Jacqueline E. Payton
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
- Hematology 20
- Acute Myeloid Leukemia Research 16
- Multiple Myeloma Research and Treatments 5
- Immunology 16
- Immune Cell Function and Interaction 14
- Co-authors
- Timothy J. LeyRichard J. PerrinJulia M. GeorgeMark A. WatsonSarah PyfromEugene M. OltzDaniel C. LinkWendy S. Woods
- Journals
- Blood (13 papers)The Journal of Immunology (4 papers)Cell Reports (3 papers)Journal of Clinical Investigation (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jacqueline E. Payton
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Hematology 406
- Cancer Research 297
- Immunology 406
- Neurology 249
- Molecular Biology 970
Countries citing papers authored by Jacqueline E. Payton
This map shows the geographic impact of Jacqueline E. Payton'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 Jacqueline E. Payton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline E. Payton more than expected).
Fields of papers citing papers by Jacqueline E. Payton
This network shows the impact of papers produced by Jacqueline E. Payton. 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 Jacqueline E. Payton. The network helps show where Jacqueline E. Payton may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacqueline E. Payton, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 3 | |
| 12 | 2016 | 37 | |
| 13 | 2016 | 122 | |
| 14 | 2014 | 53 | |
| 15 | 2013 | 34 | |
| 16 | 2011 | 85 | |
| 17 | 2010 | 53 | |
| 18 | 2010 | 15 | |
| 19 | 2009 | 70 | |
| 20 | 2009 | 111 |
About Jacqueline E. Payton
Jacqueline E. Payton is a scholar working on Hematology, Immunology, Genetics, Cancer Research and Molecular Biology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Immune Cell Function and Interaction (14 papers), RNA modifications and cancer (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer-related gene regulation (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Hematology (406 citations), Cancer Research (297 citations), Immunology (406 citations), Neurology (249 citations) and Molecular Biology (970 citations). Jacqueline E. Payton has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Timothy J. Ley, Richard J. Perrin, Julia M. George, Mark A. Watson, Sarah Pyfrom, Eugene M. Oltz, Daniel C. Link, Wendy S. Woods, Rakesh Nagarajan and Li‐Wei Chang. Their work appears in journals such as Blood, The Journal of Immunology, Cell Reports, Journal of Clinical Investigation and Clinical Cancer Research.
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.