Angelo Agathanggelou
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 5%
- Pathology and Forensic Medicine top 2%
- Cancer Research top 5%
- Co-authors
- Farida LatifEamonn R. MaherGerald NiedobitekWendy N. CooperLawrence S. YoungAshraf DallolSofia HonorioTatjana Stanković
- Topics
- Epigenetics and DNA Methylation (12 papers)Chronic Lymphocytic Leukemia Research (11 papers)Viral-associated cancers and disorders (9 papers)
- Journals
- The LancetBloodCancer Research
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Angelo Agathanggelou
50 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.1k
- Oncology 1.3k
- Immunology 587
- Pathology and Forensic Medicine 496
- Cancer Research 447
Countries citing papers authored by Angelo Agathanggelou
This map shows the geographic impact of Angelo Agathanggelou'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 Angelo Agathanggelou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Agathanggelou more than expected).
Fields of papers citing papers by Angelo Agathanggelou
This network shows the impact of papers produced by Angelo Agathanggelou. 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 Angelo Agathanggelou. The network helps show where Angelo Agathanggelou may publish in the future.
Co-authorship network of co-authors of Angelo Agathanggelou
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Agathanggelou. A scholar is included among the top collaborators of Angelo Agathanggelou 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 Angelo Agathanggelou. Angelo Agathanggelou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 211 | |
| 5 | 69 | |
| 6 | 1 | |
| 7 | 42 | |
| 8 | 76 | |
| 9 | 49 | |
| 10 | 93 | |
| 11 | 84 | |
| 12 | 100 | |
| 13 | 108 | |
| 14 | 336 | |
| 15 | 2 | |
| 16 | 165 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | The expression of variant CD44 in nasopharyngeal carcinoma is unrelated to expression of LMP-1. | 10 |
| 20 | 75 |
About Angelo Agathanggelou
Angelo Agathanggelou is a scholar working on Genetics, Oncology and Otorhinolaryngology, having authored 50 papers that have together received 3.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Viral-associated cancers and disorders (9 papers). The work is most often cited by research in Oncology (1.3k citations), Molecular Biology (2.1k citations) and Cancer Research (447 citations). Angelo Agathanggelou has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Farida Latif, Eamonn R. Maher, Gerald Niedobitek, Wendy N. Cooper, Lawrence S. Young, Ashraf Dallol, Sofia Honorio, Tatjana Stanković, John M. Nicholls and Hermann Herbst. Their work appears in journals such as The Lancet, Blood and Cancer Research.
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.