Thomas Hattier
Impact in
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Polyamine Metabolism and Applications
- Protein Tyrosine Phosphatases
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 2
- Protein Tyrosine Phosphatases 1
- Genetics 2
- Animal Genetics and Reproduction 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- W.K. Alfred Yung (1 shared paper)Samar A. Jasser (1 shared paper)Peter A. Steck (1 shared paper)Rong Hu (1 shared paper)Cheryl A. Frye (1 shared paper)Lauren A. Langford (1 shared paper)Huai Lin (1 shared paper)Mark A. Pershouse (1 shared paper)
- Journals
- Nature Genetics (1 paper)Mammalian Genome (1 paper)Cell Death and Disease (1 paper)Journal of Biological Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Thomas Hattier
7 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Genetics 333
- Molecular Biology 2.1k
- Cancer Research 390
- Pathology and Forensic Medicine 359
- Oncology 488
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 | 2266 |
| 2 | 2005 | 232 | |
| 3 | 2011 | 38 | |
| 4 | 2007 | 28 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 6 | |
| 7 | 1995 | 3 |
About Thomas Hattier
Thomas Hattier is a scholar working on Molecular Biology, Genetics, Cancer Research, Cell Biology and Plant Science, having authored 7 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Animal Genetics and Reproduction (1 paper), Protein Tyrosine Phosphatases (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Genetically Modified Organisms Research (1 paper). The work is most often cited by research in Genetics (333 citations), Molecular Biology (2.1k citations), Cancer Research (390 citations), Pathology and Forensic Medicine (359 citations) and Oncology (488 citations). Thomas Hattier has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include W.K. Alfred Yung, Samar A. Jasser, Peter A. Steck, Rong Hu, Cheryl A. Frye, Lauren A. Langford, Huai Lin, Mark A. Pershouse, Thaylon Davis and Sean V. Tavtigian. Their work appears in journals such as Nature Genetics, Mammalian Genome, Cell Death and Disease, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.