Joan T. Garrett
- Molecular Biology top 10%
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Carlos L. ArteagaRosalin MishraSamar AlanaziHima PatelBrent N. RexerTodd W. MillerLong YuanRebecca S. Cook
- Topics
- HER2/EGFR in Cancer Research (18 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Joan T. Garrett
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.2k
- Oncology 1.1k
- Radiology, Nuclear Medicine and Imaging 599
- Pulmonary and Respiratory Medicine 392
- Cancer Research 229
Countries citing papers authored by Joan T. Garrett
This map shows the geographic impact of Joan T. Garrett'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 Joan T. Garrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan T. Garrett more than expected).
Fields of papers citing papers by Joan T. Garrett
This network shows the impact of papers produced by Joan T. Garrett. 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 Joan T. Garrett. The network helps show where Joan T. Garrett may publish in the future.
Co-authorship network of co-authors of Joan T. Garrett
This figure shows the co-authorship network connecting the top 25 collaborators of Joan T. Garrett. A scholar is included among the top collaborators of Joan T. Garrett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan T. Garrett. Joan T. Garrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 19 | |
| 5 | PI3K Inhibitors in Cancer: Clinical Implications and Adverse Effectsbreakdown → | 194 |
| 6 | 132 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 140 | |
| 11 | 89 | |
| 12 | 72 | |
| 13 | 81 | |
| 14 | 1 | |
| 15 | 64 | |
| 16 | 359 | |
| 17 | 359 | |
| 18 | 145 | |
| 19 | 45 | |
| 20 | 49 |
About Joan T. Garrett
Joan T. Garrett is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Oncology (1.1k citations), Radiology, Nuclear Medicine and Imaging (599 citations) and Genetics (206 citations). Joan T. Garrett has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Carlos L. Arteaga, Rosalin Mishra, Samar Alanazi, Hima Patel, Brent N. Rexer, Todd W. Miller, Long Yuan, Rebecca S. Cook, Anindita Chakrabarty and Cammie Rinehart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.