Daniel Franc

603 total citations
11 papers, 483 citations indexed

About

Daniel Franc is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Franc has authored 11 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Daniel Franc's work include Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers) and Neurological and metabolic disorders (2 papers). Daniel Franc is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers) and Neurological and metabolic disorders (2 papers). Daniel Franc collaborates with scholars based in United States. Daniel Franc's co-authors include Kelvin O. Lim, Bryon A. Mueller, Elizabeth R. Seaquist, Jeffrey R. Wozniak, J. Rao, William Thomas, Sheila Specker, John Rotrosen, Amy Silverman and Ryan L. Muetzel and has published in prestigious journals such as Diabetes, Investigative Ophthalmology & Visual Science and Journal of Immunological Methods.

In The Last Decade

Daniel Franc

11 papers receiving 462 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 Franc United States 8 163 125 110 100 76 11 483
Sadhana Singh India 15 138 0.8× 141 1.1× 57 0.5× 65 0.7× 26 0.3× 39 469
Shilpi Modi India 13 151 0.9× 257 2.1× 65 0.6× 73 0.7× 34 0.4× 44 505
Jun Saito Japan 15 121 0.7× 54 0.4× 172 1.6× 19 0.2× 38 0.5× 32 656
A. Catafau Spain 10 196 1.2× 207 1.7× 166 1.5× 21 0.2× 133 1.8× 25 661
Hilde M. H. Braakman Netherlands 15 137 0.8× 270 2.2× 127 1.2× 26 0.3× 89 1.2× 33 713
Annkathrin Poepel Germany 5 102 0.6× 267 2.1× 179 1.6× 28 0.3× 142 1.9× 7 686
Dominique Flügel Germany 17 68 0.4× 102 0.8× 162 1.5× 29 0.3× 77 1.0× 29 702
Morten Ziebell Denmark 16 152 0.9× 176 1.4× 207 1.9× 38 0.4× 281 3.7× 46 768
Linda Davenport United States 8 101 0.6× 229 1.8× 78 0.7× 24 0.2× 107 1.4× 12 553
Daiquan Zhou China 14 207 1.3× 337 2.7× 57 0.5× 28 0.3× 76 1.0× 27 716

Countries citing papers authored by Daniel Franc

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Franc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Franc

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

All Works

11 of 11 papers shown
1.
Bae, Hyun W., Aaron Calodney, Kent B. Remley, et al.. (2022). Safety and Efficacy of Platelet Rich Plasma for Treatment of Lumbar Discogenic Pain: A Prospective, Multicenter, Randomized, Double-blind Study.. PubMed. 25(1). 29–34. 19 indexed citations
2.
Mowery, Danielle L., et al.. (2014). Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText.. AMIA. 2 indexed citations
3.
Franc, Daniel, Ryan L. Muetzel, Joline Dalton, et al.. (2012). Cerebral and muscle MRI abnormalities in myotonic dystrophy. Neuromuscular Disorders. 22(6). 483–491. 50 indexed citations
4.
Zhan, Liang, Daniel Franc, Vishal Patel, et al.. (2012). How do spatial and angular resolution affect brain connectivity maps from diffusion MRI?. PubMed. 1–4. 17 indexed citations
5.
Franc, Daniel, et al.. (2010). High Connectivity Between Reduced Cortical Thickness and Disrupted White Matter Tracts in Long-Standing Type 1 Diabetes. Diabetes. 60(1). 315–319. 55 indexed citations
6.
Franc, Daniel, J. Rao, William Thomas, et al.. (2008). Diffusion Tensor Imaging Identifies Deficits in White Matter Microstructure in Subjects With Type 1 Diabetes That Correlate With Reduced Neurocognitive Function. Diabetes. 57(11). 3083–3089. 155 indexed citations
7.
Lim, Kelvin O., Jeffrey R. Wozniak, Bryon A. Mueller, et al.. (2007). Brain macrostructural and microstructural abnormalities in cocaine dependence. Drug and Alcohol Dependence. 92(1-3). 164–172. 118 indexed citations
8.
Franc, Daniel, et al.. (2007). Učení zážitkem a hrou : praktická příručka instruktora. 4 indexed citations
9.
Chipps, Timothy J., et al.. (2006). Modification of the Woodruff–Stamper assay demonstrates binding of Toxoplasma gondii tachyzoites to retinal vascular endothelium. Journal of Immunological Methods. 312(1-2). 209–213. 6 indexed citations
10.
Smith, Justine R., Daniel Franc, Nicola S. Carter, et al.. (2004). Susceptibility of Retinal Vascular Endothelium to Infection withToxoplasma gondiiTachyzoites. Investigative Ophthalmology & Visual Science. 45(4). 1157–1157. 41 indexed citations
11.
Franc, Daniel, et al.. (2004). Outdoor and Experiential Learning: An Holistic and Creative Approach to Programme Design. 16 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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