Tracy Murphy

1.8k citations
29 papers · 463 indexed · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Cancer Genomics and Diagnostics

Papers in

Tracy Murphy

26 papers receiving 462 citations

Peers

Tracy Murphy
Comparison fields: 5 of 60
  • Hematology 265
  • Cancer Research 97
  • Genetics 68
  • Molecular Biology 248
  • Internal Medicine 13
Replace Adam Bryant with:
Adam Bryant Australia
Soraya Wuillème France
Hyewon Lee South Korea
José González Spain
Isabelle Luquet France
Victor Ng United States
Michelle E. Maglio United States
Giovanni Marconi Italy
Enrica Borsi Italy
Tracy Murphy relative to Adam Bryant Australia Adam Bryant's profile →
Citations per field
00.5×2.8×
Adam Bryant · 1×
Citations per year

Countries citing papers authored by Tracy Murphy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tracy Murphy Line = papers co-authored together Tracy Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017125
2 2017122
3 201933
4 199629
5 201729
6 202028
7 202014
8 202113
9 202311
10 202310
11 20199
12 20208
13 20096
14 20185
15 20194
16 20203
17 20203
18 20202
19 20212
20 20191

About Tracy Murphy

Tracy Murphy is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Cancer Research, having authored 29 papers that have together received 463 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Acute Lymphoblastic Leukemia research (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (5 papers), Multiple Myeloma Research and Treatments (5 papers), Microtubule and mitosis dynamics (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (265 citations), Cancer Research (97 citations), Genetics (68 citations), Molecular Biology (248 citations) and Internal Medicine (13 citations). Tracy Murphy has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Karen Yee, Aaron D. Schimmer, Mark D. Minden, Steven M. Chan, Emily Heath, Liran I. Shlush, Neal S. Goldstein, Parinaz Mehdipour, Daniel D. De Carvalho and Hassan Sibai. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia, Blood Advances and Science 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.

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