Stamatis Vassilaros
- Co-authors
- Annivas TsikkinisVasso ApostolopoulosIan F. C. McKenzieGeoffrey A. PieterszDemetrios�� SpandidosΜichael N. AlexisGeorge SourvinosJ. Papadiamantis
- Topics
- Glycosylation and Glycoproteins Research (4 papers)Cancer Cells and Metastasis (4 papers)Estrogen and related hormone effects (4 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- GreeceAustraliaUnited States
In The Last Decade
Stamatis Vassilaros
22 papers receiving 614 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 304
- Oncology 252
- Immunology 200
- Cancer Research 143
- Pathology and Forensic Medicine 106
Countries citing papers authored by Stamatis Vassilaros
This map shows the geographic impact of Stamatis Vassilaros'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 Stamatis Vassilaros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stamatis Vassilaros more than expected).
Fields of papers citing papers by Stamatis Vassilaros
This network shows the impact of papers produced by Stamatis Vassilaros. 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 Stamatis Vassilaros. The network helps show where Stamatis Vassilaros may publish in the future.
Co-authorship network of co-authors of Stamatis Vassilaros
This figure shows the co-authorship network connecting the top 25 collaborators of Stamatis Vassilaros. A scholar is included among the top collaborators of Stamatis Vassilaros 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 Stamatis Vassilaros. Stamatis Vassilaros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 84 | |
| 5 | 35 | |
| 6 | 33 | |
| 7 | 6 | |
| 8 | 139 | |
| 9 | 24 | |
| 10 | 13 | |
| 11 | Frequent LOH at hMLH1, a highly variable SNP in hMSH3, and negligible coding instability in ovarian cancer. | 6 |
| 12 | 45 | |
| 13 | 9 | |
| 14 | 38 | |
| 15 | Expression of ras Rb1 and p53 proteins in human breast cancer. | 26 |
| 16 | 73 | |
| 17 | 1 | |
| 18 | 39 | |
| 19 | 3 | |
| 20 | The incidence of positive oestrogen and progesterone receptors in breast cancer of Greek women. | 2 |
About Stamatis Vassilaros
Stamatis Vassilaros is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 22 papers that have together received 635 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Cancer Cells and Metastasis (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cancer Research (143 citations), Immunology (200 citations) and Oncology (252 citations). Stamatis Vassilaros has collaborated with scholars based in Greece, Australia and United States. Frequent co-authors include Annivas Tsikkinis, Vasso Apostolopoulos, Ian F. C. McKenzie, Geoffrey A. Pietersz, Demetrios�� Spandidos, Μichael N. Alexis, George Sourvinos, J. Papadiamantis, Sara J. Piddlesden and Bruce E. Loveland. Their work appears in journals such as Cancer, International Journal of Cancer and Cancer Letters.
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.