Jennifer K. Barton

7.1k total citations · 1 hit paper
225 papers, 5.3k citations indexed

About

Jennifer K. Barton is a scholar working on Biomedical Engineering, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jennifer K. Barton has authored 225 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Biomedical Engineering, 49 papers in Biophysics and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jennifer K. Barton's work include Optical Coherence Tomography Applications (135 papers), Photoacoustic and Ultrasonic Imaging (72 papers) and Advanced Fluorescence Microscopy Techniques (43 papers). Jennifer K. Barton is often cited by papers focused on Optical Coherence Tomography Applications (135 papers), Photoacoustic and Ultrasonic Imaging (72 papers) and Advanced Fluorescence Microscopy Techniques (43 papers). Jennifer K. Barton collaborates with scholars based in United States, United Kingdom and Austria. Jennifer K. Barton's co-authors include Ashley J. Welch, Joseph A. Izatt, Rebekah A. Drezek, John Black, Siavash Yazdanfar, Alex W. H. Lin, Jennifer L. West, Naomi J. Halas, Manish D. Kulkarni and L. R. Hirsch and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jennifer K. Barton

213 papers receiving 5.1k citations

Hit Papers

Nanoshell-Enabled Photoni... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer K. Barton United States 37 3.4k 1.2k 1.1k 640 603 225 5.3k
Elina A. Genina Russia 35 3.3k 1.0× 2.1k 1.8× 1.2k 1.1× 223 0.3× 195 0.3× 197 5.3k
Alexey N. Bashkatov Russia 34 3.2k 0.9× 2.2k 1.8× 1.1k 1.1× 205 0.3× 197 0.3× 175 5.1k
Karsten König Germany 55 4.8k 1.4× 1.3k 1.1× 4.7k 4.4× 248 0.4× 508 0.8× 294 10.3k
Roberto Pini Italy 34 1.4k 0.4× 738 0.6× 278 0.3× 736 1.1× 218 0.4× 240 3.4k
James W. Tunnell United States 33 2.6k 0.8× 926 0.8× 598 0.6× 698 1.1× 137 0.2× 121 4.1k
Gereon Hüttmann Germany 34 2.2k 0.7× 1.0k 0.8× 802 0.8× 223 0.3× 201 0.3× 197 3.7k
Iris Riemann Germany 29 1.5k 0.4× 418 0.3× 1.4k 1.3× 85 0.1× 471 0.8× 95 3.3k
Marie‐Claire Schanne‐Klein France 35 1.4k 0.4× 509 0.4× 1.6k 1.5× 256 0.4× 201 0.3× 110 4.3k
Xueding Wang United States 45 7.0k 2.0× 3.4k 2.8× 422 0.4× 443 0.7× 118 0.2× 278 8.2k
I. Alex Vitkin Canada 46 5.3k 1.5× 2.3k 1.9× 1.4k 1.3× 87 0.1× 572 0.9× 253 6.9k

Countries citing papers authored by Jennifer K. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Barton. 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 Jennifer K. Barton. The network helps show where Jennifer K. Barton may publish in the future.

Co-authorship network of co-authors of Jennifer K. Barton

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Barton. A scholar is included among the top collaborators of Jennifer K. Barton 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 Jennifer K. Barton. Jennifer K. Barton 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.
Hu, Shuting, et al.. (2025). mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect. IEEE Transactions on Biomedical Engineering. 72(9). 2623–2634. 1 indexed citations
3.
Long, Dilara J., et al.. (2025). First Clinical Feasibility and Safety Study of a Novel Multimodality Fallopian Tube Imaging Endoscope. Lasers in Surgery and Medicine. 57(2). 163–170.
4.
He, Fei, et al.. (2025). Scalable fabrication of single- and multi-layer planar lenses on fiber imaging probes. APL Photonics. 10(5). 1 indexed citations
5.
Hu, Shuting, et al.. (2024). Radar-Based Fall Detection: A Survey [Survey]. IEEE Robotics & Automation Magazine. 31(3). 170–185. 8 indexed citations
6.
Hu, Shuting, et al.. (2024). mmPose-FK: A Forward Kinematics Approach to Dynamic Skeletal Pose Estimation Using mmWave Radars. IEEE Sensors Journal. 24(5). 6469–6481. 17 indexed citations
7.
Long, Dilara J., et al.. (2023). Iterative prototyping based on lessons learned from the falloposcope in vivo pilot study experience. Journal of Biomedical Optics. 28(12). 121206–121206. 4 indexed citations
8.
Sawyer, Travis W., et al.. (2018). Three-dimensional texture analysis of optical coherence tomography images of ovarian tissue. Physics in Medicine and Biology. 63(23). 235020–235020. 21 indexed citations
9.
Chen, Hao, Chiu‐Hsieh Hsu, Edward R. Abril, et al.. (2017). Does Mutated K-RAS Oncogene Attenuate the Effect of Sulindac in Colon Cancer Chemoprevention?. Cancer Prevention Research. 11(1). 16–26. 4 indexed citations
10.
Chandra, Swati, et al.. (2017). Intermittent Dosing with Sulindac Provides Effective Colorectal Cancer Chemoprevention in the Azoxymethane-Treated Mouse Model. Cancer Prevention Research. 10(8). 459–466. 9 indexed citations
12.
Leung, Sarah J., et al.. (2014). Dual optical modality endoscopic imaging of cancer development in the mouse colon. Lasers in Surgery and Medicine. 47(1). 30–39. 8 indexed citations
13.
Watson, Jennifer M., Samuel L. Marion, David L. Bentley, et al.. (2013). In vivo time-serial multi-modality optical imaging in a mouse model of ovarian tumorigenesis. Cancer Biology & Therapy. 15(1). 42–60. 17 indexed citations
14.
Castro, José M., et al.. (2011). Analysis of diffracted image patterns from volume holographic imaging systems and applications to image processing. Applied Optics. 50(2). 170–170. 6 indexed citations
15.
Bonnema, Garret T., et al.. (2007). Assessment of blood vessel mimics with optical coherence tomography. Journal of Biomedical Optics. 12(2). 24018–24018. 20 indexed citations
16.
Gossage, Kirk W., Cynthia M. Smith, Elizabeth M. Kanter, et al.. (2006). Texture analysis of speckle in optical coherence tomography images of tissue phantoms. Physics in Medicine and Biology. 51(6). 1563–1575. 54 indexed citations
17.
Troutman, Timothy S., Kvar C. L. Black, Jennifer K. Barton, & Marek Romanowski. (2005). Novel OCT Contrast Agent Based on Suspensions of Plasmon Resonant Nanoparticles. Frontiers in Optics. FWK2–FWK2. 1 indexed citations
18.
Baldwin, Ann L., et al.. (2004). Onset of pulsatile pressure causes transiently increased filtration through artery wall. American Journal of Physiology-Heart and Circulatory Physiology. 286(5). H1827–H1835. 8 indexed citations
19.
Barton, Jennifer K., Joseph A. Izatt, Manish D. Kulkarni, Siavash Yazdanfar, & Ashley J. Welch. (1999). Three-Dimensional Reconstruction of Blood Vessels from in vivo Color Doppler Optical Coherence Tomography Images. Dermatology. 198(4). 355–361. 51 indexed citations
20.
Pfefer, T. Joshua, Jennifer K. Barton, Derek J. Smithies, et al.. (1999). Modeling laser treatment of port wine stains with a computer-reconstructed biopsy. Lasers in Surgery and Medicine. 24(2). 151–166. 44 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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