Tracy Murphy
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Cancer Genomics and Diagnostics
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 20
- Chronic Myeloid Leukemia Treatments 7
- Multiple Myeloma Research and Treatments 5
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- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Karen Yee (18 shared papers)Aaron D. Schimmer (18 shared papers)Steven M. Chan (19 shared papers)Mark D. Minden (20 shared papers)Liran I. Shlush (2 shared papers)Emily Heath (1 shared paper)Neal S. Goldstein (1 shared paper)Parinaz Mehdipour (1 shared paper)
- Journals
- Blood (13 papers)Leukemia (2 papers)British Journal of Haematology (2 papers)Nature Communications (1 paper)Blood Advances (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Tracy Murphy
28 papers receiving 478 citations
Peers
Comparison fields: 5 of 60
- Hematology 242
- Cancer Research 83
- Genetics 57
- Molecular Biology 220
- Internal Medicine 9
Countries citing papers authored by Tracy Murphy
This map shows the geographic impact of Tracy Murphy'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 Tracy Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Murphy more than expected).
Fields of papers citing papers by Tracy Murphy
This network shows the impact of papers produced by Tracy Murphy. 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 Tracy Murphy. The network helps show where Tracy Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2017 | 127 | |
| 3 | 2019 | 34 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 29 | |
| 6 | 1996 | 29 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2009 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 2 |
About Tracy Murphy
Tracy Murphy is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Cancer Research, having authored 30 papers that have together received 478 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Acute Lymphoblastic Leukemia research (10 papers), Chronic Myeloid Leukemia Treatments (7 papers), Cancer Genomics and Diagnostics (5 papers), Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Microtubule and mitosis dynamics (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (242 citations), Cancer Research (83 citations), Genetics (57 citations), Molecular Biology (220 citations) and Internal Medicine (9 citations). Tracy Murphy has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Karen Yee, Aaron D. Schimmer, Steven M. Chan, Mark D. Minden, Liran I. Shlush, Emily Heath, Neal S. Goldstein, Parinaz Mehdipour, Daniel D. De Carvalho and Vikas Gupta. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Nature Communications and Blood Advances.
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.