J. Thick
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- DNA Repair Mechanisms 6
- RNA Interference and Gene Delivery 1
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Adam Taylor (1 shared paper)A. Malcolm R. Taylor (6 shared papers)Carmel McConville (2 shared papers)Tatjana Stanković (1 shared paper)Paul R. Cooper (1 shared paper)Julian Parkhill (1 shared paper)P.J. Byrd (1 shared paper)David Beatty (3 shared papers)
- Journals
- Nucleic Acids Research (1 paper)Blood (1 paper)Analytical Biochemistry (1 paper)Human Molecular Genetics (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
J. Thick
9 papers receiving 665 citations
Peers
Comparison fields: 5 of 53
- Genetics 111
- Cancer Research 155
- Oncology 229
- Molecular Biology 458
- Pathology and Forensic Medicine 105
Countries citing papers authored by J. Thick
This map shows the geographic impact of J. 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 J. Thick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Thick more than expected).
Fields of papers citing papers by J. Thick
This network shows the impact of papers produced by J. 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 J. Thick. The network helps show where J. Thick may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Thick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 439 | |
| 2 | 1996 | 84 | |
| 3 | 1990 | 39 | |
| 4 | 1988 | 39 | |
| 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. | 1996 | 36 |
| 6 | A gene on chromosome Xq28 associated with T-cell prolymphocytic leukemia in two patients with ataxia telangiectasia. | 1994 | 20 |
| 7 | 1992 | 13 | |
| 8 | Development of T-cell leukaemia in an ataxia telangiectasia patient following clonal selection in t(X;14)-containing lymphocytes. | 1992 | 13 |
| 9 | 1988 | 4 |
About J. Thick
J. Thick is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 687 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), T-cell and Retrovirus Studies (2 papers), CAR-T cell therapy research (2 papers), Acute Myeloid Leukemia Research (1 paper), Blood properties and coagulation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Genetic Neurodegenerative Diseases (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (111 citations), Cancer Research (155 citations), Oncology (229 citations), Molecular Biology (458 citations) and Pathology and Forensic Medicine (105 citations). J. Thick has collaborated with scholars based in United Kingdom. Frequent co-authors include Adam Taylor, A. Malcolm R. Taylor, Carmel McConville, Tatjana Stanković, Paul R. Cooper, Julian Parkhill, P.J. Byrd, David Beatty, Judith A. Metcalfe and Caroline J. Formstone. Their work appears in journals such as Nucleic Acids Research, Blood, Analytical Biochemistry, Human Molecular Genetics 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.