Jackson Burton
Impact in
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 2
- Genetics 5
- Diabetes and associated disorders 3
- Co-authors
- Daniela J. Conrado (7 shared papers)Jagdeep T. Podichetty (7 shared papers)Klaus Romero (13 shared papers)Dean Bottino (3 shared papers)Sarah Kim (6 shared papers)Timothy W. Secomb (1 shared paper)Stephan Schmidt (4 shared papers)Derek A. T. Cummings (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (5 papers)CPT Pharmacometrics & Systems Pharmacology (4 papers)Clinical and Translational Science (4 papers)Cancer Research (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jackson Burton
22 papers receiving 242 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 7
- Modeling and Simulation 15
- Computational Theory and Mathematics 45
- Statistics and Probability 21
- Biophysics 10
Countries citing papers authored by Jackson Burton
This map shows the geographic impact of Jackson Burton'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 Jackson Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackson Burton more than expected).
Fields of papers citing papers by Jackson Burton
This network shows the impact of papers produced by Jackson Burton. 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 Jackson Burton. The network helps show where Jackson Burton may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackson Burton, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2019 | 27 | |
| 3 | 2021 | 20 | |
| 4 | 2012 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2025 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 2 |
About Jackson Burton
Jackson Burton is a scholar working on Molecular Biology, Genetics, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 24 papers that have together received 247 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Computational Drug Discovery Methods (3 papers), Diabetes Management and Research (3 papers), Dementia and Cognitive Impairment Research (3 papers), Diabetes and associated disorders (3 papers), Statistical Methods in Clinical Trials (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (7 citations), Modeling and Simulation (15 citations), Computational Theory and Mathematics (45 citations), Statistics and Probability (21 citations) and Biophysics (10 citations). Jackson Burton has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Daniela J. Conrado, Jagdeep T. Podichetty, Klaus Romero, Dean Bottino, Sarah Kim, Timothy W. Secomb, Stephan Schmidt, Derek A. T. Cummings, Ira B. Schwartz and Lora Billings. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Clinical and Translational Science, Cancer Research and Alzheimer s & Dementia.
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.