Gabrielle S. Sellick

4.1k citations
40 papers · 1.6k indexed · h-index 22
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 16
    • Genomic variations and chromosomal abnormalities 6
    • Genetic Associations and Epidemiology 5
    • BRCA gene mutations in cancer 4
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 16
    • Genomic variations and chromosomal abnormalities 6
    • Genetic Associations and Epidemiology 5
    • BRCA gene mutations in cancer 4
    • Genetic factors in colorectal cancer 7
    • Lymphoma Diagnosis and Treatment 4
    • RNA modifications and cancer 4
  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders 6

Gabrielle S. Sellick

40 papers receiving 1.6k citations

Peers

Gabrielle S. Sellick
Comparison fields: 5 of 94
  • Genetics 306
  • Genetics 610
  • Pathology and Forensic Medicine 285
  • Molecular Biology 762
  • Immunology 227
Replace Barbara K. Goodman with:
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Citations per field
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Citations per year

Countries citing papers authored by Gabrielle S. Sellick

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle S. Sellick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle S. Sellick. 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 Gabrielle S. Sellick. The network helps show where Gabrielle S. Sellick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20091
2 20086
3 20085
4 200816
5 200817
6 200717
7 200739
8 200759
9 20071
10 200788
11 200616
12 20066
13 200635
14 2006156
15 200551
16 20052
17 200537
18 200521
19 200444
20 20044

About Gabrielle S. Sellick

Gabrielle S. Sellick is a scholar working on Genetics, Pathology and Forensic Medicine, Genetics, Immunology and Molecular Biology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Genetic factors in colorectal cancer (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genetic Associations and Epidemiology (5 papers), BRCA gene mutations in cancer (4 papers), RNA modifications and cancer (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (306 citations), Genetics (610 citations), Pathology and Forensic Medicine (285 citations), Molecular Biology (762 citations) and Immunology (227 citations). Gabrielle S. Sellick has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard S. Houlston, Emily L. Webb, Daniel Catovsky, Matthew Rudd, Christine Garrett, Christina Fleischmann, R. Coleman, Peter K. Wellauer, Graham H. Goodwin and Karen Barker. Their work appears in journals such as Human Molecular Genetics, Cancer Epidemiology Biomarkers & Prevention, Blood, Leukemia Research and British Journal of 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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