Tanja Gerlza

470 total citations
24 papers, 349 citations indexed

About

Tanja Gerlza is a scholar working on Cell Biology, Oncology and Molecular Biology. According to data from OpenAlex, Tanja Gerlza has authored 24 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cell Biology, 12 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Tanja Gerlza's work include Proteoglycans and glycosaminoglycans research (15 papers), Chemokine receptors and signaling (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Tanja Gerlza is often cited by papers focused on Proteoglycans and glycosaminoglycans research (15 papers), Chemokine receptors and signaling (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Tanja Gerlza collaborates with scholars based in Austria, Germany and Brazil. Tanja Gerlza's co-authors include Andreas J. Kungl, Tiziana Adage, Martha Gschwandtner, Peter Neumeister, Alexander Deutsch, Christine Beham‐Schmid, Dirk Strunk, Helmut Schaider, Nicole Hofmann and Mauro Martins Teixeira and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Tanja Gerlza

23 papers receiving 345 citations

Peers

Tanja Gerlza

ONCOL

IMMUN

Yuttana Srinoulprasert Thailand

Yuki Ichimura Japan

Jacqueline Turton Australia

Arif A. Arif Canada

Sonja Thaler Germany

Martina Hammer Austria

Joshua J. Thompson United States

Mirjana Urosevic‐Maiwald Switzerland

T. Forschner Germany

Chérine Abou Fayçal France

Yuttana Srinoulprasert Thailand

Tanja Gerlza

125 ×0.9

ONCOL

51 ×0.5

124 ×1.2

IMMUN

33 ×0.4

75 ×1.3

Citations per year, relative to Tanja Gerlza Tanja Gerlza (= 1×) peers Yuttana Srinoulprasert

Countries citing papers authored by Tanja Gerlza

Since Specialization

Citations

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

Fields of papers citing papers by Tanja Gerlza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Gerlza

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

All Works

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20 of 20 papers shown

Gerlza, Tanja, et al.. (2025). Antiviral Activity of Haematococcus pluvialis Algae Extract Is Not Exclusively Due to Astaxanthin. Pathogens. 14(8). 791–791. 1 indexed citations

Tetyczka, Carolin, Duy Toàn Phạm, Dagmar Kolb, et al.. (2024). Investigation of Hydrocolloid Plant Polysaccharides as Potential Candidates to Mimic the Functions of MUC5B in Saliva. Pharmaceutics. 16(5). 682–682.

Gschwandtner, Martha, et al.. (2023). Chemokine Binding to Tenascin-C Influences Chemokine-Induced Immune Cell Migration. International Journal of Molecular Sciences. 24(19). 14694–14694. 7 indexed citations

Gerlza, Tanja, et al.. (2022). The Role of Heparan Sulfate in CCL26-Induced Eosinophil Chemotaxis. International Journal of Molecular Sciences. 23(12). 6519–6519. 3 indexed citations

Gerlza, Tanja, et al.. (2021). Enoxaparin and Pentosan Polysulfate Bind to the SARS-CoV-2 Spike Protein and Human ACE2 Receptor, Inhibiting Vero Cell Infection. Biomedicines. 10(1). 49–49. 16 indexed citations

Gerlza, Tanja, et al.. (2021). Comparing freeze drying and spray drying of interleukins using model protein CXCL8 and its variants. European Journal of Pharmaceutics and Biopharmaceutics. 168. 152–165. 7 indexed citations

Cambier, Seppe, Noëmie Pörtner, Sofie Struyf, et al.. (2021). Affinity and Specificity for Binding to Glycosaminoglycans Can Be Tuned by Adapting Peptide Length and Sequence. International Journal of Molecular Sciences. 23(1). 447–447. 11 indexed citations

Gerlza, Tanja, et al.. (2021). Glycosaminoglycans located on neutrophils and monocytes impact on CXCL8- and CCL2-induced cell migration. Cytokine. 142. 155503–155503. 9 indexed citations

Gauhar, Aziz, et al.. (2021). Single domain shark VNAR antibodies neutralize SARS‐CoV‐2 infection in vitro. The FASEB Journal. 35(11). e21970–e21970. 24 indexed citations

10.

Derler, Rupert, et al.. (2021). Isolation and Characterization of Heparan Sulfate from Human Lung Tissues. Molecules. 26(18). 5512–5512. 3 indexed citations

11.

Gerlza, Tanja, et al.. (2019). PEGylation of a glycosaminoglycan-binding, dominant-negative CXCL8 mutant retains bioactivity in vitro and in vivo. Cytokine. 127. 154942–154942. 4 indexed citations

12.

Gerlza, Tanja, et al.. (2019). Designing an improved T-cell mobilising CXCL10 mutant through enhanced GAG binding affinity. Protein Engineering Design and Selection. 32(8). 367–373. 2 indexed citations

13.

Gschwandtner, Martha, Anna M. Piccinini, Tanja Gerlza, Tiziana Adage, & Andreas J. Kungl. (2016). Interfering with the CCL2–glycosaminoglycan axis as a potential approach to modulate neuroinflammation. Neuroscience Letters. 626. 164–173. 17 indexed citations

14.

Gschwandtner, Martha, et al.. (2015). Preparation and Characterization of Glycosaminoglycan Chemokine Coreceptors. Methods in enzymology on CD-ROM/Methods in enzymology. 570. 517–538. 3 indexed citations

15.

Gerlza, Tanja, Aid Atlić, Viktória Kónya, et al.. (2015). Designing a mutant CCL2-HSA chimera with high glycosaminoglycan-binding affinity and selectivity. Protein Engineering Design and Selection. 28(8). 231–240. 10 indexed citations

16.

Adage, Tiziana, Viktória Kónya, Corinna Weber, et al.. (2014). Targeting glycosaminoglycans in the lung by an engineered CXCL8 as a novel therapeutic approach to lung inflammation. European Journal of Pharmacology. 748. 83–92. 14 indexed citations

17.

McElvaney, Oliver J., Niamh O’Reilly, Michelle M. White, et al.. (2014). The effect of the decoy molecule PA401 on CXCL8 levels in bronchoalveolar lavage fluid of patients with cystic fibrosis. Molecular Immunology. 63(2). 550–558. 12 indexed citations

18.

Geretti, Elena, Tanja Gerlza, James Robinson, et al.. (2013). Designing CXCL8-based decoy proteins with strong anti-inflammatory activity in vivo. Bioscience Reports. 33(5). 33 indexed citations

19.

Deutsch, Alexander, Nicole Hofmann, Dirk Strunk, et al.. (2012). Chemokine receptors in gastric MALT lymphoma: loss of CXCR4 and upregulation of CXCR7 is associated with progression to diffuse large B-cell lymphoma. Modern Pathology. 26(2). 182–194. 59 indexed citations

20.

Aigelsreiter, Ariane, Tanja Gerlza, Alexander Deutsch, et al.. (2010). Chlamydia psittaci Infection in Nongastrointestinal Extranodal MALT Lymphomas and Their Precursor Lesions. American Journal of Clinical Pathology. 135(1). 70–75. 31 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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