Gerd Bendas

4.2k total citations
118 papers, 3.3k citations indexed

About

Gerd Bendas is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Gerd Bendas has authored 118 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 37 papers in Oncology and 33 papers in Immunology and Allergy. Recurrent topics in Gerd Bendas's work include Cell Adhesion Molecules Research (33 papers), Proteoglycans and glycosaminoglycans research (22 papers) and Lipid Membrane Structure and Behavior (15 papers). Gerd Bendas is often cited by papers focused on Cell Adhesion Molecules Research (33 papers), Proteoglycans and glycosaminoglycans research (22 papers) and Lipid Membrane Structure and Behavior (15 papers). Gerd Bendas collaborates with scholars based in Germany, Switzerland and Netherlands. Gerd Bendas's co-authors include Martin Schlesinger, Lubor Borsig, Ulrich Rothe, Udo Bakowsky, J. Vogel, Annett Krause, Torben Moos, Claudia Gottstein, Susanne Alban and Hans‐Georg Sahl and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Gerd Bendas

113 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerd Bendas Germany 32 1.8k 703 441 440 440 118 3.3k
Аlexander А. Shtil Russia 33 2.3k 1.3× 938 1.3× 221 0.5× 266 0.6× 234 0.5× 255 4.4k
Ulrich auf dem Keller Switzerland 40 2.7k 1.5× 1.1k 1.6× 315 0.7× 183 0.4× 412 0.9× 92 5.1k
Galia Blum Israel 33 1.9k 1.1× 923 1.3× 204 0.5× 222 0.5× 268 0.6× 59 3.7k
R Tauber Germany 37 2.0k 1.1× 515 0.7× 230 0.5× 95 0.2× 392 0.9× 114 3.9k
Christine Unger Austria 24 1.6k 0.9× 1.1k 1.5× 224 0.5× 167 0.4× 411 0.9× 34 3.3k
Mirco Ponzoni Italy 44 3.4k 1.9× 1.2k 1.7× 213 0.5× 669 1.5× 270 0.6× 174 5.9k
Teruna J. Siahaan United States 39 2.8k 1.5× 841 1.2× 685 1.6× 836 1.9× 204 0.5× 199 5.8k
Sandra Liekens Belgium 38 2.5k 1.4× 1.3k 1.8× 158 0.4× 130 0.3× 337 0.8× 141 5.2k
Ruiwu Liu United States 33 2.3k 1.3× 627 0.9× 305 0.7× 419 1.0× 100 0.2× 111 3.8k
Lei Yao China 42 3.2k 1.8× 1.6k 2.3× 275 0.6× 801 1.8× 266 0.6× 151 6.5k

Countries citing papers authored by Gerd Bendas

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Bendas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd Bendas

