Vasiliki Bitsika

1.1k total citations
18 papers, 930 citations indexed

About

Vasiliki Bitsika is a scholar working on Surgery, Spectroscopy and Genetics. According to data from OpenAlex, Vasiliki Bitsika has authored 18 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Spectroscopy and 6 papers in Genetics. Recurrent topics in Vasiliki Bitsika's work include Mesenchymal stem cell research (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Vasiliki Bitsika is often cited by papers focused on Mesenchymal stem cell research (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Vasiliki Bitsika collaborates with scholars based in Greece, United Kingdom and Germany. Vasiliki Bitsika's co-authors include Maria G. Roubelakis, Antonia Vlahou, Nicholas P. Anagnou, Dimitra Zagoura, Kalliopi I. Pappa, A. Antsaklis, Ourania Trohatou, Manousos Makridakis, Helen Α. Papadaki and Alkistis Kapelouzou and has published in prestigious journals such as Gut, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

Vasiliki Bitsika

18 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vasiliki Bitsika Greece 15 466 406 359 178 129 18 930
Martin Decaris United States 15 209 0.4× 130 0.3× 213 0.6× 65 0.4× 24 0.2× 34 859
Ildikó Bock-Marquette United States 9 494 1.1× 55 0.1× 289 0.8× 44 0.2× 18 0.1× 16 931
Wei Xie United States 17 370 0.8× 165 0.4× 137 0.4× 77 0.4× 13 0.1× 55 986
David L. Amrani United States 13 345 0.7× 201 0.5× 307 0.9× 126 0.7× 6 0.0× 24 921
Rafael Soares Lindoso Brazil 15 725 1.6× 187 0.5× 153 0.4× 368 2.1× 7 0.1× 26 873
Takahito Fukusumi Japan 18 531 1.1× 100 0.2× 156 0.4× 325 1.8× 10 0.1× 47 1.1k
Víctor G. Martínez Spain 18 417 0.9× 89 0.2× 153 0.4× 100 0.6× 11 0.1× 35 891
Sey‐En Lin Taiwan 18 400 0.9× 64 0.2× 178 0.5× 175 1.0× 6 0.0× 52 978
Debra J. Warejcka United States 14 165 0.4× 91 0.2× 287 0.8× 131 0.7× 7 0.1× 25 668
Yoshiya Shimao Japan 15 508 1.1× 89 0.2× 96 0.3× 246 1.4× 6 0.0× 43 1.2k

Countries citing papers authored by Vasiliki Bitsika

Since Specialization
Citations

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

Fields of papers citing papers by Vasiliki Bitsika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasiliki Bitsika

