Chris Halling Dreyer

721 total citations · 1 hit paper
8 papers, 598 citations indexed

About

Chris Halling Dreyer is a scholar working on Surgery, Biomedical Engineering and Genetics. According to data from OpenAlex, Chris Halling Dreyer has authored 8 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in Chris Halling Dreyer's work include Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (3 papers) and Mesenchymal stem cell research (3 papers). Chris Halling Dreyer is often cited by papers focused on Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (3 papers) and Mesenchymal stem cell research (3 papers). Chris Halling Dreyer collaborates with scholars based in Denmark and Hong Kong. Chris Halling Dreyer's co-authors include Ming Ding, Kristian Kjærgaard, Søren Overgaard, Nicholas Ditzel, Søren P. Sheikh, Li Chen, Christina Møller Andreasen, Ling Qin, Niklas Rye Jørgensen and Thomas Emil Andersen and has published in prestigious journals such as BioMed Research International, Calcified Tissue International and Journal of Biomedical Materials Research Part A.

In The Last Decade

Chris Halling Dreyer

8 papers receiving 596 citations

Hit Papers

Bone Formation by Sheep Stem Cells in an Ectopic Mouse Mo... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Halling Dreyer Denmark 6 194 167 165 157 96 8 598
Jihee Sohn United States 11 325 1.7× 215 1.3× 172 1.0× 174 1.1× 98 1.0× 21 728
Elena Groppa Switzerland 9 290 1.5× 108 0.6× 132 0.8× 100 0.6× 114 1.2× 12 568
EunAh Lee South Korea 14 236 1.2× 126 0.8× 161 1.0× 132 0.8× 100 1.0× 26 766
Jianguang Xu China 15 232 1.2× 144 0.9× 127 0.8× 148 0.9× 71 0.7× 25 537
Magdalena Richter Poland 16 193 1.0× 111 0.7× 152 0.9× 174 1.1× 73 0.8× 39 650
Pouya Mafi United Kingdom 14 187 1.0× 269 1.6× 213 1.3× 84 0.5× 71 0.7× 26 658
Joana R. Ferreira Portugal 8 199 1.0× 269 1.6× 197 1.2× 86 0.5× 55 0.6× 10 658
Ross Fitzsimmons Canada 7 302 1.6× 178 1.1× 103 0.6× 116 0.7× 65 0.7× 8 596
Claire Rhee United States 11 168 0.9× 155 0.9× 199 1.2× 218 1.4× 50 0.5× 17 655
Johnny Huard United States 15 248 1.3× 173 1.0× 199 1.2× 83 0.5× 50 0.5× 31 600

Countries citing papers authored by Chris Halling Dreyer

Since Specialization
Citations

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

Fields of papers citing papers by Chris Halling Dreyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Halling Dreyer. 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 Chris Halling Dreyer. The network helps show where Chris Halling Dreyer may publish in the future.

Co-authorship network of co-authors of Chris Halling Dreyer

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

All Works

8 of 8 papers shown
2.
Ding, Ming, et al.. (2024). The effect of VEGF stimulation in diabetic foot ulcers: A systematic review. Wound Repair and Regeneration. 32(4). 384–392. 11 indexed citations
3.
Dreyer, Chris Halling, Louise Kruse Jensen, Henrik Elvang Jensen, et al.. (2024). The potential of sheep in preclinical models for bone infection research – A systematic review. Journal of Orthopaedic Translation. 45. 120–131. 8 indexed citations
4.
Dreyer, Chris Halling, Niklas Rye Jørgensen, Søren Overgaard, Ling Qin, & Ming Ding. (2021). Vascular Endothelial Growth Factor and Mesenchymal Stem Cells Revealed Similar Bone Formation to Allograft in a Sheep Model. BioMed Research International. 2021(1). 6676609–6676609. 4 indexed citations
5.
Dreyer, Chris Halling, Kristian Kjærgaard, Ming Ding, & Ling Qin. (2020). Vascular endothelial growth factor for in vivo bone formation: A systematic review. Journal of Orthopaedic Translation. 24. 46–57. 61 indexed citations
6.
Dreyer, Chris Halling, et al.. (2020). Comparisons of Efficacy between Autograft and Allograft on Defect Repair In Vivo in Normal and Osteoporotic Rats. BioMed Research International. 2020(1). 9358989–9358989. 22 indexed citations
7.
Dreyer, Chris Halling, Kristian Kjærgaard, Nicholas Ditzel, et al.. (2017). Optimizing combination of vascular endothelial growth factor and mesenchymal stem cells on ectopic bone formation in SCID mice. Journal of Biomedical Materials Research Part A. 105(12). 3326–3332. 8 indexed citations
8.
Kjærgaard, Kristian, Chris Halling Dreyer, Nicholas Ditzel, et al.. (2016). Bone Formation by Sheep Stem Cells in an Ectopic Mouse Model: Comparison of Adipose and Bone Marrow Derived Cells and Identification of Donor‐Derived Bone by Antibody Staining. Stem Cells International. 2016(1). 3846971–3846971. 482 indexed citations breakdown →

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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