Rebecca Epperly
Impact in
-
- CAR-T cell therapy research
-
- Acute Myeloid Leukemia Research
Papers in
- Oncology 16
- CAR-T cell therapy research 15
-
- Acute Lymphoblastic Leukemia research 9
- Co-authors
- Stephen Gottschalk (17 shared papers)Mireya Paulina Velasquez (8 shared papers)Nikhil Hebbar (3 shared papers)Sagar L. Patil (1 shared paper)Cheng Cheng (5 shared papers)Aimee C. Talleur (15 shared papers)Jeffery M. Klco (1 shared paper)Masayuki Umeda (1 shared paper)
- Journals
- Blood (5 papers)Transplantation and Cellular Therapy (5 papers)Pediatric Blood & Cancer (5 papers)Blood Advances (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- United States
In The Last Decade
Rebecca Epperly
26 papers receiving 239 citations
Peers
Comparison fields: 5 of 42
- Oncology 171
- Hematology 40
- Immunology 72
- Genetics 59
- Molecular Biology 83
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2022 | 66 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2021 | 2 |
About Rebecca Epperly
Rebecca Epperly is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Pediatrics, Perinatology and Child Health and Genetics, having authored 30 papers that have together received 241 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Acute Lymphoblastic Leukemia research (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Virus-based gene therapy research (6 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Immune Cell Function and Interaction (4 papers), Nanowire Synthesis and Applications (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Oncology (171 citations), Hematology (40 citations), Immunology (72 citations), Genetics (59 citations) and Molecular Biology (83 citations). Rebecca Epperly has collaborated with scholars based in United States. Frequent co-authors include Stephen Gottschalk, Mireya Paulina Velasquez, Nikhil Hebbar, Sagar L. Patil, Cheng Cheng, Aimee C. Talleur, Jeffery M. Klco, Masayuki Umeda, Sujuan Huang and Deanna Langfitt. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Pediatric Blood & Cancer, Blood Advances and Frontiers in Oncology.
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.