Thomas G. D'Aquila
Impact in
- Hepatology top 5%
- Liver physiology and pathology
-
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- Cancer-related gene regulation 3
- Kruppel-like factors research 1
- Ubiquitin and proteasome pathways 1
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- Tuberculosis Research and Epidemiology 1
- Co-authors
- David L. Rimm (9 shared papers)Eric R. Fearon (1 shared paper)Rola A.D. Ghoussoub (1 shared paper)Eric B. Rimm (1 shared paper)Deborah Dillon (1 shared paper)Giovanni Tallini (1 shared paper)Robert L. Camp (2 shared papers)Elayne Provost (3 shared papers)
- Journals
- Cancer (3 papers)International Journal of Cancer (1 paper)Journal of Biological Chemistry (1 paper)Diagnostic Cytopathology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Thomas G. D'Aquila
11 papers receiving 603 citations
Peers
Comparison fields: 5 of 59
- Hepatology 123
- Oncology 187
- Endocrinology, Diabetes and Metabolism 82
- Cancer Research 66
- Molecular Biology 285
Countries citing papers authored by Thomas G. D'Aquila
This map shows the geographic impact of Thomas G. D'Aquila'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 G. D'Aquila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. D'Aquila more than expected).
Fields of papers citing papers by Thomas G. D'Aquila
This network shows the impact of papers produced by Thomas G. D'Aquila. 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 G. D'Aquila. The network helps show where Thomas G. D'Aquila may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas G. D'Aquila, 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 | 1998 | 176 | |
| 2 | Frequent mutation and nuclear localization of beta-catenin in anaplastic thyroid carcinoma. | 1999 | 145 |
| 3 | 2003 | 81 | |
| 4 | 2002 | 51 | |
| 5 | Detection of chromosomal instability in paired breast surgery and ductal lavage specimens by interphase fluorescence in situ hybridization. | 2003 | 42 |
| 6 | 2003 | 39 | |
| 7 | 2004 | 28 | |
| 8 | Molecular cloning and characterization of Na,K-ATPase from Hydra vulgaris: implications for enzyme evolution and ouabain sensitivity. | 1992 | 24 |
| 9 | 1989 | 13 | |
| 10 | 2000 | 6 | |
| 11 | 1997 | 4 |
About Thomas G. D'Aquila
Thomas G. D'Aquila is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Paleontology and Oncology, having authored 11 papers that have together received 609 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (3 papers), Cell Adhesion Molecules Research (1 paper), Kruppel-like factors research (1 paper), Tuberculosis Research and Epidemiology (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Cells and Metastasis (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Hepatology (123 citations), Oncology (187 citations), Endocrinology, Diabetes and Metabolism (82 citations), Cancer Research (66 citations) and Molecular Biology (285 citations). Thomas G. D'Aquila has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include David L. Rimm, Eric R. Fearon, Rola A.D. Ghoussoub, Eric B. Rimm, Deborah Dillon, Giovanni Tallini, Robert L. Camp, Elayne Provost, Idris Tolgay Ocal and Marisa Dolled‐Filhart. Their work appears in journals such as Cancer, International Journal of Cancer, Journal of Biological Chemistry, Diagnostic Cytopathology and Oncogene.
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.