F Page

492 citations
5 papers · 225 · h-index 4

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

F Page

4 papers receiving 213 citations

Peers

F Page
Comparison fields: 5 of 39
  • Hematology 170
  • Genetics 47
  • Emergency Medicine 20
  • Immunology and Allergy 11
  • Public Health, Environmental and Occupational Health 48
Replace Daniela Piccioni with:
Daniela Piccioni Italy
Guillermo Gutiérrez-Espı́ndola Mexico
D. Bowen United Kingdom
Maria Socorro O Portella United States
Ole Maywald Germany
J Voglová Czechia
Anna Christoforidou Greece
Sophie Dobbelstein France
James E. Radford United States
Maja Hinge Denmark
F Page relative to Daniela Piccioni Italy Daniela Piccioni's profile →
Citations per field
00.5×3.7×
Daniela Piccioni · 1×
Citations per year

Countries citing papers authored by F Page

Since Specialization
Citations

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

Fields of papers citing papers by F Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F Page. 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 F Page. The network helps show where F Page may publish in the future.

Co-authors

The 13 scholars most cited alongside F Page, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F Page Line = papers co-authored together F Page links everyone, so they are left out of the graph.

All Works

About F Page

F Page is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Hematology, Surgery and Nutrition and Dietetics, having authored 5 papers that have together received 225 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Lipoproteins and Cardiovascular Health (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Health Promotion and Cardiovascular Prevention (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Ethics in Clinical Research (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Hematology (170 citations), Genetics (47 citations), Emergency Medicine (20 citations), Immunology and Allergy (11 citations) and Public Health, Environmental and Occupational Health (48 citations). F Page has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include James F. Bishop, Jane Matthews, Elizabeth M. Benson, K. F. Bradstock, Kenneth F. Bradstock, Maxim D. Hammer, P Elton, Janey M. Stone, Christine Laidlaw and I. A. Cooper. Their work appears in journals such as Blood, Nutrition Research Reviews, Journal of Epidemiology & Community Health and Australian and New Zealand Journal of Medicine.

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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