Fotios Sampaziotis
- Infectious Diseases top 1%
- Molecular Biology
- Surgery top 10%
- Neurology top 2%
- Hepatology top 2%
- Co-authors
- Marijn BergMasahiro YoshidaCarlos Talavera‐LópezNi HuangChristophe BécavinDaniel ReichartRachel QueenMonika Litviňuková
- Topics
- Liver physiology and pathology (9 papers)Pediatric Hepatobiliary Diseases and Treatments (9 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Fotios Sampaziotis
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 1.1k
- Molecular Biology 588
- Surgery 521
- Neurology 501
- Hepatology 359
Countries citing papers authored by Fotios Sampaziotis
This map shows the geographic impact of Fotios Sampaziotis'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 Fotios Sampaziotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fotios Sampaziotis more than expected).
Fields of papers citing papers by Fotios Sampaziotis
This network shows the impact of papers produced by Fotios Sampaziotis. 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 Fotios Sampaziotis. The network helps show where Fotios Sampaziotis may publish in the future.
Co-authorship network of co-authors of Fotios Sampaziotis
This figure shows the co-authorship network connecting the top 25 collaborators of Fotios Sampaziotis. A scholar is included among the top collaborators of Fotios Sampaziotis 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 Fotios Sampaziotis. Fotios Sampaziotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genesbreakdown → | 1696 |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 142 | |
| 10 | 17 | |
| 11 | 78 | |
| 12 | 5 | |
| 13 | 85 | |
| 14 | 16 | |
| 15 | 22 | |
| 16 | Cholangiocytes derived from human induced pluripotent stem cells for disease modeling and drug validationbreakdown → | 285 |
| 17 | 10 | |
| 18 | 38 | |
| 19 | 1 | |
| 20 | 10 |
About Fotios Sampaziotis
Fotios Sampaziotis is a scholar working on Hepatology, Surgery and Oncology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), Pediatric Hepatobiliary Diseases and Treatments (9 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Hepatology (359 citations) and Neurology (501 citations). Fotios Sampaziotis has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marijn Berg, Masahiro Yoshida, Carlos Talavera‐López, Ni Huang, Christophe Bécavin, Daniel Reichart, Rachel Queen, Monika Litviňuková, Waradon Sungnak and Kaylee B. Worlock. Their work appears in journals such as Science, Nature Medicine and Nature Biotechnology.
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.