Jane A. Thick

872 citations
9 papers · 755 · h-index 8

Impact in

  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and Retrovirus Studies
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • BRCA gene mutations in cancer

Papers in

Jane A. Thick

9 papers receiving 704 citations

Peers

Jane A. Thick
Comparison fields: 5 of 45
  • Immunology 176
  • Genetics 77
  • Pathology and Forensic Medicine 114
  • Molecular Biology 350
  • Cellular and Molecular Neuroscience 71
Replace Tina Bedenham with:
Tina Bedenham United Kingdom
Anatoliy P. Koval United States
Paul Biggs United Kingdom
Takahiro Itoyama Japan
Freda E. Yoder United States
Teresa Liang United States
Michael L. Deftos United States
Corinne Leprince France
G.C. Beverstock Netherlands
Ethan W. Ojala United States
Jane A. Thick relative to Tina Bedenham United Kingdom Tina Bedenham's profile →
Citations per field
00.5×2×3.4×
Tina Bedenham · 1×
Citations per year

Countries citing papers authored by Jane A. Thick

Since Specialization
Citations

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

Fields of papers citing papers by Jane A. Thick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane A. Thick. 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 Jane A. Thick. The network helps show where Jane A. Thick may publish in the future.

Co-authors

The 22 scholars most cited alongside Jane A. Thick, 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 Jane A. Thick Line = papers co-authored together Jane A. Thick links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1996500
2 199686
3 199043
4 198838
5
Expression of either the TCL1 oncogene, or transcripts from its homologue MTCP1/c6.1B, in leukaemic and non-leukaemic T cells from ataxia telangiectasia patients.
199634
6
A gene on chromosome Xq28 associated with T-cell prolymphocytic leukemia in two patients with ataxia telangiectasia.
199420
7
Development of T-cell leukaemia in an ataxia telangiectasia patient following clonal selection in t(X;14)-containing lymphocytes.
199215
8 199215
9 19884

About Jane A. Thick

Jane A. Thick is a scholar working on Immunology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Genetics, having authored 9 papers that have together received 755 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), DNA Repair Mechanisms (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Nuclear Structure and Function (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Immunology (176 citations), Genetics (77 citations), Pathology and Forensic Medicine (114 citations), Molecular Biology (350 citations) and Cellular and Molecular Neuroscience (71 citations). Jane A. Thick has collaborated with scholars based in United Kingdom. Frequent co-authors include Alexander Malcolm R. Taylor, Carmel M. McConville, Paul R. Cooper, Julian Parkhill, Tatjana Stanković, P.J. Byrd, Caroline J. Formstone, David Beatty, Diana Hernandez and Janet M. Lord. Their work appears in journals such as Genes Chromosomes and Cancer, Journal of Cell Science, Blood, Human Molecular Genetics and Analytical Biochemistry.

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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