Susan Davies
- Molecular Biology top 10%
- Hepatology top 1%
- Surgery top 5%
- Epidemiology top 5%
- Cancer Research top 5%
- Co-authors
- Kevin M. PriseB.D. MichaelBarry D. MichaelGabriel NúñezCaroline OsborneSatish KeshavYasunori OguraOlagunju Ogunbiyi
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)DNA Repair Mechanisms (7 papers)Liver Disease and Transplantation (7 papers)
- Cited by
- HepatologyCancer ResearchImmunology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Susan Davies
50 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 972
- Hepatology 582
- Surgery 553
- Epidemiology 546
- Cancer Research 442
Countries citing papers authored by Susan Davies
This map shows the geographic impact of Susan Davies'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 Susan Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Davies more than expected).
Fields of papers citing papers by Susan Davies
This network shows the impact of papers produced by Susan Davies. 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 Susan Davies. The network helps show where Susan Davies may publish in the future.
Co-authorship network of co-authors of Susan Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Davies. A scholar is included among the top collaborators of Susan Davies 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 Susan Davies. Susan Davies 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 | 34 | |
| 3 | 6 | |
| 4 | Guidelines on the use of liver biopsy in clinical practice from the British Society of Gastroenterology, the Royal College of Radiologists and the Royal College of Pathologybreakdown → | 229 |
| 5 | 59 | |
| 6 | 4 | |
| 7 | Cholangiocytes derived from human induced pluripotent stem cells for disease modeling and drug validationbreakdown → | 285 |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 32 | |
| 13 | 399 | |
| 14 | 53 | |
| 15 | 78 | |
| 16 | 17 | |
| 17 | 39 | |
| 18 | Chemical repair of DNA single-strand and double-strand break precursor radicals - implications for models of chemical modification | 1 |
| 19 | 74 | |
| 20 | 10 |
About Susan Davies
Susan Davies is a scholar working on Hepatology, Cancer Research and Epidemiology, having authored 52 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), DNA Repair Mechanisms (7 papers) and Liver Disease and Transplantation (7 papers). The work is most often cited by research in Hepatology (582 citations), Cancer Research (442 citations) and Immunology (342 citations). Susan Davies has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Kevin M. Prise, B.D. Michael, Barry D. Michael, Gabriel Núñez, Caroline Osborne, Satish Keshav, Yasunori Ogura, Olagunju Ogunbiyi, Sanjay G. Lala and P. O’Neill. Their work appears in journals such as Nature, Nature Communications 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.