Amy Ayers
Impact in
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- Cutaneous lymphoproliferative disorders research
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- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 15
- Oncology 10
- CAR-T cell therapy research 6
- Co-authors
- Christopher R. Flowers (15 shared papers)Andrew J. Ritter (1 shared paper)Jordan Goldstein (1 shared paper)Mary Jo Lechowicz (4 shared papers)Pamela B. Allen (5 shared papers)Lei Feng (2 shared papers)Jackelyn B. Payne (1 shared paper)Lillian Chen (1 shared paper)
- Journals
- Blood (6 papers)Blood Advances (3 papers)Hematological Oncology (2 papers)JAMA Dermatology (1 paper)Journal of Biomolecular Techniques JBT (1 paper)
- Partner nations
- United StatesGreeceGeorgia
In The Last Decade
Amy Ayers
24 papers receiving 118 citations
Peers
Comparison fields: 5 of 39
- Dermatology 25
- Pathology and Forensic Medicine 46
- Oncology 55
- Genetics 7
- Public Health, Environmental and Occupational Health 17
Countries citing papers authored by Amy Ayers
This map shows the geographic impact of Amy 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 Amy Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Ayers more than expected).
Fields of papers citing papers by Amy Ayers
This network shows the impact of papers produced by Amy 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 Amy Ayers. The network helps show where Amy Ayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 25 | |
| 2 | 2019 | 17 | |
| 3 | 2019 | 13 | |
| 4 | 2024 | 10 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 3 | |
| 11 | Personalized Medicine – Future Impact, Pharma Industry Perspective | 2010 | 3 |
| 12 | 2019 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2023 | 1 |
About Amy Ayers
Amy Ayers is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Dermatology and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 121 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cutaneous lymphoproliferative disorders research (6 papers), CAR-T cell therapy research (6 papers), Acute Lymphoblastic Leukemia research (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Economic and Financial Impacts of Cancer (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Dermatology (25 citations), Pathology and Forensic Medicine (46 citations), Oncology (55 citations), Genetics (7 citations) and Public Health, Environmental and Occupational Health (17 citations). Amy Ayers has collaborated with scholars based in United States, Greece and Georgia. Frequent co-authors include Christopher R. Flowers, Andrew J. Ritter, Jordan Goldstein, Mary Jo Lechowicz, Pamela B. Allen, Lei Feng, Jackelyn B. Payne, Lillian Chen, Grace Watson and Jeffrey M. Switchenko. Their work appears in journals such as Blood, Blood Advances, Hematological Oncology, JAMA Dermatology and Journal of Biomolecular Techniques JBT.
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.