Jackson Burton

534 total citations
24 papers, 247 citations indexed

About

Jackson Burton is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jackson Burton has authored 24 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Surgery. Recurrent topics in Jackson Burton's work include Computational Drug Discovery Methods (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Diabetes Management and Research (3 papers). Jackson Burton is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Diabetes Management and Research (3 papers). Jackson Burton collaborates with scholars based in United States, United Kingdom and Switzerland. Jackson Burton's co-authors include Daniela J. Conrado, Klaus Romero, Jagdeep T. Podichetty, Dean Bottino, Timothy W. Secomb, Sarah Kim, Stephan Schmidt, Lora Billings, Derek A. T. Cummings and Ira B. Schwartz and has published in prestigious journals such as Cancer Research, European Journal of Cancer and Clinical Pharmacology & Therapeutics.

In The Last Decade

Jackson Burton

22 papers receiving 242 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jackson Burton United States 10 71 45 30 27 26 24 247
Edward Abrahams United States 6 74 1.0× 17 0.4× 69 2.3× 33 1.2× 50 1.9× 12 319
Karim Azer United States 11 126 1.8× 57 1.3× 21 0.7× 16 0.6× 6 0.2× 33 353
Jim Bosley United States 8 157 2.2× 74 1.6× 16 0.5× 28 1.0× 19 0.7× 18 345
Joseph Sutton United States 5 72 1.0× 16 0.4× 27 0.9× 18 0.7× 35 1.3× 12 288
Lorenz Adlung Germany 8 243 3.4× 25 0.6× 47 1.6× 55 2.0× 16 0.6× 15 455
Anna O. Basile United States 9 121 1.7× 104 2.3× 67 2.2× 10 0.4× 19 0.7× 12 334
Arturo López Pineda United States 8 82 1.2× 15 0.3× 34 1.1× 23 0.9× 59 2.3× 16 366
Maria Koromina Greece 10 81 1.1× 52 1.2× 66 2.2× 17 0.6× 14 0.5× 24 262
Keith Flanagan United Kingdom 6 258 3.6× 41 0.9× 38 1.3× 14 0.5× 23 0.9× 15 371

Countries citing papers authored by Jackson Burton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jackson Burton

This figure shows the co-authorship network connecting the top 25 collaborators of Jackson Burton. A scholar is included among the top collaborators of Jackson Burton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jackson Burton. Jackson Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Burton, Jackson, Holly M. Brothers, R. Matthew Hutchison, et al.. (2025). Lower baseline amyloid beta burden is associated with greater percent of amyloid beta positron emission tomography reduction and better clinical outcomes in the aducanumab Phase 3 trials ENGAGE and EMERGE in early Alzheimer's disease. The Journal of Prevention of Alzheimer s Disease. 12(7). 100202–100202. 2 indexed citations
2.
Podichetty, Jagdeep T., et al.. (2025). A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications. Clinical and Translational Science. 18(3). e70172–e70172. 13 indexed citations
3.
Burton, Jackson, et al.. (2024). PO-01-022 BRUGADA SYNDROME INDUCED BY TYROSINE KINASE INHIBITORS. Heart Rhythm. 21(5). S221–S221.
4.
Podichetty, Jagdeep T., Jackson Burton, Stephan Schmidt, et al.. (2024). Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool. CPT Pharmacometrics & Systems Pharmacology. 13(8). 1309–1316. 5 indexed citations
5.
Burton, Jackson, Bilal Abuasal, Jamie N. Connarn, et al.. (2023). Future Opportunities in Drug Development: American Society for Clinical Pharmacology and Therapeutics Pharmacometrics and Pharmacokinetics Community Vision. Clinical Pharmacology & Therapeutics. 114(3). 507–510.
6.
Podichetty, Jagdeep T., Jackson Burton, Patrick Lang, et al.. (2023). Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies. CPT Pharmacometrics & Systems Pharmacology. 12(7). 1016–1028. 11 indexed citations
7.
Roussos, George, David Hill, Ariel V. Dowling, et al.. (2022). Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease. npj Digital Medicine. 5(1). 93–93. 15 indexed citations
8.
Larkindale, Jane, Vanessa Boulanger, Jackson Burton, et al.. (2022). Innovations in Therapy Development for Rare Diseases Through the Rare Disease Cures Accelerator-Data and Analytics Platform. Therapeutic Innovation & Regulatory Science. 56(5). 768–776. 7 indexed citations
9.
Podichetty, Jagdeep T., et al.. (2022). Leveraging Real‐World Data for EMA Qualification of a Model‐Based Biomarker Tool to Optimize Type‐1 Diabetes Prevention Studies. Clinical Pharmacology & Therapeutics. 111(5). 1133–1141. 5 indexed citations
10.
Aggarwal, Varun, Daniela J. Conrado, Diane Corey, et al.. (2021). Development of a model‐based clinical trial simulation platform to optimize the design of clinical trials for Duchenne muscular dystrophy. CPT Pharmacometrics & Systems Pharmacology. 11(3). 318–332. 20 indexed citations
11.
Kinnunen, Kirsi M., Ariana P. Mullin, Dorian Pustina, et al.. (2021). Recommendations to Optimize the Use of Volumetric MRI in Huntington's Disease Clinical Trials. Frontiers in Neurology. 12. 712565–712565. 4 indexed citations
12.
13.
Burton, Jackson, Sanchita Bhattacharya, Klaus Romero, & Daniela J. Conrado. (2020). Open Data for Clinical Pharmacology. Clinical Pharmacology & Therapeutics. 107(4). 703–706. 5 indexed citations
14.
Shahin, Mohamed H., Sanchita Bhattacharya, Diego S. Silva, et al.. (2020). Open Data Revolution in Clinical Research: Opportunities and Challenges. Clinical and Translational Science. 13(4). 665–674. 18 indexed citations
15.
Johnson, Kaitlyn E., Jackson Burton, Dougľas R. White, et al.. (2019). Directional inconsistency between Response Evaluation Criteria in Solid Tumors (RECIST) time to progression and response speed and depth. European Journal of Cancer. 109. 196–203. 7 indexed citations
16.
Burton, Jackson, Dean Bottino, & Timothy W. Secomb. (2019). A Systems Pharmacology Model for Drug Delivery to Solid Tumors by Antibody-Drug Conjugates: Implications for Bystander Effects. The AAPS Journal. 22(1). 12–12. 27 indexed citations
17.
Romero, Klaus, Daniela J. Conrado, Jackson Burton, et al.. (2019). Molecular Neuroimaging of the Dopamine Transporter as a Patient Enrichment Biomarker for Clinical Trials for Early Parkinson's Disease. Clinical and Translational Science. 12(3). 240–246. 12 indexed citations
18.
Burton, Jackson, et al.. (2015). Abstract 5337: An in silico platform for characterizing ADC bystander effects. Cancer Research. 75(15_Supplement). 5337–5337. 1 indexed citations
19.
Burton, Jackson, et al.. (2015). Abstract 1636: A model-based approach toward clinical pipeline optimization. Cancer Research. 75(15_Supplement). 1636–1636. 1 indexed citations
20.
Burton, Jackson, Lora Billings, Derek A. T. Cummings, & Ira B. Schwartz. (2012). Disease persistence in epidemiological models: The interplay between vaccination and migration. Mathematical Biosciences. 239(1). 91–96. 18 indexed citations

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.

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