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Bendas. A scholar is included among the top collaborators of Gerd Bendas 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 Gerd Bendas. Gerd Bendas 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.
2.
Bendas, Gerd, et al.. (2024). Diversity Oriented Synthesis of Novel Xanthones Reveal Potent Doxorubicin‐Inspired Analogs. ChemMedChem. 19(9). e202400055–e202400055. 1 indexed citations
3.
Bendas, Gerd, Martina Gobec, & Martin Schlesinger. (2024). Modulating Immune Responses: The Double-Edged Sword of Platelet CD40L. Seminars in Thrombosis and Hemostasis. 51(8). 855–869. 1 indexed citations
4.
Kiesel, Ludwig, et al.. (2023). The Tissue Factor Pathway in Cancer: Overview and Role of Heparan Sulfate Proteoglycans. Cancers. 15(5). 1524–1524. 20 indexed citations
5.
Weber, Heiko B., et al.. (2023). Exostosin 1 Knockdown Induces Chemoresistance in MV3 Melanoma Cells by Upregulating JNK and MEK/ERK Signaling. International Journal of Molecular Sciences. 24(6). 5452–5452. 3 indexed citations
6.
Kobelt, Dennis, et al.. (2021). Insulin-like Growth Factor Binding Protein-2 (IGFBP2) Is a Key Molecule in the MACC1-Mediated Platelet Communication and Metastasis of Colorectal Cancer Cells. International Journal of Molecular Sciences. 22(22). 12195–12195. 11 indexed citations
7.
Grundmann, Manuel, Tobias Benkel, Evi Kostenis, et al.. (2018). Pro-Angiogenic Effects of Latent Heparanase and Thrombin Receptor-Mediated Pathways—Do They Share a Common Ground in Melanoma Cells?. Thrombosis and Haemostasis. 118(10). 1803–1814. 5 indexed citations
8.
9.
Schneider, Verena, et al.. (2012). Contribution of intracellular ATP to cisplatin resistance of tumor cells. JBIC Journal of Biological Inorganic Chemistry. 18(2). 165–174. 36 indexed citations
10.
Jantscheff, Peter, Martin Schlesinger, Lenka A. Taylor, et al.. (2011). Lysophosphatidylcholine Pretreatment Reduces VLA-4 and P-Selectin–Mediated B16.F10 Melanoma Cell Adhesion In vitro and Inhibits Metastasis-Like Lung Invasion In vivo. Molecular Cancer Therapeutics. 10(1). 186–197. 44 indexed citations
11.
Schlesinger, Martin, et al.. (2010). Analysis of SM4 sulfatide as a P-selectin ligand using model membranes. Biophysical Chemistry. 150(1-3). 98–104. 17 indexed citations
12.
Wiese, Michael, et al.. (2010). Targeted doxorubicin-liposomes as a tool to circumvent P-gp-mediated resistance in ovarian carcinoma cells. International Journal of Clinical Pharmacology and Therapeutics. 48(7). 442–444. 5 indexed citations
13.
Rothe, Ulrich, et al.. (2008). Biosensor-Based Evaluation of Liposomal Behavior in the Target Binding Process. Journal of Liposome Research. 18(1). 71–82. 9 indexed citations
14.
Kneuer, Carsten, Dick Hoekstra, Ulrich Rothe, et al.. (2007). Adhesion characteristics and stability assessment of lectin-modified liposomes for site-specific drug delivery. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(1). 242–249. 56 indexed citations
15.
Alban, Susanne, et al.. (2006). The influence of various structural parameters of semisynthetic sulfated polysaccharides on the P-selectin inhibitory capacity. Biochemical Pharmacology. 72(4). 474–485. 51 indexed citations
16.
Bendas, Gerd, Ulrich Rothe, Gerrit L. Scherphof, & Jan A. A. M. Kamps. (2002). The influence of repeated injections on pharmacokinetics and biodistribution of different types of sterically stabilized immunoliposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1609(1). 63–70. 34 indexed citations
17.
Krause, Annett, et al.. (2001). Investigation of the cellular uptake of E-Selectin-targeted immunoliposomes by activated human endothelial cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1514(2). 177–190. 91 indexed citations
18.
Bakowsky, Udo, W. Rettig, Gerd Bendas, et al.. (2000). Characterization of the interactions between various hexadecylmannoside–phospholipid model membranes with the lectin Concanavalin A. Physical Chemistry Chemical Physics. 2(20). 4609–4614. 21 indexed citations
19.
Liebau, M., Gerd Bendas, Ulrich Rothe, & Reinhard H.H. Neubert. (1998). Adhesive interactions of liposomes with supported planar bilayers on QCM as a new adhesion model. Sensors and Actuators B Chemical. 47(1-3). 239–245. 20 indexed citations
20.
Vogel, J., Gerd Bendas, Udo Bakowsky, et al.. (1998). The role of glycolipids in mediating cell adhesion: a flow chamber study1This paper is dedicated to Professor H.W. Meyer (University of Jena) on the occasion of his 65th birthday.1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1372(2). 205–215. 46 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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