Vasilis Bikos

882 total citations
11 papers, 402 citations indexed

About

Vasilis Bikos is a scholar working on Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vasilis Bikos has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Pathology and Forensic Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vasilis Bikos's work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (7 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Vasilis Bikos is often cited by papers focused on Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (7 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Vasilis Bikos collaborates with scholars based in Greece, Czechia and Sweden. Vasilis Bikos's co-authors include Κώστας Σταματόπουλος, Andrea Cerutti, Johan F. Lange, Katharina Biermann, Christina Großerichter-Wagener, Menno C. van Zelm, Mirjam van der Burg, Jacques J. M. van Dongen, Gertjan J. Driessen and Magdalena A. Berkowska and has published in prestigious journals such as Blood, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Vasilis Bikos

11 papers receiving 397 citations

Peers

Vasilis Bikos
Vasilis Bikos
Citations per year, relative to Vasilis Bikos Vasilis Bikos (= 1×) peers Maud Maho‐Vaillant

Countries citing papers authored by Vasilis Bikos

Since Specialization
Citations

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

Fields of papers citing papers by Vasilis Bikos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasilis Bikos

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

All Works

11 of 11 papers shown
1.
Kalamaras, Ilias, Andreas Agathangelidis, Lesley-Ann Sutton, et al.. (2018). Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia. BMC Bioinformatics. 19(S14). 414–414. 7 indexed citations
2.
Bikos, Vasilis, et al.. (2018). The Role of Oncogenic Tyrosine Kinase NPM-ALK in Genomic Instability. Cancers. 10(3). 64–64. 8 indexed citations
3.
Rodríguez‐Vicente, Ana E., Vasilis Bikos, María Hernández‐Sánchez, et al.. (2017). Next-generation sequencing in chronic lymphocytic leukemia: recent findings and new horizons. Oncotarget. 8(41). 71234–71248. 24 indexed citations
4.
Marcatili, Paolo, Andreas Agathangelidis, Lesley‐Ann Sutton, et al.. (2016). Automated Clustering Analysis of Immunoglobulin Sequences in Chronic Lymphocytic Leukemia Based on 3D Structural Descriptors. Blood. 128(22). 4365–4365. 1 indexed citations
5.
Bystrý, Vojtěch, Andreas Agathangelidis, Vasilis Bikos, et al.. (2015). ARResT/AssignSubsets: a novel application for robust subclassification of chronic lymphocytic leukemia based on B cell receptor IG stereotypy. Bioinformatics. 31(23). 3844–3846. 33 indexed citations
6.
Baliakas, Panagiotis, Jonathan C. Strefford, Vasilis Bikos, et al.. (2014). Splenic marginal-zone lymphoma: ontogeny and genetics. Leukemia & lymphoma. 56(2). 301–310. 8 indexed citations
7.
Stalika, Evangelia, Anastasia Hadzidimitriou, Anna Vardi, et al.. (2014). High-Throughput Profiling of the T-Cell Receptor Gene Repertoire Supports Antigen Drive in the Pathogenesis of Chronic Idiopathic Neutropenia. Blood. 124(21). 2731–2731. 1 indexed citations
8.
Stalika, Evangelia, Panagiotis Baliakas, Vasilis Bikos, et al.. (2013). Ongoing Antigen Interactions In Splenic Marginal Zone Lymphoma: Revelations From The Analysis Of Intraclonal Diversification In Immunoglobulin Light Chain Genes. Blood. 122(21). 2999–2999. 1 indexed citations
9.
Ponzoni, Maurilio, George Kanellis, Panagiotis Baliakas, et al.. (2012). Bone Marrow Histopathology in the Diagnostic Evaluation of Splenic Marginal-zone and Splenic Diffuse Red Pulp Small B-cell Lymphoma. The American Journal of Surgical Pathology. 36(11). 1609–1618. 40 indexed citations
10.
Berkowska, Magdalena A., Gertjan J. Driessen, Vasilis Bikos, et al.. (2011). Human memory B cells originate from three distinct germinal center-dependent and -independent maturation pathways. Blood. 118(8). 2150–2158. 267 indexed citations
11.
Smilevska, Tatjana, Anastasia Hadzidimitriou, Vasilis Bikos, et al.. (2008). Immunoglobulin kappa gene repertoire and somatic hypermutation patterns in follicular lymphoma. Blood Cells Molecules and Diseases. 41(2). 215–218. 12 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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