Jonathan Tran

1.4k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Jonathan Tran is a scholar working on Molecular Biology, Surgery and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jonathan Tran has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jonathan Tran's work include Infrared Target Detection Methodologies (1 paper), Entomological Studies and Ecology (1 paper) and Tuberculosis Research and Epidemiology (1 paper). Jonathan Tran is often cited by papers focused on Infrared Target Detection Methodologies (1 paper), Entomological Studies and Ecology (1 paper) and Tuberculosis Research and Epidemiology (1 paper). Jonathan Tran collaborates with scholars based in United States, Canada and United Kingdom. Jonathan Tran's co-authors include Liming Pei, Aldons J. Lusis, Michael A. Watson, Bryan Laffitte, Xuping Wang, Elaine McKilligin, Grace Noh, Ronald E. Law, Alan R. Collins and Willa A. Hsueh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Ecology & Evolution and Ecological Applications.

In The Last Decade

Jonathan Tran

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Synthetic LXR ligand inhibits the development of atherosclerosis in mice

2002 778 citations Sean B. Joseph, Elaine McKilligin et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Tran United States	8	645	487	310	168	149	14	1.1k
Jeffrey Chu Canada	14	271 0.4×	560 1.1×	143 0.5×	123 0.7×	41 0.3×	32	1.1k
Kyra J. Cowan Germany	17	119 0.2×	663 1.4×	219 0.7×	82 0.5×	351 2.4×	52	1.4k
Fang Yu China	15	223 0.3×	407 0.8×	95 0.3×	305 1.8×	697 4.7×	25	1.4k
Haynes Heaton United States	9	254 0.4×	563 1.2×	68 0.2×	189 1.1×	128 0.9×	10	1.2k
Jinpeng Liu United States	21	104 0.2×	917 1.9×	210 0.7×	346 2.1×	114 0.8×	77	1.6k
Yoko Nakajima Japan	23	114 0.2×	689 1.4×	116 0.4×	44 0.3×	112 0.8×	132	1.7k
P. Alexander Rolfe United States	7	456 0.7×	1.5k 3.1×	220 0.7×	165 1.0×	100 0.7×	11	2.1k
Ann Hedley United Kingdom	18	96 0.1×	1.2k 2.5×	237 0.8×	487 2.9×	78 0.5×	28	1.7k
Mary K. Bennett United States	15	460 0.7×	840 1.7×	187 0.6×	152 0.9×	47 0.3×	18	1.2k
Mitsuru Shimamura Japan	13	313 0.5×	502 1.0×	62 0.2×	507 3.0×	69 0.5×	14	1.9k

Countries citing papers authored by Jonathan Tran

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Tran. A scholar is included among the top collaborators of Jonathan Tran 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 Jonathan Tran. Jonathan Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Osoba, Osonde, et al.. (2024). Artificial Intelligence and Machine Learning Applications for Defensive Counterspace: A Decision Support Tool Capability Demonstration. RAND Corporation eBooks. 1 indexed citations

Tran, Jonathan, et al.. (2022). The Workplace and Psychosocial Experiences of Australian Senior Doctors during the COVID-19 Pandemic: A Qualitative Study. International Journal of Environmental Research and Public Health. 19(5). 3079–3079. 7 indexed citations

Tran, Jonathan, et al.. (2019). Review of Imaging Findings in Urinary Tract Infections. Seminars in Ultrasound CT and MRI. 41(1). 99–105. 4 indexed citations

Tran, Jonathan, et al.. (2019). Infections of the Male and Female Reproductive System: Spectrum of Imaging Findings. Seminars in Ultrasound CT and MRI. 41(1). 2–9. 1 indexed citations

Tran, Jonathan, et al.. (2018). A multi‐ingredient athletic supplement disproportionately enhances hind leg musculature, jumping performance, and spontaneous locomotion in crickets (Acheta domesticus). Entomologia Experimentalis et Applicata. 166(1). 63–73. 2 indexed citations

Tran, Jonathan, et al.. (2018). Hormetic Effects of Early Juvenile Radiation Exposure on Adult Reproduction and Offspring Performance in the Cricket (Acheta domesticus). Dose-Response. 16(3). 3582246331–3582246331. 12 indexed citations

Tran, Jonathan, et al.. (2017). Open set recognition of aircraft in aerial imagery using synthetic template models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10202. 1020206–1020206. 7 indexed citations

Matzen, Laura E., et al.. (2016). Using Eye Tracking Metrics and Visual Saliency Maps to Assess Image Utility. Electronic Imaging. 28(16). 1–8. 7 indexed citations

Allesina, Stefano, Priyanga Amarasekare, Roger Arditi, et al.. (2015). Selection on stability across ecological scales. Trends in Ecology & Evolution. 30(7). 417–425. 74 indexed citations

10.

Hecht, David, Jonathan Tran, & Gary B. Fogel. (2011). Structural-based analysis of dihydrofolate reductase evolution. Molecular Phylogenetics and Evolution. 61(1). 212–230. 12 indexed citations

11.

Allen, M. Leah, et al.. (2010). Deletion of the eIFiso4G subunit of the Arabidopsis eIFiso4F translation initiation complex impairs health and viability. Plant Molecular Biology. 74(3). 249–263. 66 indexed citations

12.

Fogel, Gary B., Jonathan Tran, Stephen R. Johnson, & David Hecht. (2010). Machine learning approaches for customized docking scores: Modeling of inhibition of Mycobacterium tuberculosis enoyl acyl carrier protein reductase. 1–6. 5 indexed citations

13.

Tran, Jonathan, Tiina Ylioja, Ronald F. Billings, Jacques Régnière, & Matthew P. Ayres. (2007). IMPACT OF MINIMUM WINTER TEMPERATURES ON THE POPULATION DYNAMICS OFDENDROCTONUS FRONTALIS. Ecological Applications. 17(3). 882–899. 113 indexed citations

14.

Joseph, Sean B., Elaine McKilligin, Liming Pei, et al.. (2002). Synthetic LXR ligand inhibits the development of atherosclerosis in mice. Proceedings of the National Academy of Sciences. 99(11). 7604–7609. 778 indexed citations breakdown →

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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