Andreas Papassavas

484 total citations
18 papers, 363 citations indexed

About

Andreas Papassavas is a scholar working on Immunology, Hematology and Genetics. According to data from OpenAlex, Andreas Papassavas has authored 18 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Hematology and 5 papers in Genetics. Recurrent topics in Andreas Papassavas's work include Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (5 papers) and T-cell and B-cell Immunology (5 papers). Andreas Papassavas is often cited by papers focused on Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (5 papers) and T-cell and B-cell Immunology (5 papers). Andreas Papassavas collaborates with scholars based in Greece, United States and Netherlands. Andreas Papassavas's co-authors include Catherine Stavropoulos‐Giokas, Theofanis Chatzistamatiou, Εfstathios Michalopoulos, R.F. Schipper, Maria Spyropoulou‐Vlachou, Ilias I.N. Doxiadis, Panagiotis Mallis, Ismene Dontas, Δέσποινα Περρέα and Othon Papadopoulos and has published in prestigious journals such as Transplantation, Transfusion and Biology of Blood and Marrow Transplantation.

In The Last Decade

Andreas Papassavas

18 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Papassavas 149 122 108 71 65 18 363
Andrea Tiemi Kondo 141 0.9× 57 0.5× 41 0.4× 22 0.3× 8 0.1× 32 291
Carmela Di Martino 118 0.8× 155 1.3× 20 0.2× 43 0.6× 22 0.3× 19 374
Jack Hayes 234 1.6× 92 0.8× 48 0.4× 18 0.3× 16 0.2× 10 336
Å Månsson 203 1.4× 263 2.2× 53 0.5× 59 0.8× 15 0.2× 5 452
Holger Karbach 225 1.5× 95 0.8× 41 0.4× 22 0.3× 7 0.1× 5 332
Xin’an Li 83 0.6× 297 2.4× 156 1.4× 76 1.1× 26 0.4× 10 677
C. H. Evans 85 0.6× 215 1.8× 39 0.4× 27 0.4× 16 0.2× 19 591
Veronika S. Urbán 200 1.3× 169 1.4× 68 0.6× 24 0.3× 10 0.2× 12 428
Hatixhe Latifi-Pupovci 188 1.3× 108 0.9× 21 0.2× 44 0.6× 18 0.3× 15 338
Álvaro Macedo Laureano 171 1.1× 96 0.8× 61 0.6× 30 0.4× 7 0.1× 13 343

Countries citing papers authored by Andreas Papassavas

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Papassavas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Papassavas

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Papassavas. A scholar is included among the top collaborators of Andreas Papassavas 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 Andreas Papassavas. Andreas Papassavas 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.
Mallis, Panagiotis, Εfstathios Michalopoulos, Andreas Papassavas, et al.. (2018). Non-Inherited Maternal Antigens Identify Acceptable HLA Mismatches: A New Policy for the Hellenic Cord Blood Bank. Bioengineering. 5(4). 77–77. 4 indexed citations
2.
Michalopoulos, Εfstathios, et al.. (2015). Attached Segments and Cryovial Samples as a Useful Tool in Cord Blood Banking Quality Control. Journal of Hematology. 4(1). 125–130. 1 indexed citations
3.
Mallis, Panagiotis, Jérôme Zoidakis, Antonia Vlahou, et al.. (2014). Evaluation of Decellularization in Umbilical Cord Artery. Transplantation Proceedings. 46(9). 3232–3239. 28 indexed citations
4.
Chatzistamatiou, Theofanis, Andreas Papassavas, Εfstathios Michalopoulos, et al.. (2014). Optimizing isolation culture and freezing methods to preserve Wharton's jelly's mesenchymal stem cell (MSC) properties: an MSC banking protocol validation for the Hellenic Cord Blood Bank. Transfusion. 54(12). 3108–3120. 66 indexed citations
5.
Papadopoulos, Othon, Christos Tsigris, Nikolaos Kavantzas, et al.. (2013). Autologous Transplantation of Adipose-Derived Stem Cells Enhances Skin Graft Survival and Wound Healing in Diabetic Rats. Annals of Plastic Surgery. 71(2). 225–232. 88 indexed citations
6.
7.
Stavropoulos‐Giokas, Catherine, et al.. (2012). The Role of HLA in Cord Blood Transplantation. PubMed. 2012. 1–9. 9 indexed citations
8.
Goussetis, Evgenios, Ioulia Peristeri, Andreas Papassavas, et al.. (2010). Low usage rate of banked sibling cord blood units in hematopoietic stem cell transplantation for children with hematological malignancies: Implications for directed cord blood banking policies. Blood Cells Molecules and Diseases. 46(2). 177–181. 4 indexed citations
9.
Goussetis, Evgenios, Ioulia Peristeri, Maria Dimopoulou, et al.. (2009). Successful Hematopoietic Stem Cell Transplantation in 2 Children with X-Linked Chronic Granulomatous Disease from Their Unaffected HLA-Identical Siblings Selected Using Preimplantation Genetic Diagnosis Combined with HLA Typing. Biology of Blood and Marrow Transplantation. 16(3). 344–349. 20 indexed citations
10.
Goussetis, Evgenios, Eftichia Petrakou, Maria Theodosaki, et al.. (2009). Directed sibling donor cord blood banking for children with β-thalassemia major in Greece: Usage rate and outcome of transplantation for HLA-matched units. Blood Cells Molecules and Diseases. 44(2). 107–110. 8 indexed citations
11.
12.
Papassavas, Andreas, et al.. (2002). Definition of permissible and immunogenic HLA antigens based on epitope analysis of the HLA specific antibodies produced in sensitized patients. European Journal of Immunogenetics. 29(5). 401–407. 2 indexed citations
13.
Papassavas, Andreas, Martin Barnardo, Mike Bunce, & Kenneth I. Welsh. (2002). Is there MHC Class II restriction of the response to MHC Class I in transplant patients?. Transplantation. 73(4). 642–651. 11 indexed citations
14.
Boletis, John, et al.. (2001). Immune reactivity toward HLA class II determinants in renal transplantation. Transplantation Proceedings. 33(1-2). 461–464. 5 indexed citations
15.
Spyropoulou‐Vlachou, Maria, et al.. (2000). MHC class I and class II phenotype, gene, and haplotype frequencies in Greeks using molecular typing data. Human Immunology. 61(6). 615–623. 75 indexed citations
16.
Papassavas, Andreas, et al.. (2000). EPITOPE ANALYSIS OF HLA CLASS I DONOR SPECIFIC ANTIBODIES IN SENSITIZED RENAL TRANSPLANT RECIPIENTS. Transplantation. 70(2). 323–327. 16 indexed citations
17.
Papassavas, Andreas, et al.. (2000). A limited number of HLA epitopes are recognized from HLA class I-specific antibodies detected in the serum of sensitized patients. Human Immunology. 61(7). 705–710. 7 indexed citations
18.
Papassavas, Andreas, et al.. (1998). Evaluation of HLA-Class I Alloantibodies Using PRA-STAT and Complement-Dependent Cytotoxicity Techniques. Transplantation Proceedings. 30(3). 724–726. 3 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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