Joseph P. Culver

675 total citations
19 papers, 497 citations indexed

About

Joseph P. Culver is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joseph P. Culver has authored 19 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joseph P. Culver's work include Optical Imaging and Spectroscopy Techniques (13 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Nanoplatforms for cancer theranostics (4 papers). Joseph P. Culver is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (13 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Nanoplatforms for cancer theranostics (4 papers). Joseph P. Culver collaborates with scholars based in United States, United Kingdom and Spain. Joseph P. Culver's co-authors include Arjun G. Yodh, Joel Greenberg, Cecil Cheung, Samuel Achilefu, Walter J. Akers, Ralph E. Nothdurft, М. Б. Березин, Turgut Durduran, Marcin Ptaszek and C. Muthiah and has published in prestigious journals such as Biophysical Journal, Optics Express and SLEEP.

In The Last Decade

Joseph P. Culver

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph P. Culver United States 10 322 305 78 75 63 19 497
Anna Gerega Poland 15 300 0.9× 329 1.1× 36 0.5× 37 0.5× 61 1.0× 38 538
A. N. Øksendal Norway 14 81 0.3× 570 1.9× 214 2.7× 59 0.8× 39 0.6× 48 827
Tamás Símor Hungary 13 130 0.4× 598 2.0× 56 0.7× 35 0.5× 132 2.1× 76 884
Florian Stuker Switzerland 9 165 0.5× 188 0.6× 22 0.3× 24 0.3× 20 0.3× 14 369
T. Ceckler United States 8 65 0.2× 278 0.9× 68 0.9× 60 0.8× 22 0.3× 9 444
Emmanuelle Canet France 18 133 0.4× 617 2.0× 184 2.4× 144 1.9× 58 0.9× 46 897
Masahide Kawamoto Japan 17 145 0.5× 729 2.4× 102 1.3× 33 0.4× 134 2.1× 54 1.2k
Markus Seeger Germany 14 498 1.5× 157 0.5× 45 0.6× 116 1.5× 84 1.3× 32 784
Dapeng Hao China 8 87 0.3× 196 0.6× 209 2.7× 25 0.3× 70 1.1× 14 510
Hiroko Kimura Japan 12 108 0.3× 76 0.2× 146 1.9× 23 0.3× 36 0.6× 24 507

Countries citing papers authored by Joseph P. Culver

Since Specialization
Citations

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

Fields of papers citing papers by Joseph P. Culver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Culver. 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 Joseph P. Culver. The network helps show where Joseph P. Culver may publish in the future.

Co-authorship network of co-authors of Joseph P. Culver

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

All Works

19 of 19 papers shown
1.
Landsness, Eric C., Michelle Tang, David S. Lee, et al.. (2025). Region-specific non-rapid eye movement delta activity is associated with stroke recovery. SLEEP. 48(6).
2.
Durduran, Turgut, et al.. (2020). Exploring the Feasibility of Fiber-Based Speckle Contrast Optical Spectroscopy. JW3A.37–JW3A.37. 1 indexed citations
3.
Ferradal, Silvina L., et al.. (2018). Lightweight sCMOS-based high-density diffuse optical tomography. Neurophotonics. 5(3). 1–1. 9 indexed citations
4.
Eggebrecht, Adam T., et al.. (2018). Improving Functional Diffuse Optical Tomography Reconstruction Quality Utilizing Frequency Domain Measurements. University of Birmingham Research Portal (University of Birmingham). OF2D.2–OF2D.2. 2 indexed citations
5.
Dragojević, Tanja, Davide Tamborini, Davide Portaluppi, et al.. (2017). Compact, multi-exposure speckle contrast optical spectroscopy (SCOS) device for measuring deep tissue blood flow. Biomedical Optics Express. 9(1). 322–322. 40 indexed citations
6.
Liu, Yang, Walter J. Akers, Adam Q. Bauer, et al.. (2013). Intraoperative detection of liver tumors aided by a fluorescence goggle system and multimodal imaging. The Analyst. 138(8). 2254–2254. 23 indexed citations
7.
Nothdurft, Ralph E., Pinaki Sarder, Sharon Bloch, Joseph P. Culver, & Samuel Achilefu. (2012). Fluorescence lifetime imaging microscopy using near‐infrared contrast agents. Journal of Microscopy. 247(2). 202–207. 16 indexed citations
8.
Березин, М. Б., Kevin Guo, Walter J. Akers, et al.. (2011). Near-Infrared Fluorescence Lifetime pH-Sensitive Probes. Biophysical Journal. 100(8). 2063–2072. 48 indexed citations
9.
Ptaszek, Marcin, Hooi Ling Kee, C. Muthiah, et al.. (2010). Near-infrared molecular imaging probes based on chlorin-bacteriochlorin dyads. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7576. 75760E–75760E. 9 indexed citations
10.
White, Brian R., et al.. (2010). Handheld Video Rate Fluorescence Diffuse Optical Tomography. 13. BTuD9–BTuD9. 3 indexed citations
11.
Zhang, Zongren, Jinda Fan, Philip P. Cheney, et al.. (2009). Activatable Molecular Systems Using Homologous Near-Infrared Fluorescent Probes for Monitoring Enzyme Activitiesin Vitro,in Cellulo, andin Vivo. Molecular Pharmaceutics. 6(2). 416–427. 41 indexed citations
12.
Kee, Hooi Ling, Ralph E. Nothdurft, C. Muthiah, et al.. (2008). Examination of Chlorin–Bacteriochlorin Energy‐transfer Dyads as Prototypes for Near‐infrared Molecular Imaging Probes†. Photochemistry and Photobiology. 84(5). 1061–1072. 48 indexed citations
13.
Dehghani, Hamid, Colin M. Carpenter, Phaneendra K. Yalavarthy, Brian W. Pogue, & Joseph P. Culver. (2007). Structural a priori information in near-infrared optical tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6431. 64310B–64310B. 5 indexed citations
14.
Patwardhan, Sachin V., Sharon Bloch, Samuel Achilefu, & Joseph P. Culver. (2006). Quantitative small animal fluorescence tomography using an ultra-fast gated image intensifier. PubMed. 2006. 2675–2678. 4 indexed citations
15.
Patwardhan, Sachin V., et al.. (2006). The Influence of Heterogeneous Optical Properties on Fluorescence Diffusion Tomography of Small Animals. Biomedical optics. 8. TuG2–TuG2. 7 indexed citations
16.
Patwardhan, Sachin V., Sharon Bloch, Samuel Achilefu, & Joseph P. Culver. (2006). Quantitative small animal fluorescence tomography using an ultra-fast gated image intensifier. Conference proceedings.
17.
Choe, Regine, Turgut Durduran, Joseph P. Culver, et al.. (2002). Bulk Optical Properties of Normal Breast with Endogeneous and Exogeneous Contrast. 838. TuB4–TuB4. 1 indexed citations
18.
Cheung, Cecil, et al.. (2001). In vivocerebrovascular measurement combining diffuse near-infrared absorption and correlation spectroscopies. Physics in Medicine and Biology. 46(8). 2053–2065. 222 indexed citations
19.
Durduran, Turgut, Joseph P. Culver, Monica J. Holboke, et al.. (1999). Algorithms for 3D localization and imaging using near-field diffraction tomography with diffuse light. Optics Express. 4(8). 247–247. 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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