Rob Dee

1.3k citations
12 papers · 1.1k · h-index 9

Impact in

  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

Rob Dee

12 papers receiving 1.1k citations

Peers

Rob Dee
Comparison fields: 5 of 66
  • Hematology 508
  • Genetics 216
  • Neurology 144
  • Public Health, Environmental and Occupational Health 239
  • Cancer Research 104
Replace Carin Lassen with:
Carin Lassen Sweden
Patricia Thompson United States
Tomoya Muto Japan
Sarah Hutchings Canada
Gordon W. Dewald United States
Timothy M. Chlon United States
Jinlan Pan China
Michael I. Barbato United States
Alexis Dumortier Switzerland
Lisa Jane Russell United Kingdom
Rob Dee relative to Carin Lassen Sweden Carin Lassen's profile →
Citations per field
00.5×2×2.7×
Carin Lassen · 1×
Citations per year

Countries citing papers authored by Rob Dee

Since Specialization
Citations

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

Fields of papers citing papers by Rob Dee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003761
2 200882
3 201079
4 200965
5 201225
6 200222
7 199322
8
A young child with acquired t(8;9)(p11;q34): additional proof that 8p11 is involved in mixed myeloid/T lymphoid malignancies.
199621
9 200014
10 20076
11 20003
12 20082

About Rob Dee

Rob Dee is a scholar working on Hematology, Immunology and Allergy, Public Health, Environmental and Occupational Health, Neurology and Immunology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cell Adhesion Molecules Research (2 papers), Neuroblastoma Research and Treatments (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Hematology (508 citations), Genetics (216 citations), Neurology (144 citations), Public Health, Environmental and Occupational Health (239 citations) and Cancer Research (104 citations). Rob Dee has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include C. Ellen van der Schoot, Jacques J. M. van Dongen, Thomas Lion, Franz Watzinger, J Gäbert, Elizabeth Anne Macintyre-Davi, Peter Hokland, Enrico Gottardi, Niels Pallisgaard and Vincent H. J. van der Velden. Their work appears in journals such as British Journal of Haematology, Leukemia, Journal of Cell Science, Blood and Journal of Clinical 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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