Tracy Murphy
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
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- Cancer Genomics and Diagnostics
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 15
- Multiple Myeloma Research and Treatments 2
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Karen W L Yee (10 shared papers)Aaron David Schimmer (10 shared papers)Mark David Minden (13 shared papers)Steven M. Chan (10 shared papers)Emily M. Heath (1 shared paper)Liran I. Shlush (2 shared papers)Neal S. Goldstein (1 shared paper)Parinaz Mehdipour (1 shared paper)
- Journals
- Blood (4 papers)Leukemia (3 papers)Haematologica (2 papers)British Journal of Haematology (2 papers)The Lancet Haematology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Tracy Murphy
21 papers receiving 501 citations
Peers
Comparison fields: 5 of 69
- Hematology 252
- Cancer Research 92
- Genetics 66
- Molecular Biology 217
- Pathology and Forensic Medicine 44
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 143 | |
| 2 | 2017 | 135 | |
| 3 | 2019 | 37 | |
| 4 | 1996 | 34 | |
| 5 | 2017 | 31 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2009 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2020 | 1 |
About Tracy Murphy
Tracy Murphy is a scholar working on Hematology, Cancer Research, Genetics, Public Health, Environmental and Occupational Health and Cell Biology, having authored 22 papers that have together received 508 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Cancer Genomics and Diagnostics (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Microtubule and mitosis dynamics (3 papers), Retinoids in leukemia and cellular processes (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (252 citations), Cancer Research (92 citations), Genetics (66 citations), Molecular Biology (217 citations) and Pathology and Forensic Medicine (44 citations). Tracy Murphy has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Karen W L Yee, Aaron David Schimmer, Mark David Minden, Steven M. Chan, Emily M. Heath, Liran I. Shlush, Neal S. Goldstein, Parinaz Mehdipour, Daniel Diniz De Carvalho and Arjun Law. Their work appears in journals such as Blood, Leukemia, Haematologica, British Journal of Haematology and The Lancet Haematology.
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.