Sonja Lieber

734 total citations
15 papers, 594 citations indexed

About

Sonja Lieber is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sonja Lieber has authored 15 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Oncology. Recurrent topics in Sonja Lieber's work include Peroxisome Proliferator-Activated Receptors (6 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (4 papers). Sonja Lieber is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (4 papers). Sonja Lieber collaborates with scholars based in Germany. Sonja Lieber's co-authors include Rolf Müller, Silke Reinartz, Florian Finkernagel, Sabine Müller‐Brüsselbach, Till Adhikary, Uwe Wagner, Andrea Nist, Thorsten Stiewe, Annika Wortmann and Wibke E. Diederich and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Journal of Medicinal Chemistry.

In The Last Decade

Sonja Lieber

15 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Lieber Germany 11 294 264 168 145 53 15 594
Tim Schumann Germany 5 204 0.7× 260 1.0× 112 0.7× 131 0.9× 57 1.1× 5 463
Ryoichi Asaka Japan 15 297 1.0× 71 0.3× 158 0.9× 88 0.6× 104 2.0× 38 634
Alexander Hermani Germany 8 622 2.1× 185 0.7× 193 1.1× 156 1.1× 18 0.3× 8 847
Chunping Qiu China 19 432 1.5× 128 0.5× 282 1.7× 119 0.8× 124 2.3× 31 741
Haizeng Zhang China 12 316 1.1× 102 0.4× 152 0.9× 266 1.8× 16 0.3× 42 752
Núria Eritja Spain 18 449 1.5× 94 0.4× 202 1.2× 191 1.3× 95 1.8× 40 768
Shinako Araki United States 10 335 1.1× 161 0.6× 166 1.0× 400 2.8× 11 0.2× 14 690
Karen M. Pomeranz United Kingdom 7 471 1.6× 54 0.2× 77 0.5× 146 1.0× 31 0.6× 7 595
John Ojeifo United States 10 416 1.4× 60 0.2× 211 1.3× 250 1.7× 18 0.3× 19 621
Xiao Xiang China 11 226 0.8× 60 0.2× 196 1.2× 247 1.7× 14 0.3× 37 626

Countries citing papers authored by Sonja Lieber

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Lieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Lieber

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Lieber. A scholar is included among the top collaborators of Sonja Lieber 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 Sonja Lieber. Sonja Lieber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Lieber, Sonja, Raimund Dietze, S R Heidemann, et al.. (2025). Basal cell adhesion molecule (BCAM) promotes mesothelial-to-mesenchymal transition and tumor angiogenesis through paracrine signaling. Cell Communication and Signaling. 23(1). 136–136. 2 indexed citations
2.
Lieber, Sonja, Hartmann Raifer, Florian Finkernagel, et al.. (2024). Reciprocal crosstalk between Th17 and mesothelial cells promotes metastasis‐associated adhesion of ovarian cancer cells. Clinical and Translational Medicine. 14(4). e1604–e1604. 14 indexed citations
3.
Lieber, Sonja, Anna M. Sokòl, Andrea Nist, et al.. (2023). The lysophosphatidic acid-regulated signal transduction network in ovarian cancer cells and its role in actomyosin dynamics, cell migration and entosis. Theranostics. 13(6). 1921–1948. 7 indexed citations
4.
Lieber, Sonja, Damiano Librizzi, Corinna U. Keber, et al.. (2023). Basal cell adhesion molecule promotes metastasis‐associated processes in ovarian cancer. Clinical and Translational Medicine. 13(1). e1176–e1176. 13 indexed citations
5.
Reinartz, Silke, Sonja Lieber, Dominique T. Brandt, et al.. (2018). Cell type‐selective pathways and clinical associations of lysophosphatidic acid biosynthesis and signaling in the ovarian cancer microenvironment. Molecular Oncology. 13(2). 185–201. 55 indexed citations
6.
Lieber, Sonja, Silke Reinartz, Hartmann Raifer, et al.. (2018). Prognosis of ovarian cancer is associated with effector memory CD8+ T cell accumulation in ascites, CXCL9 levels and activation-triggered signal transduction in T cells. OncoImmunology. 7(5). e1424672–e1424672. 69 indexed citations
7.
Adhikary, Till, Annika Wortmann, Florian Finkernagel, et al.. (2017). Interferon signaling in ascites-associated macrophages is linked to a favorable clinical outcome in a subgroup of ovarian carcinoma patients. BMC Genomics. 18(1). 243–243. 47 indexed citations
8.
Reinartz, Silke, Katrin S. Reiners, Sonja Lieber, et al.. (2017). Soluble NKG2D ligands in the ovarian cancer microenvironment are associated with an adverse clinical outcome and decreased memory effector T cells independent of NKG2D downregulation. OncoImmunology. 6(9). e1339854–e1339854. 34 indexed citations
9.
Finkernagel, Florian, Silke Reinartz, Sonja Lieber, et al.. (2016). The transcriptional signature of human ovarian carcinoma macrophages is associated with extracellular matrix reorganization. Oncotarget. 7(46). 75339–75352. 71 indexed citations
10.
Lieber, Sonja, Tim Schumann, Yvonne Schober, et al.. (2016). Design and Synthesis of Highly Active Peroxisome Proliferator‐Activated Receptor (PPAR) β/δ Inverse Agonists with Prolonged Cellular Activity. ChemMedChem. 11(5). 488–496. 9 indexed citations
11.
Adhikary, Till, Annika Wortmann, Tim Schumann, et al.. (2015). The transcriptional PPARβ/δ network in human macrophages defines a unique agonist-induced activation state. Nucleic Acids Research. 43(10). 5033–5051. 66 indexed citations
12.
Schumann, Tim, Till Adhikary, Annika Wortmann, et al.. (2015). Deregulation of PPARβ/δ target genes in tumor-associated macrophages by fatty acid ligands in the ovarian cancer microenvironment. Oncotarget. 6(15). 13416–13433. 88 indexed citations
13.
Lieber, Sonja, Florian Finkernagel, Wolfgang Meißner, et al.. (2014). The Inverse Agonist DG172 Triggers a PPARβ/δ-Independent Myeloid Lineage Shift and Promotes GM-CSF/IL-4-Induced Dendritic Cell Differentiation. Molecular Pharmacology. 87(2). 162–173. 5 indexed citations
14.
Adhikary, Till, Dominique T. Brandt, Kerstin Kaddatz, et al.. (2012). Inverse PPARβ/δ agonists suppress oncogenic signaling to the ANGPTL4 gene and inhibit cancer cell invasion. Oncogene. 32(44). 5241–5252. 75 indexed citations
15.
Lieber, Sonja, Wolfgang Meißner, Till Adhikary, et al.. (2012). (Z)-2-(2-Bromophenyl)-3-{[4-(1-methyl-piperazine)amino]phenyl}acrylonitrile (DG172): An Orally Bioavailable PPARβ/δ-Selective Ligand with Inverse Agonistic Properties. Journal of Medicinal Chemistry. 55(6). 2858–2868. 39 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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