Bjarne Ørskov

619 total citations
8 papers, 281 citations indexed

About

Bjarne Ørskov is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Nephrology. According to data from OpenAlex, Bjarne Ørskov has authored 8 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Nephrology. Recurrent topics in Bjarne Ørskov's work include Genetic and Kidney Cyst Diseases (8 papers), Renal Diseases and Glomerulopathies (3 papers) and Genetic Syndromes and Imprinting (2 papers). Bjarne Ørskov is often cited by papers focused on Genetic and Kidney Cyst Diseases (8 papers), Renal Diseases and Glomerulopathies (3 papers) and Genetic Syndromes and Imprinting (2 papers). Bjarne Ørskov collaborates with scholars based in Denmark, United Kingdom and Germany. Bjarne Ørskov's co-authors include Svend Strandgaard, Bo Feldt‐Rasmussen, Vibeke Rømming Sørensen, Karl Bang Christensen, Damian Fogarty, Malene Landbo Børresen, Maurizio Postorino, Ron T. Gansevoort, Jaap W. Groothoff and Christoph Wanner and has published in prestigious journals such as Kidney International, Clinical Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

In The Last Decade

Bjarne Ørskov

8 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bjarne Ørskov Denmark 6 219 136 103 76 46 8 281
Giuseppina Casu Italy 8 192 0.9× 96 0.7× 46 0.4× 38 0.5× 19 0.4× 13 325
Edwin M. Spithoven Netherlands 9 227 1.0× 126 0.9× 95 0.9× 63 0.8× 64 1.4× 19 289
Hedwig M. A. D‘Agnolo Netherlands 9 171 0.8× 69 0.5× 22 0.2× 25 0.3× 39 0.8× 10 220
Yoshiyuki Watabe Japan 7 122 0.6× 134 1.0× 7 0.1× 83 1.1× 27 0.6× 12 287
Alma Idrizi Albania 6 51 0.2× 31 0.2× 29 0.3× 28 0.4× 23 0.5× 33 113
Daniel Ranch United States 6 51 0.2× 36 0.3× 97 0.9× 14 0.2× 26 0.6× 12 137
J.M. Wilhelm France 3 204 0.9× 166 1.2× 7 0.1× 35 0.5× 6 0.1× 5 304
Kah Mean Thong Malaysia 6 79 0.4× 61 0.4× 49 0.5× 22 0.3× 14 0.3× 12 152
Asiri Abeyagunawardena Sri Lanka 11 30 0.1× 79 0.6× 244 2.4× 7 0.1× 81 1.8× 18 291
Elisabeth Widén Finland 2 162 0.7× 49 0.4× 6 0.1× 20 0.3× 11 0.2× 2 250

Countries citing papers authored by Bjarne Ørskov

Since Specialization
Citations

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

Fields of papers citing papers by Bjarne Ørskov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bjarne Ørskov

This figure shows the co-authorship network connecting the top 25 collaborators of Bjarne Ørskov. A scholar is included among the top collaborators of Bjarne Ørskov 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 Bjarne Ørskov. Bjarne Ørskov 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
1.
Egfjord, Martin, et al.. (2023). Does hydration status influence kidney volume in autosomal dominant polycystic kidney disease?. Clinical Nephrology. 100(5). 195–201. 2 indexed citations
2.
McEwan, Phil, Hayley Bennett, Albert Ong, et al.. (2018). A model to predict disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD): the ADPKD Outcomes Model. BMC Nephrology. 19(1). 37–37. 40 indexed citations
3.
Robinson, Paul, Phil McEwan, Albert Ong, et al.. (2015). FP064ASSESSING THE LONG TERM OUTCOMES OF AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE (ADPKD) USING THE ADPKD OUTCOMES MODEL: A UK CASE STUDY. Nephrology Dialysis Transplantation. 30(suppl_3). iii85–iii86. 1 indexed citations
5.
Ørskov, Bjarne, Karl Bang Christensen, Bo Feldt‐Rasmussen, & Svend Strandgaard. (2012). Low birth weight is associated with earlier onset of end-stage renal disease in Danish patients with autosomal dominant polycystic kidney disease. Kidney International. 81(9). 919–924. 38 indexed citations
6.
Ørskov, Bjarne, Vibeke Rømming Sørensen, Bo Feldt‐Rasmussen, & Svend Strandgaard. (2011). Changes in causes of death and risk of cancer in Danish patients with autosomal dominant polycystic kidney disease and end-stage renal disease. Nephrology Dialysis Transplantation. 27(4). 1607–1613. 45 indexed citations
7.
Ørskov, Bjarne, Vibeke Rømming Sørensen, Bo Feldt‐Rasmussen, & Svend Strandgaard. (2010). Improved Prognosis in Patients with Autosomal Dominant Polycystic Kidney Disease in Denmark. Clinical Journal of the American Society of Nephrology. 5(11). 2034–2039. 44 indexed citations
8.
Ørskov, Bjarne, et al.. (2009). Estimating Glomerular Filtration Rate Using the New CKD-EPI Equation and Other Equations in Patients with Autosomal Dominant Polycystic Kidney Disease. American Journal of Nephrology. 31(1). 53–57. 31 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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