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

All Works

18 of 18 papers shown
1.
Klein, Julie, Manousos Makridakis, Vasiliki Bitsika, et al.. (2019). Proteomics based identification of KDM5 histone demethylases associated with cardiovascular disease. EBioMedicine. 41. 91–104. 32 indexed citations
2.
Kontostathi, Georgia, et al.. (2019). Development and Validation of Multiple Reaction Monitoring (MRM) Assays for Clinical Applications. Methods in molecular biology. 1959. 205–223. 20 indexed citations
3.
Bitsika, Vasiliki, Venceslas Duveau, William Mullen, et al.. (2016). High-Throughput LC–MS/MS Proteomic Analysis of a Mouse Model of Mesiotemporal Lobe Epilepsy Predicts Microglial Activation Underlying Disease Development. Journal of Proteome Research. 15(5). 1546–1562. 31 indexed citations
4.
Pejchinοvski, Martin, Adela Ramírez‐Torres, Vasiliki Bitsika, et al.. (2015). Capillary zone electrophoresis on‐line coupled to mass spectrometry: A perspective application for clinical proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 9(5-6). 453–468. 35 indexed citations
5.
Pejchinοvski, Martin, Julie Klein, Adela Ramírez‐Torres, et al.. (2015). Comparison of higher energy collisional dissociation and collision‐induced dissociation MS/MS sequencing methods for identification of naturally occurring peptides in human urine. PROTEOMICS - CLINICAL APPLICATIONS. 9(5-6). 531–542. 19 indexed citations
6.
Mainini, Veronica, Maciej Łałowski, Athanasios Gotsopoulos, et al.. (2014). MALDI-Imaging Mass Spectrometry on Tissues. Methods in molecular biology. 1243. 139–164. 17 indexed citations
7.
Bitsika, Vasiliki, Antonia Vlahou, & Maria G. Roubelakis. (2013). Fetal Mesenchymal Stem Cells in Cancer Therapy. Current Stem Cell Research & Therapy. 8(2). 133–143. 6 indexed citations
8.
Trohatou, Ourania, Dimitra Zagoura, Vasiliki Bitsika, et al.. (2013). Sox2 Suppression by miR-21 Governs Human Mesenchymal Stem Cell Properties. Stem Cells Translational Medicine. 3(1). 54–68. 71 indexed citations
9.
Albalat, Amaya, Vasiliki Bitsika, Petra Zürbig, Justyna Siwy, & William Mullen. (2013). High-Resolution Proteome/Peptidome Analysis of Body Fluids by Capillary Electrophoresis Coupled with MS. Methods in molecular biology. 984. 153–165. 12 indexed citations
10.
Albalat, Amaya, Angélique Stalmach, Vasiliki Bitsika, et al.. (2013). Improving peptide relative quantification in MALDI‐TOF MS for biomarker assessment. PROTEOMICS. 13(20). 2967–2975. 17 indexed citations
11.
Herget‐Rosenthal, Stefan, Jochen Metzger, Amaya Albalat, Vasiliki Bitsika, & Harald Mischak. (2012). Proteomic Biomarkers for the Early Detection of Acute Kidney Injury. InTech eBooks. 33(1). 27–48. 10 indexed citations
12.
Bitsika, Vasiliki, Maria G. Roubelakis, Dimitra Zagoura, et al.. (2011). Human Amniotic Fluid-Derived Mesenchymal Stem Cells As Therapeutic Vehicles: A Novel Approach For the Treatment of Bladder Cancer. Stem Cells and Development. 21(7). 1097–1111. 47 indexed citations
13.
Zagoura, Dimitra, Maria G. Roubelakis, Vasiliki Bitsika, et al.. (2011). Therapeutic potential of a distinct population of human amniotic fluid mesenchymal stem cells and their secreted molecules in mice with acute hepatic failure. Gut. 61(6). 894–906. 147 indexed citations
14.
Zoidakis, Jérôme, Manousos Makridakis, Panagiotis Zerefos, et al.. (2011). Profilin 1 is a Potential Biomarker for Bladder Cancer Aggressiveness. Molecular & Cellular Proteomics. 11(4). M111.009449–M111.009449. 94 indexed citations
15.
Roubelakis, Maria G., Vasiliki Bitsika, Dimitra Zagoura, et al.. (2010). In vitro and in vivo properties of distinct populations of amniotic fluid mesenchymal progenitor cells. Journal of Cellular and Molecular Medicine. 15(9). 1896–1913. 79 indexed citations
16.
Makridakis, Manousos, Maria G. Roubelakis, Vasiliki Bitsika, et al.. (2010). Analysis of Secreted Proteins for the Study of Bladder Cancer Cell Aggressiveness. Journal of Proteome Research. 9(6). 3243–3259. 45 indexed citations
17.
Makridakis, Manousos, Sarantis Gagos, Andreas Petrolekas, et al.. (2008). Chromosomal and proteome analysis of a new T24‐based cell line model for aggressive bladder cancer. PROTEOMICS. 9(2). 287–298. 27 indexed citations
18.
Roubelakis, Maria G., Kalliopi I. Pappa, Vasiliki Bitsika, et al.. (2007). Molecular and Proteomic Characterization of Human Mesenchymal Stem Cells Derived from Amniotic Fluid: Comparison to Bone Marrow Mesenchymal Stem Cells. Stem Cells and Development. 16(6). 931–952. 221 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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