Mark Aspinall-O’Dea

464 citations
14 papers · 370 · h-index 11

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

Mark Aspinall-O’Dea

12 papers receiving 367 citations

Peers

Mark Aspinall-O’Dea
Comparison fields: 5 of 75
  • Hematology 74
  • Genetics 39
  • Molecular Biology 245
  • Cancer Research 52
  • Biochemistry 20
Replace Chiara Soncini with:
Chiara Soncini Italy
Dan Lim United States
Jacob P. Turowec Canada
Dorian Immler Germany
Brittany C. Lipchick United States
Yusuke Kamada Japan
Ian Bruce United Kingdom
Emily E. Fink United States
Gillian L. Dornan Canada
Nadia Terziyska Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mark Aspinall-O’Dea

Since Specialization
Citations

This map shows the geographic impact of Mark Aspinall-O’Dea'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 Mark Aspinall-O’Dea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Aspinall-O’Dea more than expected).

Fields of papers citing papers by Mark Aspinall-O’Dea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Aspinall-O’Dea. 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 Mark Aspinall-O’Dea. The network helps show where Mark Aspinall-O’Dea may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Aspinall-O’Dea, 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 Mark Aspinall-O’Dea Line = papers co-authored together Mark Aspinall-O’Dea links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200296
2 201480
3 200940
4 201833
5 200927
6 201420
7 201617
8 201316
9 201215
10 200715
11 201410
12 20251
13 20250
14 20140

About Mark Aspinall-O’Dea

Mark Aspinall-O’Dea is a scholar working on Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Immunology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Biosensors and Analytical Detection (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hematology (74 citations), Genetics (39 citations), Molecular Biology (245 citations), Cancer Research (52 citations) and Biochemistry (20 citations). Mark Aspinall-O’Dea has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Eithne Costello, Anthony D. Whetton, Peter Horton, Bruno Robert, Alexander V. Ruban, Andrew A. Pascal, Mark Wentworth, Andrew Pierce, Tessa L. Holyoake and Mary T. Scott. Their work appears in journals such as Stem Cells, Toxicologic Pathology, BMJ Open Respiratory Research, Journal of Proteomics and Proceedings of the National Academy of Sciences.

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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