Philip Tracy
Impact in
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Oncology top 10%
- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
- HER2/EGFR in Cancer Research
Papers in
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- Lung Cancer Treatments and Mutations 3
- Medical Imaging and Pathology Studies 1
- Pulmonary Hypertension Research and Treatments 1
- Oncology 3
- HER2/EGFR in Cancer Research 2
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Nora Feeney (3 shared papers)Cloud P. Paweletz (3 shared papers)Kenneth S. Thress (3 shared papers)Yuebi Hu (3 shared papers)Geoffrey R. Oxnard (3 shared papers)Pasi A. Jänne (3 shared papers)Lynette M. Sholl (2 shared papers)Kathryn F. Mileham (2 shared papers)
- Journals
- Blood (2 papers)Current Oncology Reports (1 paper)Cancer Research (1 paper)JAMA Oncology (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Philip Tracy
5 papers receiving 541 citations
Philip Tracy's Hit Papers
Peers
Comparison fields: 5 of 34
- Pulmonary and Respiratory Medicine 451
- Oncology 255
- Cancer Research 131
- Molecular Biology 180
- Pathology and Forensic Medicine 32
Countries citing papers authored by Philip Tracy
This map shows the geographic impact of Philip Tracy'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 Philip Tracy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Tracy more than expected).
Fields of papers citing papers by Philip Tracy
This network shows the impact of papers produced by Philip Tracy. 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 Philip Tracy. The network helps show where Philip Tracy may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Tracy, 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 | Assessment of Resistance Mechanisms and Clinical Implications in Patients WithEGFRT790M–Positive Lung Cancer and Acquired Resistance to Osimertinib Hit paper breakdown → | 2018 | 525 |
| 2 | 2017 | 13 | |
| 3 | 2021 | 4 | |
| 4 | 2017 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2021 | 0 |
About Philip Tracy
Philip Tracy is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Nephrology and Genetics, having authored 7 papers that have together received 546 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), HER2/EGFR in Cancer Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Medical Imaging and Pathology Studies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Pulmonary Hypertension Research and Treatments (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (451 citations), Oncology (255 citations), Cancer Research (131 citations), Molecular Biology (180 citations) and Pathology and Forensic Medicine (32 citations). Philip Tracy has collaborated with scholars based in United States and Italy. Frequent co-authors include Nora Feeney, Cloud P. Paweletz, Kenneth S. Thress, Yuebi Hu, Geoffrey R. Oxnard, Pasi A. Jänne, Lynette M. Sholl, Kathryn F. Mileham, Suzanne E. Dahlberg and David J. Kwiatkowski. Their work appears in journals such as Blood, Current Oncology Reports, Cancer Research, JAMA Oncology and Journal of Thoracic 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.