Thomas Hattier
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Glioma Diagnosis and Treatment
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Protein Tyrosine Phosphatases 2
- Genomics and Phylogenetic Studies 2
- Biochemical and Structural Characterization 1
- Receptor Mechanisms and Signaling 1
- Genetics 3
- BRCA gene mutations in cancer 3
- Co-authors
- Mark A. Pershouse (1 shared paper)Lauren A. Langford (1 shared paper)Azra Hadi Ligon (1 shared paper)Rong Hua Hu (1 shared paper)Peter A. Steck (1 shared paper)Huai Lin (1 shared paper)Sean V. Tavtigian (2 shared papers)W.K. Alfred Yung (1 shared paper)
- Journals
- Nature Genetics (2 papers)Mammalian Genome (1 paper)BMC Cell Biology (1 paper)Genomics (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
Thomas Hattier
9 papers receiving 3.5k citations
Thomas Hattier's Hit Papers
Peers
Comparison fields: 5 of 93
- Genetics 295
- Genetics 789
- Molecular Biology 1.5k
- Cancer Research 278
- Aging 23
Countries citing papers authored by Thomas Hattier
This map shows the geographic impact of Thomas Hattier'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 Thomas Hattier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hattier more than expected).
Fields of papers citing papers by Thomas Hattier
This network shows the impact of papers produced by Thomas Hattier. 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 Thomas Hattier. The network helps show where Thomas Hattier may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hattier, 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 | Identification of a candidate tumour suppressor gene, MMAC1, at chromosome 10q23.3 that is mutated in multiple advanced cancers Hit paper breakdown → | 1997 | 2368 |
| 2 | The complete BRCA2 gene and mutations in chromosome 13q-linked kindreds Hit paper breakdown → | 1996 | 690 |
| 3 | 2005 | 257 | |
| 4 | Human mitogen-activated protein kinase kinase 4 as a candidate tumor suppressor. | 1997 | 172 |
| 5 | 2011 | 43 | |
| 6 | 1996 | 30 | |
| 7 | 2007 | 29 | |
| 8 | 2021 | 23 | |
| 9 | 1995 | 4 |
About Thomas Hattier
Thomas Hattier is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Oncology and Physiology, having authored 9 papers that have together received 3.6k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Protein Tyrosine Phosphatases (2 papers), Genomics and Phylogenetic Studies (2 papers), Biochemical and Structural Characterization (1 paper), Trace Elements in Health (1 paper), Receptor Mechanisms and Signaling (1 paper), Alzheimer's disease research and treatments (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Genetics (295 citations), Genetics (789 citations), Molecular Biology (1.5k citations), Cancer Research (278 citations) and Aging (23 citations). Thomas Hattier has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Mark A. Pershouse, Lauren A. Langford, Azra Hadi Ligon, Rong Hua Hu, Peter A. Steck, Huai Lin, Sean V. Tavtigian, W.K. Alfred Yung, Samar A. Jasser and Thaylon Davis. Their work appears in journals such as Nature Genetics, Mammalian Genome, BMC Cell Biology, Genomics and Cell Death and Disease.
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.