Rachel Gray
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Genetics 5
- Glioma Diagnosis and Treatment 4
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- Neuroblastoma Research and Treatments 3
- Brain Tumor Detection and Classification 1
- Co-authors
- Ravi Bhatia (1 shared paper)David S. Snyder (1 shared paper)Melissa Holtz (1 shared paper)Marilyn L. Slovak (1 shared paper)Daniel A. Arber (1 shared paper)Charles L. Sawyers (1 shared paper)Ning Niu (1 shared paper)Stephen J. Forman (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)Blood (1 paper)Applied and Environmental Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Australian Journal of General Practice (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Rachel Gray
8 papers receiving 430 citations
Peers
Comparison fields: 5 of 55
- Hematology 326
- Genetics 202
- Rheumatology 135
- Oncology 82
- Molecular Biology 99
Countries citing papers authored by Rachel Gray
This map shows the geographic impact of Rachel Gray'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 Rachel Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Gray more than expected).
Fields of papers citing papers by Rachel Gray
This network shows the impact of papers produced by Rachel Gray. 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 Rachel Gray. The network helps show where Rachel Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel Gray, 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 | 2003 | 405 | |
| 2 | 2009 | 22 | |
| 3 | 2018 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2018 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2016 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Rachel Gray
Rachel Gray is a scholar working on Genetics, Neurology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Oncology, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Neuroblastoma Research and Treatments (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Direction-of-Arrival Estimation Techniques (2 papers), Radar Systems and Signal Processing (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Brain Tumor Detection and Classification (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Hematology (326 citations), Genetics (202 citations), Rheumatology (135 citations), Oncology (82 citations) and Molecular Biology (99 citations). Rachel Gray has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Ravi Bhatia, David S. Snyder, Melissa Holtz, Marilyn L. Slovak, Daniel A. Arber, Charles L. Sawyers, Ning Niu, Stephen J. Forman, Janette L. Jacobs and A. Cody Springman. Their work appears in journals such as Neuro-Oncology, Blood, Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and Australian Journal of General Practice.
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.