N. C. Dornbluth

555 total citations
9 papers, 384 citations indexed

About

N. C. Dornbluth is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, N. C. Dornbluth has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pathology and Forensic Medicine and 3 papers in Biomedical Engineering. Recurrent topics in N. C. Dornbluth's work include Ultrasound Imaging and Elastography (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Breast Lesions and Carcinomas (3 papers). N. C. Dornbluth is often cited by papers focused on Ultrasound Imaging and Elastography (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Breast Lesions and Carcinomas (3 papers). N. C. Dornbluth collaborates with scholars based in United States. N. C. Dornbluth's co-authors include Janet L. Potter, Gary D. Fullerton, Kenneth Kist, Daniel D. Mais, Hamza Alizai, Richard Pollak, Rulon L. Hardman, Bryan Clingman, Jason Zalev and A. Thomas Stavros and has published in prestigious journals such as Radiographics, Magnetic Resonance Imaging and Journal of Ultrasound in Medicine.

In The Last Decade

N. C. Dornbluth

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. C. Dornbluth United States 7 196 93 62 59 54 9 384
Kingshuk Chatterjee India 11 231 1.2× 53 0.6× 134 2.2× 43 0.7× 80 1.5× 47 541
H. Higer Germany 11 136 0.7× 104 1.1× 97 1.6× 15 0.3× 41 367
Antonio C. Brito United States 10 157 0.8× 10 0.1× 69 1.1× 62 1.1× 3 0.1× 17 364
Peter Sunenshine United States 7 40 0.2× 29 0.3× 53 0.9× 26 0.4× 31 0.6× 7 175
Jon H. Trueblood United States 9 97 0.5× 51 0.5× 66 1.1× 95 1.6× 16 0.3× 14 349
Lidi Wan United States 12 275 1.4× 16 0.2× 87 1.4× 17 0.3× 26 446
Alice Yu United States 12 522 2.7× 18 0.2× 47 0.8× 110 1.9× 1 0.0× 21 745
B. L. Chapman Australia 8 27 0.1× 70 0.8× 100 1.6× 28 0.5× 10 0.2× 12 346
Yu‐Chiao Wu Taiwan 13 56 0.3× 15 0.2× 26 0.4× 12 0.2× 2 0.0× 27 445
Curtis N. Wiens United States 12 233 1.2× 5 0.1× 39 0.6× 23 0.4× 3 0.1× 22 372

Countries citing papers authored by N. C. Dornbluth

Since Specialization
Citations

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

Fields of papers citing papers by N. C. Dornbluth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. C. Dornbluth. 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 N. C. Dornbluth. The network helps show where N. C. Dornbluth may publish in the future.

Co-authorship network of co-authors of N. C. Dornbluth

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

All Works

9 of 9 papers shown
1.
Ritter, Jacob, et al.. (2020). Grossing Breast Cancer Specimens: A Comprehensive Review. 25(4). 148–155. 1 indexed citations
2.
Alizai, Hamza, et al.. (2018). Idiopathic Granulomatous Mastitis: Manifestations at Multimodality Imaging and Pitfalls. Radiographics. 38(2). 330–356. 103 indexed citations
3.
Zalev, Jason, Bryan Clingman, Tom Miller, et al.. (2015). Opto-acoustic image fusion technology for diagnostic breast imaging in a feasibility study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9419. 941909–941909. 9 indexed citations
4.
Zalev, Jason, Bryan Clingman, Tom Miller, et al.. (2014). Opto-acoustic breast imaging with co-registered ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9038. 90381J–90381J. 7 indexed citations
5.
Hardman, Rulon L., et al.. (2013). A Novel Technique for Teaching Challenging Ultrasound‐Guided Breast Procedures to Radiology Residents. Journal of Ultrasound in Medicine. 32(10). 1845–1854. 17 indexed citations
6.
Zalev, Jason, Bryan Clingman, Tom Miller, et al.. (2013). Clinical feasibility study of combined opto-acoustic and ultrasonic imaging modality providing coregistered functional and anatomical maps of breast tumors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8581. 858103–858103. 16 indexed citations
7.
Pollak, Richard, et al.. (1993). Sonographic analysis of Morton's neuroma.. PubMed. 31(6). 534–7. 44 indexed citations
8.
Dornbluth, N. C., et al.. (1983). Assessment of follicular development by ultrasonography and total serum estrogen in human menopausal gonadotropin-stimulated cycles.. Journal of Ultrasound in Medicine. 2(9). 407–412. 6 indexed citations
9.
Fullerton, Gary D., Janet L. Potter, & N. C. Dornbluth. (1982). NMR relaxation of protons in tissues and other macromolecular water solutions. Magnetic Resonance Imaging. 1(4). 209–226. 181 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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