Tiffany A. Traina
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cancer Cells and Metastasis
- PARP inhibition in cancer therapy
Papers in
- Oncology 107
- Cancer Treatment and Pharmacology 53
- HER2/EGFR in Cancer Research 43
- PARP inhibition in cancer therapy 19
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- Breast Cancer Treatment Studies 36
- Cancer Genomics and Diagnostics 14
- Co-authors
- Ayca GucalpClifford A. HudisSujata PatilLarry NortonWilliam L. GeraldEric P. WinerKaren A. CadooHope S. Rugo
- Journals
- Journal of Clinical Oncology (53 papers)Cancer Research (14 papers)Breast Cancer Research and Treatment (11 papers)Clinical Breast Cancer (7 papers)Clinical Cancer Research (6 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Tiffany A. Traina
136 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 1.6k
- Oncology 2.4k
- Pulmonary and Respiratory Medicine 1.4k
- Genetics 698
- Genetics 251
Countries citing papers authored by Tiffany A. Traina
This map shows the geographic impact of Tiffany A. Traina'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 Tiffany A. Traina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany A. Traina more than expected).
Fields of papers citing papers by Tiffany A. Traina
This network shows the impact of papers produced by Tiffany A. Traina. 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 Tiffany A. Traina. The network helps show where Tiffany A. Traina may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiffany A. Traina, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 9 | |
| 10 | 2017 | 42 | |
| 11 | 2016 | 8 | |
| 12 | 2015 | 75 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 17 | |
| 15 | 2013 | 97 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 107 | |
| 18 | 2009 | 299 | |
| 19 | 2009 | 35 | |
| 20 | 2007 | 23 |
About Tiffany A. Traina
Tiffany A. Traina is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Genetics, having authored 146 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (54 papers), Cancer Treatment and Pharmacology (53 papers), HER2/EGFR in Cancer Research (43 papers), Breast Cancer Treatment Studies (36 papers), Estrogen and related hormone effects (19 papers), PARP inhibition in cancer therapy (19 papers), Prostate Cancer Treatment and Research (16 papers) and Cancer Genomics and Diagnostics (14 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (2.4k citations), Pulmonary and Respiratory Medicine (1.4k citations), Genetics (698 citations) and Genetics (251 citations). Tiffany A. Traina has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Ayca Gucalp, Clifford A. Hudis, Sujata Patil, Larry Norton, William L. Gerald, Eric P. Winer, Karen A. Cadoo, Hope S. Rugo, Kevin Kalinsky and Anthony Elias. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Breast Cancer Research and Treatment, Clinical Breast Cancer and Clinical Cancer Research.
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.