Thomas Hattier
Impact in
- Genetics top 2%
- 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
- Ubiquitin and proteasome pathways 1
- Fungal and yeast genetics research 1
- Genetics 2
- Animal Genetics and Reproduction 1
- Co-authors
- W.K. Alfred Yung (1 shared paper)Huai Lin (1 shared paper)Thaylon Davis (1 shared paper)Samar A. Jasser (1 shared paper)Cheryl A. Frye (1 shared paper)Sean V. Tavtigian (2 shared papers)Azra H. Ligon (1 shared paper)Peter A. Steck (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)Journal of Biological Chemistry (1 paper)Cell Death and Disease (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United StatesAustraliaPortugal
In The Last Decade
Thomas Hattier
7 papers receiving 2.5k citations
Thomas Hattier's Hit Papers
Peers
Comparison fields: 5 of 90
- Genetics 315
- Molecular Biology 2.0k
- Cancer Research 337
- Pathology and Forensic Medicine 310
- Oncology 425
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 | 234 | |
| 3 | 2011 | 38 | |
| 4 | 2007 | 28 | |
| 5 | 2021 | 15 | |
| 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), Ubiquitin and proteasome pathways (1 paper), Genetically Modified Organisms Research (1 paper), Animal Genetics and Reproduction (1 paper), Fungal and yeast genetics research (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Genetics (315 citations), Molecular Biology (2.0k citations), Cancer Research (337 citations), Pathology and Forensic Medicine (310 citations) and Oncology (425 citations). Thomas Hattier has collaborated with scholars based in United States, Australia and Portugal. Frequent co-authors include W.K. Alfred Yung, Huai Lin, Thaylon Davis, Samar A. Jasser, Cheryl A. Frye, Sean V. Tavtigian, Azra H. Ligon, Peter A. Steck, Lauren A. Langford and Rong Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, Journal of Biological Chemistry, Cell Death and Disease and Mammalian Genome.
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.