahrami, et al.. (2015). Uncovering the dual role of RHAMM as an HA receptor and a regulator of CD44 expression in RHAMM-expressing mesenchymal progenitor cells. Frontiers in Cell and Developmental Biology. 3. 63–63. 19 indexed citations
9.
Symonette, Caitlin, et al.. (2014). Hyaluronan-Phosphatidylethanolamine Polymers Form Pericellular Coats on Keratinocytes and Promote Basal Keratinocyte Proliferation. BioMed Research International. 2014. 1–14. 17 indexed citations
10.
Tölg, Cornelia, Patrick G. Telmer, & Eva A. Turley. (2014). Specific Sizes of Hyaluronan Oligosaccharides Stimulate Fibroblast Migration and Excisional Wound Repair. PLoS ONE. 9(2). e88479–e88479. 99 indexed citations
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Jiang, Jiaxin, Karen Aitken, Nicole Zhang, et al.. (2013). Phenotypic Switching Induced by Damaged Matrix Is Associated with DNA Methyltransferase 3A (DNMT3A) Activity and Nuclear Localization in Smooth Muscle Cells (SMC). PLoS ONE. 8(8). e69089–e69089. 22 indexed citations
14.
Tölg, Cornelia, Sara R. Hamilton, Natalia Akentieva, et al.. (2012). A RHAMM Mimetic Peptide Blocks Hyaluronan Signaling and Reduces Inflammation and Fibrogenesis in Excisional Skin Wounds. American Journal Of Pathology. 181(4). 1250–1270. 99 indexed citations
15.
Tölg, Cornelia, Nesrin Sabha, Rene Cortese, et al.. (2011). Uropathogenic E. coli infection provokes epigenetic downregulation of CDKN2A (p16INK4A) in uroepithelial cells. Laboratory Investigation. 91(6). 825–836. 66 indexed citations
16.
Tölg, Cornelia, Sara R. Hamilton, Jing Zhang, et al.. (2010). RHAMM Promotes Interphase Microtubule Instability and Mitotic Spindle Integrity through MEK1/ERK1/2 Activity. Journal of Biological Chemistry. 285(34). 26461–26474. 78 indexed citations
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Hamilton, Sara R., Cornelia Tölg, Mandana Veiseh, et al.. (2007). The Hyaluronan Receptors CD44 and Rhamm (CD168) Form Complexes with ERK1,2 That Sustain High Basal Motility in Breast Cancer Cells. Journal of Biological Chemistry. 282(22). 16667–16680. 211 indexed citations
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Tölg, Cornelia, Martin Hofmann‐Apitius, Peter Herrlich, & Helmut Ponta. (1993). Splicing choice from ten variant exons establishes CD44 variability. Nucleic Acids Research. 21(5). 1225–1229. 255 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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