Rebecca Epperly
Impact in
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- CAR-T cell therapy research
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- Acute Myeloid Leukemia Research
Papers in
- Oncology 17
- CAR-T cell therapy research 16
- Hematology 12
- Hematopoietic Stem Cell Transplantation 10
- Co-authors
- Stephen Gottschalk (19 shared papers)Mireya Paulina Velasquez (9 shared papers)Nirali N. Shah (3 shared papers)Aimee C. Talleur (16 shared papers)Cheng Cheng (5 shared papers)Abishek Vaidya (2 shared papers)Masayuki Umeda (1 shared paper)Nikhil Hebbar (3 shared papers)
- Journals
- Blood (5 papers)Pediatric Blood & Cancer (5 papers)Transplantation and Cellular Therapy (5 papers)Frontiers in Oncology (2 papers)Blood Advances (2 papers)
- Partner nations
- United States
In The Last Decade
Rebecca Epperly
27 papers receiving 263 citations
Peers
Comparison fields: 5 of 40
- Oncology 173
- Hematology 38
- Immunology 67
- Genetics 56
- Cell Biology 19
Countries citing papers authored by Rebecca Epperly
This map shows the geographic impact of Rebecca Epperly'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 Rebecca Epperly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Epperly more than expected).
Fields of papers citing papers by Rebecca Epperly
This network shows the impact of papers produced by Rebecca Epperly. 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 Rebecca Epperly. The network helps show where Rebecca Epperly may publish in the future.
Co-authors
The 25 scholars most cited alongside Rebecca Epperly, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2022 | 69 | |
| 3 | 2020 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Rebecca Epperly
Rebecca Epperly is a scholar working on Oncology, Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Genetics, having authored 32 papers that have together received 265 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Lymphoblastic Leukemia research (9 papers), Immune Cell Function and Interaction (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Virus-based gene therapy research (5 papers), Nanowire Synthesis and Applications (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Oncology (173 citations), Hematology (38 citations), Immunology (67 citations), Genetics (56 citations) and Cell Biology (19 citations). Rebecca Epperly has collaborated with scholars based in United States. Frequent co-authors include Stephen Gottschalk, Mireya Paulina Velasquez, Nirali N. Shah, Aimee C. Talleur, Cheng Cheng, Abishek Vaidya, Masayuki Umeda, Nikhil Hebbar, Deanna Langfitt and Sujuan Huang. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Transplantation and Cellular Therapy, Frontiers in Oncology 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.