Jacqueline E. Payton
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
Papers in
-
- Cancer-related gene regulation 6
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- Protein Degradation and Inhibitors 5
- Hematology 18
- Acute Myeloid Leukemia Research 16
- Co-authors
- Timothy J. Ley (18 shared papers)Richard J. Perrin (5 shared papers)Julia M. George (3 shared papers)Sarah Pyfrom (7 shared papers)Mark A. Watson (6 shared papers)Eugene M. Oltz (11 shared papers)Daniel C. Link (10 shared papers)Wendy S. Woods (2 shared papers)
- Journals
- Blood (14 papers)The Journal of Immunology (4 papers)Journal of Clinical Investigation (3 papers)Cell Reports (3 papers)Cell (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jacqueline E. Payton
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Hematology 385
- Immunology 394
- Cancer Research 255
- Neurology 246
- Molecular Biology 871
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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 149 | |
| 2 | 2016 | 124 | |
| 3 | 2009 | 110 | |
| 4 | 2010 | 98 | |
| 5 | 2012 | 95 | |
| 6 | 2011 | 86 | |
| 7 | 2012 | 83 | |
| 8 | 2001 | 82 | |
| 9 | 2004 | 82 | |
| 10 | 2009 | 71 | |
| 11 | 2003 | 61 | |
| 12 | 2022 | 60 | |
| 13 | 2014 | 54 | |
| 14 | 2008 | 54 | |
| 15 | 2010 | 53 | |
| 16 | 2017 | 46 | |
| 17 | 2013 | 38 | |
| 18 | 2016 | 37 | |
| 19 | 2021 | 34 | |
| 20 | 2013 | 34 |
About Jacqueline E. Payton
Jacqueline E. Payton is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Epidemiology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Immune Cell Function and Interaction (13 papers), Cancer-related gene regulation (6 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Protein Degradation and Inhibitors (5 papers), T-cell and B-cell Immunology (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (385 citations), Immunology (394 citations), Cancer Research (255 citations), Neurology (246 citations) and Molecular Biology (871 citations). Jacqueline E. Payton has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Timothy J. Ley, Richard J. Perrin, Julia M. George, Sarah Pyfrom, Mark A. Watson, Eugene M. Oltz, Daniel C. Link, Wendy S. Woods, Rakesh Nagarajan and Olivia I. Koues. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Investigation, Cell Reports and Cell.
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.