Daniel C. Ursu

790 total citations
27 papers, 581 citations indexed

About

Daniel C. Ursu is a scholar working on Biomedical Engineering, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel C. Ursu has authored 27 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Surgery and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel C. Ursu's work include Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (7 papers) and Nerve injury and regeneration (4 papers). Daniel C. Ursu is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (7 papers) and Nerve injury and regeneration (4 papers). Daniel C. Ursu collaborates with scholars based in United States, Netherlands and France. Daniel C. Ursu's co-authors include Dan Stoianovici, Alexandru Patriciu, Doru Petrisor, Danny Y. Song, Michael Schär, Paul S. Cederna, Dumitru Mazilu, Stephen W.P. Kemp, Melanie G. Urbanchek and R. Brent Gillespie and has published in prestigious journals such as Radiology, Annals of Oncology and Neurosurgery.

In The Last Decade

Daniel C. Ursu

25 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Ursu United States 12 286 243 167 106 82 27 581
Jonathan Tang United States 11 238 0.8× 95 0.4× 22 0.1× 96 0.9× 76 0.9× 33 568
Vairavan Narayanan Malaysia 13 299 1.0× 326 1.3× 50 0.3× 149 1.4× 59 0.7× 57 734
Michael Cooklin United Kingdom 20 116 0.4× 156 0.6× 29 0.2× 412 3.9× 60 0.7× 50 1.6k
Gal Hayam Israel 15 109 0.4× 226 0.9× 115 0.7× 501 4.7× 52 0.6× 31 1.7k
Michel Lefranc France 17 214 0.7× 357 1.5× 239 1.4× 90 0.8× 31 0.4× 60 945
Olaf Alberti Germany 17 155 0.5× 298 1.2× 238 1.4× 300 2.8× 44 0.5× 22 1.3k
R. Filippi Germany 18 69 0.2× 399 1.6× 288 1.7× 151 1.4× 53 0.6× 25 880
Stuart P. Thomas Australia 25 172 0.6× 290 1.2× 174 1.0× 152 1.4× 105 1.3× 123 2.5k
Takashi Ueguchi Japan 15 156 0.5× 80 0.3× 44 0.3× 268 2.5× 103 1.3× 40 547

Countries citing papers authored by Daniel C. Ursu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Ursu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Ursu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Ursu. A scholar is included among the top collaborators of Daniel C. Ursu 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 Daniel C. Ursu. Daniel C. Ursu 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.
2.
Sando, Ian C., Daniel C. Ursu, Carrie A. Kubiak, et al.. (2022). Dermal Sensory Regenerative Peripheral Nerve Interface for Reestablishing Sensory Nerve Feedback in Peripheral Afferents in the Rat. Plastic & Reconstructive Surgery. 151(5). 804e–813e. 13 indexed citations
3.
Afshari, Khashayar, Daniel C. Ursu, Arvin Haj‐Mirzaian, et al.. (2020). Sumatriptan improves the locomotor activity and neuropathic pain by modulating neuroinflammation in rat model of spinal cord injury. Neurological Research. 43(1). 29–39. 15 indexed citations
4.
Ursu, Daniel C., Ian C. Sando, Theodore A. Kung, et al.. (2020). Regenerative peripheral nerve interface free muscle graft mass and function. Muscle & Nerve. 63(3). 421–429. 25 indexed citations
5.
Kubiak, Carrie A., Daniel C. Ursu, Parag G. Patil, et al.. (2019). Abstract 36: Viability and Signal Transduction with the Composite Regenerative Peripheral Nerve Interface (C-RPNI). Plastic & Reconstructive Surgery Global Open. 7(4S). 26–27. 2 indexed citations
6.
Ursu, Daniel C., Cheryl A. Hassett, Patrick J. Buchanan, et al.. (2018). Regenerative peripheral nerve interfaces for real-time, proportional control of a Neuroprosthetic hand. Journal of NeuroEngineering and Rehabilitation. 15(1). 108–108. 45 indexed citations
7.
Ursu, Daniel C., et al.. (2017). Adjacent regenerative peripheral nerve interfaces produce phase-antagonist signals during voluntary walking in rats. Journal of NeuroEngineering and Rehabilitation. 14(1). 33–33. 9 indexed citations
8.
Ives, Graham C., Theodore A. Kung, Daniel C. Ursu, et al.. (2017). Current State of the Surgical Treatment of Terminal Neuromas. Neurosurgery. 83(3). 354–364. 70 indexed citations
9.
Ursu, Daniel C., et al.. (2016). In vivocharacterization of regenerative peripheral nerve interface function. Journal of Neural Engineering. 13(2). 26012–26012. 33 indexed citations
10.
Sando, Ian C., Gregory J. Gerling, Daniel C. Ursu, et al.. (2015). Dermal-Based Peripheral Nerve Interface for Transduction of Sensory Feedback. Plastic & Reconstructive Surgery. 136. 19–20. 9 indexed citations
11.
Sando, Ian C., Gregory J. Gerling, Daniel C. Ursu, et al.. (2015). LOP29. Plastic & Reconstructive Surgery. 136(2). 443–443. 1 indexed citations
12.
Paccou, Julien, Éric Desailly, Bérengère Gruson, et al.. (2014). Alterations in bone mineral density and bone turnover markers in newly diagnosed adults with lymphoma receiving chemotherapy: a 1-year prospective pilot study. Annals of Oncology. 25(2). 481–486. 28 indexed citations
13.
14.
Ursu, Daniel C., Cheryl A. Hassett, R. Brent Gillespie, et al.. (2014). Abstract 18. Plastic & Reconstructive Surgery. 133(3 Suppl). 27–28. 3 indexed citations
15.
Ursu, Daniel C., Cheryl A. Hassett, R. Brent Gillespie, et al.. (2014). Abstract 60. Plastic & Reconstructive Surgery. 133(3 Suppl). 71–71. 3 indexed citations
16.
Ross, Paula T., Monica L. Lypson, Daniel C. Ursu, et al.. (2011). Attitudes of Ghanaian women toward genetic testing for sickle cell trait. International Journal of Gynecology & Obstetrics. 115(3). 264–268. 14 indexed citations
17.
Müntener, Michael, Alexandru Patriciu, Doru Petrisor, et al.. (2008). Transperineal Prostate Intervention: Robot for Fully Automated MR Imaging—System Description and Proof of Principle in a Canine Model. Radiology. 247(2). 543–549. 63 indexed citations
18.
Stoianovici, Dan, Danny Y. Song, Doru Petrisor, et al.. (2007). “MRI Stealth” robot for prostate interventions. Minimally Invasive Therapy & Allied Technologies. 16(4). 241–248. 150 indexed citations
19.
Müntener, Michael, Daniel C. Ursu, Alexandru Patriciu, Doru Petrisor, & Dan Stoianovici. (2006). Robotic prostate surgery. Expert Review of Medical Devices. 3(5). 575–584. 10 indexed citations
20.
Aksakallı, Vural & Daniel C. Ursu. (2006). Control of Nonlinear Stochastic Systems: Model-Free Controllers versus Linear Quadratic Regulators. 4145–4150. 8 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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