Tanja Matijević Glavan

788 total citations
35 papers, 613 citations indexed

About

Tanja Matijević Glavan is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tanja Matijević Glavan has authored 35 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Tanja Matijević Glavan's work include Immune Response and Inflammation (14 papers), NF-κB Signaling Pathways (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Tanja Matijević Glavan is often cited by papers focused on Immune Response and Inflammation (14 papers), NF-κB Signaling Pathways (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Tanja Matijević Glavan collaborates with scholars based in Croatia, France and United States. Tanja Matijević Glavan's co-authors include Jasminka Pavelić, Jelena Knežević, Krešimir Pavelić, Ana Čipak Gašparović, Neven Žarković, Pierre Busson, Morana Jaganjac, Marko Marjanović, Benjamin Vérillaud and Maja Mustapić and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.

In The Last Decade

Tanja Matijević Glavan

33 papers receiving 597 citations

Peers

Tanja Matijević Glavan
Yun Wu China
Julie Davies United States
Yeon-Soo Kim South Korea
Yun Wu China
Tanja Matijević Glavan
Citations per year, relative to Tanja Matijević Glavan Tanja Matijević Glavan (= 1×) peers Yun Wu

Countries citing papers authored by Tanja Matijević Glavan

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Matijević Glavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Matijević Glavan

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Matijević Glavan. A scholar is included among the top collaborators of Tanja Matijević Glavan 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 Matijević Glavan. Tanja Matijević Glavan 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.
Glavan, Tanja Matijević, et al.. (2024). Mithramycin targets head and neck cancer stem cells by inhibiting Sp1 and UFMylation. Cancer Cell International. 24(1). 412–412.
2.
Glavan, Tanja Matijević, et al.. (2023). Recent Advances in the Targeting of Head and Neck Cancer Stem Cells. Applied Sciences. 13(24). 13293–13293. 5 indexed citations
3.
Busson, Pierre, et al.. (2023). Dialog beyond the Grave: Necrosis in the Tumor Microenvironment and Its Contribution to Tumor Growth. International Journal of Molecular Sciences. 24(6). 5278–5278. 13 indexed citations
4.
Tarle, Marko, et al.. (2023). Necrotic Cells from Head and Neck Carcinomas Release Biomolecules That Are Activating Toll-like Receptor 3. International Journal of Molecular Sciences. 24(20). 15269–15269. 3 indexed citations
5.
Gall‐Trošelj, Koraljka, Morana Jaganjac, Tanja Matijević Glavan, et al.. (2022). Oxidative Stress and Cancer Heterogeneity Orchestrate NRF2 Roles Relevant for Therapy Response. Molecules. 27(5). 1468–1468. 23 indexed citations
6.
Pavičić, Ivan, Mirta Milić, Igor M. Pongrac, et al.. (2019). Neurotoxicity of silver nanoparticles stabilized with different coating agents: In vitro response of neuronal precursor cells. Food and Chemical Toxicology. 136. 110935–110935. 33 indexed citations
7.
Vérillaud, Benjamin, et al.. (2018). Radio-sensitization of head and neck cancer cells by a combination of poly(I:C) and cisplatin through downregulation of survivin and c-IAP2. Cellular Oncology. 42(1). 29–40. 11 indexed citations
8.
Glavan, Tanja Matijević, Ana Čipak Gašparović, Benjamin Vérillaud, Pierre Busson, & Jasminka Pavelić. (2016). Toll‐like receptor 3 stimulation triggers metabolic reprogramming in pharyngeal cancer cell line through Myc, MAPK, and HIF. Molecular Carcinogenesis. 56(4). 1214–1226. 32 indexed citations
9.
Glavan, Tanja Matijević & Jasminka Pavelić. (2014). The Exploitation of Toll-like Receptor 3 Signaling in Cancer Therapy. Current Pharmaceutical Design. 20(42). 6555–6564. 34 indexed citations
10.
Pavelić, Jasminka, et al.. (2012). The polymorphisms in Toll-like receptor genes and cancer risk. Periodicum Biologorum. 114(4). 461–469. 4 indexed citations
11.
Glavan, Tanja Matijević & Jasminka Pavelić. (2012). Poly(I:C) treatment influences the expression of calreticulin and profilin-1 in a human HNSCC cell line: a proteomic study. Tumor Biology. 33(4). 1201–1208. 7 indexed citations
12.
Glavan, Tanja Matijević & Krešimir Pavelić. (2010). Toll-Like Receptors: Cost or Benefit for Cancer?. Current Pharmaceutical Design. 16(9). 1081–1090. 37 indexed citations
13.
Glavan, Tanja Matijević, Marko Marjanović, & Krešimir Pavelić. (2009). Functionally Active Toll‐Like Receptor 3 on Human Primary and Metastatic Cancer Cells. Scandinavian Journal of Immunology. 70(1). 18–24. 32 indexed citations
14.
Glavan, Tanja Matijević, et al.. (2008). Rett Syndrome: From the Gene to the Disease. European Neurology. 61(1). 3–10. 51 indexed citations
15.
Knežević, Jelena, Goranka Tanačković, Tanja Matijević Glavan, Ingeborg Barišić, & Jasminka Pavelić. (2007). Analysis of Cystic Fibrosis Gene Mutations and Associated Haplotypes in the Croatian Population. Genetic Testing. 11(2). 133–138. 1 indexed citations
16.
Pivac, Nela, Jelena Knežević, Dragica Kozarić‐Kovačić, et al.. (2007). Monoamine oxidase (MAO) intron 13 polymorphism and platelet MAO-B activity in combat-related posttraumatic stress disorder. Journal of Affective Disorders. 103(1-3). 131–138. 47 indexed citations
17.
Pivac, Nela, Jelena Knežević, Maja Mustapić, et al.. (2006). The lack of association between monoamine oxidase (MAO) intron 13 polymorphism and platelet MAO-B activity among men. Life Sciences. 79(1). 45–49. 27 indexed citations
18.
Glavan, Tanja Matijević, et al.. (2006). The MECP2 Gene Mutation Screening in Rett Syndrome Patients from Croatia. Annals of the New York Academy of Sciences. 1091(1). 225–232. 4 indexed citations
19.
Knežević, Jelena, et al.. (2005). Prevalence of the 35delG Mutation in the GJB2 Gene of Patients with Nonsyndromic Hearing Loss from Croatia. Genetic Testing. 9(4). 297–300. 9 indexed citations
20.
Gašparović, Ana Čipak, Meinhard Hasslacher, Oksana Tehlivets, et al.. (2005). Saccharomyces cerevisiae strain expressing a plant fatty acid desaturase produces polyunsaturated fatty acids and is susceptible to oxidative stress induced by lipid peroxidation. Free Radical Biology and Medicine. 40(5). 897–906. 40 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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