Emily C. Ayers
Impact in
-
- Lymphoma Diagnosis and Treatment
-
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
Papers in
-
- Lymphoma Diagnosis and Treatment 14
- Genetics 10
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Steven M. Bair (1 shared paper)Joshua D. Brandstadter (1 shared paper)Edward A. Stadtmauer (1 shared paper)Anthony R. Mato (1 shared paper)Daniel J. Landsburg (5 shared papers)David M. Margolis (1 shared paper)Craig A. Portell (4 shared papers)David J. Margolis (1 shared paper)
- Journals
- Blood (4 papers)Hematological Oncology (2 papers)Cancers (1 paper)Journal of Clinical Oncology (1 paper)Blood Reviews (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Emily C. Ayers
15 papers receiving 68 citations
Peers
Comparison fields: 5 of 31
- Pathology and Forensic Medicine 33
- Genetics 17
- Oncology 35
- Hematology 12
- Immunology 13
Countries citing papers authored by Emily C. Ayers
This map shows the geographic impact of Emily C. Ayers'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 Emily C. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily C. Ayers more than expected).
Fields of papers citing papers by Emily C. Ayers
This network shows the impact of papers produced by Emily C. Ayers. 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 Emily C. Ayers. The network helps show where Emily C. Ayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily C. Ayers, 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 | 2020 | 23 | |
| 2 | 2016 | 9 | |
| 3 | 2020 | 8 | |
| 4 | 2019 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2016 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Emily C. Ayers
Emily C. Ayers is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 69 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (9 papers), CAR-T cell therapy research (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (33 citations), Genetics (17 citations), Oncology (35 citations), Hematology (12 citations) and Immunology (13 citations). Emily C. Ayers has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Steven M. Bair, Joshua D. Brandstadter, Edward A. Stadtmauer, Anthony R. Mato, Daniel J. Landsburg, David M. Margolis, Craig A. Portell, David J. Margolis, Phyllis A. Gimotty and Sunita D. Nasta. Their work appears in journals such as Blood, Hematological Oncology, Cancers, Journal of Clinical Oncology and Blood Reviews.
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.