Silas J. Leavesley

1.3k total citations
85 papers, 926 citations indexed

About

Silas J. Leavesley is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Silas J. Leavesley has authored 85 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Biomedical Engineering. Recurrent topics in Silas J. Leavesley's work include Optical Imaging and Spectroscopy Techniques (30 papers), Photoacoustic and Ultrasonic Imaging (27 papers) and Advanced Fluorescence Microscopy Techniques (19 papers). Silas J. Leavesley is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (30 papers), Photoacoustic and Ultrasonic Imaging (27 papers) and Advanced Fluorescence Microscopy Techniques (19 papers). Silas J. Leavesley collaborates with scholars based in United States, Netherlands and China. Silas J. Leavesley's co-authors include Thomas C. Rich, Peter F. Favreau, Diego F. Alvarez, Prashant Prabhat, Carole Boudreaux, J. Paul Robinson, Viacheslav O. Nikolaev, Wei P. Feinstein, Bing Zhu and Sarah Sayner and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Silas J. Leavesley

78 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silas J. Leavesley United States 17 325 318 293 285 102 85 926
George Filippidis Greece 23 156 0.5× 528 1.7× 383 1.3× 96 0.3× 49 0.5× 83 1.3k
Gordon T. Kennedy United States 20 198 0.6× 454 1.4× 312 1.1× 204 0.7× 23 0.2× 59 1.2k
Lu Lan United States 17 133 0.4× 626 2.0× 282 1.0× 148 0.5× 77 0.8× 32 1.1k
Julien Pichette Canada 11 119 0.4× 329 1.0× 361 1.2× 265 0.9× 187 1.8× 20 729
Christopher J. Rowlands United Kingdom 16 252 0.8× 417 1.3× 444 1.5× 79 0.3× 185 1.8× 39 935
Olaf Minet Germany 14 94 0.3× 424 1.3× 200 0.7× 311 1.1× 49 0.5× 65 745
Ana‐Maria Pena France 17 323 1.0× 552 1.7× 852 2.9× 157 0.6× 52 0.5× 32 1.5k
Michael D. Schaeberle United States 11 124 0.4× 223 0.7× 317 1.1× 178 0.6× 218 2.1× 17 711
Luca Lanzanò Italy 25 549 1.7× 383 1.2× 771 2.6× 96 0.3× 21 0.2× 92 1.6k

Countries citing papers authored by Silas J. Leavesley

Since Specialization
Citations

This map shows the geographic impact of Silas J. Leavesley'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 Silas J. Leavesley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silas J. Leavesley more than expected).

Fields of papers citing papers by Silas J. Leavesley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silas J. Leavesley. 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 Silas J. Leavesley. The network helps show where Silas J. Leavesley may publish in the future.

Co-authorship network of co-authors of Silas J. Leavesley

This figure shows the co-authorship network connecting the top 25 collaborators of Silas J. Leavesley. A scholar is included among the top collaborators of Silas J. Leavesley 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 Silas J. Leavesley. Silas J. Leavesley 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.
Zha, Shenghua, et al.. (2025). A Case Study of Integrating AI Literacy Education in a Biology Class. International Journal of Artificial Intelligence in Education. 35(4). 2453–2477.
2.
Leavesley, Silas J., et al.. (2023). A two-dimensional finite element model of intercellular cAMP signaling through gap junction channels. Journal of Biomechanics. 152. 111588–111588.
3.
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5.
Leavesley, Silas J., et al.. (2022). Automated Image Analysis of FRET Signals for Subcellular cAMP Quantification. Methods in molecular biology. 2483. 167–180. 1 indexed citations
6.
Housley, Nicole A., et al.. (2020). cAMP signaling primes lung endothelial cells to activate caspase-1 during Pseudomonas aeruginosa infection. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(5). L1074–L1083. 7 indexed citations
7.
Alexeyev, Mikhail, Aron M. Geurts, C. Michael Francis, et al.. (2020). Development of an endothelial cell-restricted transgenic reporter rat: a resource for physiological studies of vascular biology. American Journal of Physiology-Heart and Circulatory Physiology. 319(2). H349–H358. 4 indexed citations
8.
9.
Favreau, Peter F., et al.. (2019). Label‐free spectroscopic tissue characterization using fluorescence excitation‐scanning spectral imaging. Journal of Biophotonics. 13(2). e201900183–e201900183. 10 indexed citations
10.
Rich, Thomas C., et al.. (2019). Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals. Journal of Visualized Experiments. 7 indexed citations
11.
Rich, Thomas C., et al.. (2019). Optimizing channel selection for excitation-scanning hyperspectral imaging. PubMed. 84. 46–46. 1 indexed citations
12.
Rich, Thomas C., et al.. (2019). A spherical mirror-based illumination system for fluorescence excitation-scanning hyperspectral imaging. PubMed. s3-102. 22–22. 1 indexed citations
13.
Stone, Nicholas P., et al.. (2019). A two-dimensional finite element model of cyclic adenosine monophosphate (cAMP) intracellular signaling. SN Applied Sciences. 1(12). 5 indexed citations
14.
Boudreaux, Carole, et al.. (2018). Identifying molecular contributors to autofluorescence of neoplastic and normal colon sections using excitation-scanning hyperspectral imaging. Journal of Biomedical Optics. 24(2). 1–1. 31 indexed citations
15.
Griswold, John, et al.. (2018). Spectral imaging of FRET‐based sensors reveals sustained cAMP gradients in three spatial dimensions. Cytometry Part A. 93(10). 1029–1038. 24 indexed citations
16.
Xu, Yuanyuan, Yuqing Jiang, Mindi He, et al.. (2018). Human ASIC1a mediates stronger acid‐induced responses as compared with mouse ASICIa. The FASEB Journal. 32(7). 3832–3843. 20 indexed citations
17.
Leavesley, Silas J., Carmen López, Thomas Baker, et al.. (2016). Hyperspectral imaging fluorescence excitation scanning for detecting colorectal cancer: pilot study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9703. 970315–970315. 8 indexed citations
18.
Leavesley, Silas J., et al.. (2015). Modification of Fibers with Nanostructures Using Reactive Dye Chemistry. Industrial & Engineering Chemistry Research. 54(15). 3821–3827. 31 indexed citations
19.
Leavesley, Silas J. & Thomas C. Rich. (2014). FRET: Signals hidden within the noise. Cytometry Part A. 85(11). 918–920. 2 indexed citations
20.
Favreau, Peter F., et al.. (2013). Thin-film tunable filters for hyperspectral fluorescence microscopy. Journal of Biomedical Optics. 19(1). 11017–11017. 50 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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