Haley Newman
Impact in
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- CAR-T cell therapy research
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- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
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- Acute Lymphoblastic Leukemia research 8
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- Childhood Cancer Survivors' Quality of Life 5
- Co-authors
- Yimei Li (5 shared papers)Amanda M. DiNofia (4 shared papers)Susan R. Rheingold (4 shared papers)Regina M. Myers (5 shared papers)Colleen Callahan (3 shared papers)Stephan A. Grupp (4 shared papers)Shannon L. Maude (4 shared papers)Lisa Wray (3 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (3 papers)JAMA Network Open (2 papers)Haematologica (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Haley Newman
18 papers receiving 267 citations
Peers
Comparison fields: 5 of 42
- Oncology 128
- Hematology 43
- Genetics 39
- Public Health, Environmental and Occupational Health 85
- Pediatrics, Perinatology and Child Health 29
Countries citing papers authored by Haley Newman
This map shows the geographic impact of Haley Newman'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 Haley Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haley Newman more than expected).
Fields of papers citing papers by Haley Newman
This network shows the impact of papers produced by Haley Newman. 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 Haley Newman. The network helps show where Haley Newman may publish in the future.
Co-authors
The 25 scholars most cited alongside Haley Newman, 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 | 2021 | 80 | |
| 2 | 2021 | 66 | |
| 3 | 2015 | 36 | |
| 4 | 2020 | 18 | |
| 5 | 2019 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Haley Newman
Haley Newman is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology, Speech and Hearing and Epidemiology, having authored 22 papers that have together received 268 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers), CAR-T cell therapy research (5 papers), Adolescent and Pediatric Healthcare (2 papers), Cervical Cancer and HPV Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Medical Imaging and Pathology Studies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (128 citations), Hematology (43 citations), Genetics (39 citations), Public Health, Environmental and Occupational Health (85 citations) and Pediatrics, Perinatology and Child Health (29 citations). Haley Newman has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yimei Li, Amanda M. DiNofia, Susan R. Rheingold, Regina M. Myers, Colleen Callahan, Stephan A. Grupp, Shannon L. Maude, Lisa Wray, Allison Barz Leahy and Diane Baniewicz. Their work appears in journals such as Blood, Journal of Clinical Oncology, JAMA Network Open, Haematologica and British Journal of 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.