Stephen Della‐Fiorentina

726 citations
24 papers · 190 indexed · h-index 9
Topics
Breast Cancer Treatment Studies (7 papers)Cancer survivorship and care (5 papers)Palliative Care and End-of-Life Issues (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaAnnals of Oncology

In The Last Decade

Stephen Della‐Fiorentina

23 papers receiving 187 citations

Peers

Stephen Della‐Fiorentina
Comparison fields: 5 of 53
  • Oncology 119
  • Public Health, Environmental and Occupational Health 54
  • Pulmonary and Respiratory Medicine 39
  • Cancer Research 38
  • General Health Professions 27
Replace C. Farrell with:
C. Farrell United Kingdom
Deniz Gencer Germany
Elena Leinert Germany
A. H. Partridge United States
Susan T. Gershman United States
Elena Orlandi Italy
Laura A M Duineveld Netherlands
Leslie Byatt United States
S Nasso United States
Vida Almario Passero United States
Stephen Della‐Fiorentina relative to C. Farrell United Kingdom C. Farrell's profile →
Citations per field
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C. Farrell · 1×
Citations per year

Countries citing papers authored by Stephen Della‐Fiorentina

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Della‐Fiorentina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Della‐Fiorentina. 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 Stephen Della‐Fiorentina. The network helps show where Stephen Della‐Fiorentina may publish in the future.

Co-authorship network of co-authors of Stephen Della‐Fiorentina

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Della‐Fiorentina. A scholar is included among the top collaborators of Stephen Della‐Fiorentina 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 Stephen Della‐Fiorentina. Stephen Della‐Fiorentina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Translating evidence into practice through the PROMPT-care project: utilising patient reported outcome measures for personalised cancer treatment and care
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About Stephen Della‐Fiorentina

Stephen Della‐Fiorentina is a scholar working on Oncology, Cancer Research and Geriatrics and Gerontology, having authored 24 papers that have together received 190 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Cancer survivorship and care (5 papers) and Palliative Care and End-of-Life Issues (5 papers). The work is most often cited by research in Oncology (119 citations), Medical Terminology (1 citation) and Family Practice (6 citations). Stephen Della‐Fiorentina has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Weng Ng, Geoff P. Delaney, Belinda E. Kiely, Anthony Arnold, Andrew Miller, Martin Carolan, Afaf Girgis, Ivana Durcinoska, Joseph Descallar and Eng‐Siew Koh. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

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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