Danielle D. Langeloo

11 total papers · 582 total citations
9 papers, 416 citations indexed

About

Danielle D. Langeloo is a scholar working on Surgery, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Danielle D. Langeloo has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 2 papers in Pathology and Forensic Medicine and 2 papers in Epidemiology. Recurrent topics in Danielle D. Langeloo's work include Spinal Fractures and Fixation Techniques (6 papers), Intraoperative Neuromonitoring and Anesthetic Effects (5 papers) and Scoliosis diagnosis and treatment (2 papers). Danielle D. Langeloo is often cited by papers focused on Spinal Fractures and Fixation Techniques (6 papers), Intraoperative Neuromonitoring and Anesthetic Effects (5 papers) and Scoliosis diagnosis and treatment (2 papers). Danielle D. Langeloo collaborates with scholars based in Netherlands and United States. Danielle D. Langeloo's co-authors include Marinus de Kleuver, H. L. Journée, R. Slappendel, R.P.H. Veth, Allard J. F. Hosman, Patricia G. Anderson, Paul W. Pavlov and Jacques van Limbeek and has published in prestigious journals such as Spine, European Spine Journal and Journal of Spinal Disorders & Techniques.

In The Last Decade

Danielle D. Langeloo

8 papers receiving 400 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle D. Langeloo 409 137 78 39 18 9 416
Hans Jørgen Nepper-Rasmussen 164 0.4× 91 0.7× 45 0.6× 35 0.9× 9 0.5× 11 405
Crockard Ha 287 0.7× 161 1.2× 64 0.8× 112 2.9× 6 0.3× 13 393
Jeffrey M. Jancuska 191 0.5× 143 1.0× 96 1.2× 50 1.3× 3 0.2× 10 393
MA Edgar 415 1.0× 138 1.0× 39 0.5× 92 2.4× 4 0.2× 8 462
Yu-Shu Yen 288 0.7× 197 1.4× 61 0.8× 40 1.0× 6 0.3× 12 398
Sean B. Peppard 159 0.4× 58 0.4× 76 1.0× 14 0.4× 58 3.2× 13 449
Mary Anne Whelan 227 0.6× 87 0.6× 17 0.2× 136 3.5× 7 0.4× 9 475
Simona Buonamassa 233 0.6× 59 0.4× 126 1.6× 86 2.2× 7 0.4× 14 453
P. Cervellini 188 0.5× 139 1.0× 55 0.7× 201 5.2× 5 0.3× 17 398
Noortje I. Regensburg 112 0.3× 344 2.5× 56 0.7× 168 4.3× 15 0.8× 10 481

Countries citing papers authored by Danielle D. Langeloo

Since Specialization
Citations

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

Fields of papers citing papers by Danielle D. Langeloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle D. Langeloo. 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 Danielle D. Langeloo. The network helps show where Danielle D. Langeloo may publish in the future.

Co-authorship network of co-authors of Danielle D. Langeloo

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

All Works

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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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