Daniel Rayson

5.1k citations
125 papers · 4k · h-index 34

Impact in

  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Cancer survivorship and care
    • Breast Cancer Treatment Studies

Papers in

Daniel Rayson

118 papers receiving 3.9k citations

Peers

Daniel Rayson
Comparison fields: 5 of 117
  • Oncology 1.2k
  • Cancer Research 637
  • Pathology and Forensic Medicine 376
  • Dermatology 176
  • Cardiology and Cardiovascular Medicine 339
Replace Alison Jones with:
Alison Jones United Kingdom
Paolo Pronzato Italy
Louise Provencher Canada
Elisabetta Abruzzese Italy
Vivek Roy United States
Gabriel Étienne France
Vernon J. Harvey New Zealand
Andrea Veronesi Italy
Gianantonio Rosti Italy
Gerardo Colón‐Otero United States
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Daniel Rayson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Rayson, 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 Daniel Rayson Line = papers co-authored together Daniel Rayson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011273
2 2016270
3 2016191
4 1999181
5 1998125
6 2009119
7 2008100
8 2015100
9 201293
10 201991
11 200587
12 200685
13 200885
14 201477
15 199876
16 201672
17 201069
18 202163
19 201161
20 200860

About Daniel Rayson

Daniel Rayson is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 125 papers that have together received 4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), HER2/EGFR in Cancer Research (14 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), BRCA gene mutations in cancer (11 papers), Breast Lesions and Carcinomas (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Palliative and Oncologic Care (7 papers) and Chemotherapy-induced cardiotoxicity and mitigation (6 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (637 citations), Pathology and Forensic Medicine (376 citations), Dermatology (176 citations) and Cardiology and Cardiovascular Medicine (339 citations). Daniel Rayson has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Tallal Younis, Chris D. Skedgel, Stephen Chia, Penny J. Barnes, James N. Ingle, Lester E. Wold, Vera Jean Suman, T. Younis, Karen A. Gelmon and Susan Faye Dent. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Annals of Oncology, Clinical Breast Cancer and Cancer.

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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