Srečko Gajović

3.3k total citations
91 papers, 2.1k citations indexed

About

Srečko Gajović is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Srečko Gajović has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Biomaterials. Recurrent topics in Srečko Gajović's work include Pluripotent Stem Cells Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Developmental Biology and Gene Regulation (7 papers). Srečko Gajović is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Developmental Biology and Gene Regulation (7 papers). Srečko Gajović collaborates with scholars based in Croatia, Italy and Germany. Srečko Gajović's co-authors include Dinko Mitrečić, Andrés F. Muro, Francisco E. Baralle, Fabiola Porro, Daniel Horák, Anna Lydia Svalastog, Alessandra Iaconcig, Anil K. Chauhan, Giorgio Stanta and Ivana Vinković Vrček and has published in prestigious journals such as The Journal of Cell Biology, Blood and PLoS ONE.

In The Last Decade

Srečko Gajović

85 papers receiving 2.1k citations

Peers

Srečko Gajović

BIOMA

CMN

Xiaohui Xu China

Kem A. Rogers Canada

Maria V. Vedunova Russia

Wolfram Schwindt Germany

Dongqing Wang China

Paul Chen Canada

Yan Zhou China

Xiaojuan Zhu China

Dong‐Eog Kim South Korea

Anke Hoffmann Germany

Xiaohui Xu China

Srečko Gajović

932 ×1.4

145 ×0.5

208 ×0.7

70 ×0.3

BIOMA

253 ×1.7

CMN

Citations per year, relative to Srečko Gajović Srečko Gajović (= 1×) peers Xiaohui Xu

Countries citing papers authored by Srečko Gajović

Since Specialization

Citations

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

Fields of papers citing papers by Srečko Gajović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srečko Gajović

This figure shows the co-authorship network connecting the top 25 collaborators of Srečko Gajović. A scholar is included among the top collaborators of Srečko Gajović 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 Srečko Gajović. Srečko Gajović 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

Svensson, Ann, Anna Lydia Svalastog, Matjaž Vidmar, et al.. (2025). Vaccine Hesitancy in Public Healthcare During Pandemics: An International Study to Inform Management Learning. Health Science Reports. 8(8). e71190–e71190.

Hackenberger, Branimir K., et al.. (2024). Innovative statistical approaches: the use of neural networks reduces the sample size in the splenectomy-MCAO mouse model. Croatian Medical Journal. 65(2). 122–137.

Škokić, Siniša, et al.. (2024). Validation and application of caged Z-DEVD-aminoluciferin bioluminescence for assessment of apoptosis of wild type and TLR2-deficient mice after ischemic stroke. Journal of Photochemistry and Photobiology B Biology. 253. 112871–112871. 2 indexed citations

Tarabykin, Victor, et al.. (2023). Reactivation of corticogenesis-related transcriptional factors BCL11B and SATB2 after ischemic lesion of the adult mouse brain. Scientific Reports. 13(1). 8539–8539. 2 indexed citations

Gajović, Srečko, et al.. (2023). Tissue optical clearing methods for microscopy: A review of their application in neuroscience. Periodicum Biologorum. 125(1-2). 115–121.

Polšek, Dora, Diana Cash, Mattia Veronese, et al.. (2020). The innate immune toll-like-receptor-2 modulates the depressogenic and anorexiolytic neuroinflammatory response in obstructive sleep apnoea. Scientific Reports. 10(1). 11475–11475. 38 indexed citations

Mihaljević, Zrinka, Mirela Baus Lončar, Martina Mihalj, et al.. (2019). Impact of High Salt Diet on Cerebral Vascular Function and Stroke in Tff3−/−/C57BL/6N Knockout and WT (C57BL/6N) Control Mice. International Journal of Molecular Sciences. 20(20). 5188–5188. 7 indexed citations

Kostiv, Uliana, Vitalii Patsula, Miroslav Šlouf, et al.. (2017). Physico-chemical characteristics, biocompatibility, and MRI applicability of novel monodisperse PEG-modified magnetic Fe₃O₄&SiO₂core–shell nanoparticles. RSC Advances. 7(15). 8786–8797. 43 indexed citations

Pongrac, Igor M., Darija Domazet Jurašin, Ivan Pavičić, et al.. (2017). Surface coating affects uptake of silver nanoparticles in neural stem cells. Journal of Trace Elements in Medicine and Biology. 50. 684–692. 28 indexed citations

10.

Kapuralin, Katarina, et al.. (2016). Neural stem cells from mouse strain Thy1 YFP-16 are a valuable tool to monitor and evaluate neuronal differentiation and morphology. Neuroscience Letters. 634. 32–41. 29 indexed citations

11.

Kapuralin, Katarina, et al.. (2015). Krüppel-like transcription factor 8 ( Klf8 ) is expressed and active in the neurons of the mouse brain. Gene. 570(1). 132–140. 8 indexed citations

12.

Bohaček, Ivan, et al.. (2015). Articular cartilage repair techniques exploiting intrinsic healing capacity – which one is the best?. Periodicum Biologorum. 117(1). 125–133. 1 indexed citations

13.

Gajović, Srečko & Roland Pochet. (2014). Brain extracellular matrix meets COST—Matrix for European research networks. Progress in brain research. 214. xix–xxiii. 1 indexed citations

14.

Winters, Todd A., et al.. (2013). Expression analysis of genes involved in TLR2-related signaling pathway: Inflammation and apoptosis after ischemic brain injury. Neuroscience. 238. 87–96. 26 indexed citations

15.

Bohaček, Ivan, et al.. (2012). Toll-like receptor 2 deficiency leads to delayed exacerbation of ischemic injury. Journal of Neuroinflammation. 9(1). 191–191. 72 indexed citations

16.

Mitrečić, Dinko, et al.. (2008). Semi‐thin sections of epoxy resin‐embedded mouse embryos in morphological analysis of whole mount in situ RNA hybridization. Journal of Microscopy. 232(3). 504–507. 2 indexed citations

17.

Mitrečić, Dinko, et al.. (2007). PCR-based identification of short deletion/insertions and single nucleotide substitutions in genotyping of splotch (Pax3sp) and truncate (Nototc) mouse mutants. Molecular and Cellular Probes. 22(2). 110–114. 2 indexed citations

18.

Gajović, Srečko, et al.. (1995). Ventral ectodermal ridge and ventral ectodermal groove: two distinct morphological features in the developing rat embryo tail. Anatomy and Embryology. 192(2). 181–187. 10 indexed citations

19.

Gajović, Srečko, et al.. (1993). Morphological evidence for secondary formation of the tail gut in the rat embryo. Anatomy and Embryology. 187(3). 291–297. 15 indexed citations

20.

Gajović, Srečko, et al.. (1989). Origin of the notochord in the rat embryo tail. Anatomy and Embryology. 179(3). 305–310. 25 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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