Jonathan Tran
Impact in
- Surgery top 5%
- Cholesterol and Lipid Metabolism
- Lipoproteins and Cardiovascular Health
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- Atherosclerosis and Cardiovascular Diseases
Papers in
- Ecology 2
- Forest Insect Ecology and Management 1
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- Visual Attention and Saliency Detection 1
- Co-authors
- Sean B. Joseph (1 shared paper)Willa A. Hsueh (1 shared paper)Jon L. Collins (1 shared paper)Timothy K. Tippin (1 shared paper)Aldons Jake Lusis (1 shared paper)Grace J. Noh (1 shared paper)Joanne Goodman (1 shared paper)Peter Tontonoz (1 shared paper)
- Journals
- Seminars in Ultrasound CT and MRI (2 papers)Trends in Ecology & Evolution (1 paper)G3 Genes Genomes Genetics (1 paper)Entomologia Experimentalis et Applicata (1 paper)Dose-Response (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Jonathan Tran
15 papers receiving 1.1k citations
Jonathan Tran's Hit Papers
Peers
Comparison fields: 5 of 90
- Surgery 543
- Immunology 146
- Ecology 112
- Ecological Modeling 12
- Nature and Landscape Conservation 41
Countries citing papers authored by Jonathan Tran
This map shows the geographic impact of Jonathan Tran'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 Jonathan Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tran more than expected).
Fields of papers citing papers by Jonathan Tran
This network shows the impact of papers produced by Jonathan Tran. 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 Jonathan Tran. The network helps show where Jonathan Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Tran, 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 | Synthetic LXR ligand inhibits the development of atherosclerosis in mice Hit paper breakdown → | 2002 | 821 |
| 2 | 2007 | 128 | |
| 3 | 2015 | 81 | |
| 4 | 2010 | 69 | |
| 5 | 2011 | 12 | |
| 6 | 2018 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2010 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Jonathan Tran
Jonathan Tran is a scholar working on Ecology, Computer Vision and Pattern Recognition, Microbiology, Aerospace Engineering and Nature and Landscape Conservation, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (1 paper), Visual Attention and Saliency Detection (1 paper), Forest Insect Ecology and Management (1 paper), Evolution and Genetic Dynamics (1 paper), Urinary Tract Infections Management (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Science Education and Pedagogy (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Surgery (543 citations), Immunology (146 citations), Ecology (112 citations), Ecological Modeling (12 citations) and Nature and Landscape Conservation (41 citations). Jonathan Tran has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sean B. Joseph, Willa A. Hsueh, Jon L. Collins, Timothy K. Tippin, Aldons Jake Lusis, Grace J. Noh, Joanne Goodman, Peter Tontonoz, Xuping Wang and Elaine McKilligin. Their work appears in journals such as Seminars in Ultrasound CT and MRI, Trends in Ecology & Evolution, G3 Genes Genomes Genetics, Entomologia Experimentalis et Applicata and Dose-Response.
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.