Shayne Atkinson

416 citations
11 papers · 291 · h-index 10

Impact in

Papers in

Shayne Atkinson

11 papers receiving 277 citations

Peers

Shayne Atkinson
Comparison fields: 5 of 33
  • Genetics 213
  • Pathology and Forensic Medicine 204
  • Hematology 49
  • Oncology 100
  • Immunology 69
Replace Gavin Babbage with:
Gavin Babbage United Kingdom
Dominique Penther France
Noelia Purroy Spain
Ewa Wąsik‐Szczepanek Poland
Sharron Glide United Kingdom
Nele Fourneau United States
Adéla Berková Czechia
Takaaki Chou Japan
Fiona Bennett United Kingdom
Carsten Schwänen Germany
Shayne Atkinson relative to Gavin Babbage United Kingdom Gavin Babbage's profile →
Citations per field
00.5×1.6×
Gavin Babbage · 1×
Citations per year

Countries citing papers authored by Shayne Atkinson

Since Specialization
Citations

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

Fields of papers citing papers by Shayne Atkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200441
2 200440
3 200439
4 200334
5 199932
6 200127
7 200123
8 200219
9
Polycythemia vera: analysis of DNA from blood granulocytes using comparative genomic hybridization.
200117
10 200516
11 20013

About Shayne Atkinson

Shayne Atkinson is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Genetics and Molecular Biology, having authored 11 papers that have together received 291 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (4 papers), Cancer-related Molecular Pathways (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Advanced Breast Cancer Therapies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Genetics (213 citations), Pathology and Forensic Medicine (204 citations), Hematology (49 citations), Oncology (100 citations) and Immunology (69 citations). Shayne Atkinson has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Daniel Catovsky, Estella Matutes, Ricardo Morilla, Alicja Gruszka, Roger A’Hern, Patrick Thornton, Manal O. Elnenaei, Andrew Wotherspoon, Rifat Hamoudi and Vasantha Brito‐Babapulle. Their work appears in journals such as Leukemia Research, The Hematology Journal, British Journal of Haematology, Leukemia and Genes Chromosomes 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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