P. Hougaard

1.3k total citations
10 papers, 818 citations indexed

About

P. Hougaard is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, P. Hougaard has authored 10 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in P. Hougaard's work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Diabetes Management and Research (3 papers). P. Hougaard is often cited by papers focused on Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Diabetes Management and Research (3 papers). P. Hougaard collaborates with scholars based in Denmark, Netherlands and Australia. P. Hougaard's co-authors include K. Borch‐Johnsen, Peter Rossing, H.-H. Parving, J. O. Clausen, Oluf Pedersen, K. Winther, Hans Ibsen, Richard N. Bergman, Cornelis Jakobs and Hans‐Henrik Parving and has published in prestigious journals such as Journal of Clinical Investigation, Biometrics and Kidney International.

In The Last Decade

P. Hougaard

9 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Hougaard Denmark 6 348 193 192 154 140 10 818
E Cacès France 15 294 0.8× 99 0.5× 147 0.8× 46 0.3× 97 0.7× 25 900
Haofei Hu China 17 482 1.4× 155 0.8× 188 1.0× 39 0.3× 128 0.9× 127 1.0k
Kerry Willis United States 7 240 0.7× 120 0.6× 207 1.1× 31 0.2× 41 0.3× 13 874
Joel Kahn United States 8 226 0.6× 494 2.6× 221 1.2× 104 0.7× 33 0.2× 11 795
G Bargero Italy 17 591 1.7× 145 0.8× 341 1.8× 52 0.3× 55 0.4× 24 971
Kerensa Thorne United Kingdom 6 965 2.8× 217 1.1× 150 0.8× 120 0.8× 102 0.7× 13 1.4k
Santica Marcovina United States 14 615 1.8× 331 1.7× 128 0.7× 256 1.7× 168 1.2× 29 1.0k
F.T.M. Huysmans Netherlands 15 92 0.3× 137 0.7× 209 1.1× 40 0.3× 47 0.3× 30 653
Rita Rachmani Israel 14 493 1.4× 153 0.8× 345 1.8× 36 0.2× 78 0.6× 25 1.0k
Rhonda Bentley–Lewis United States 21 480 1.4× 266 1.4× 317 1.7× 62 0.4× 119 0.8× 34 1.7k

Countries citing papers authored by P. Hougaard

Since Specialization
Citations

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

Fields of papers citing papers by P. Hougaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Hougaard

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

All Works

10 of 10 papers shown
1.
Pörksen, Sven, Lotte B. Nielsen, Jesper Johannesen, et al.. (2010). Analyses of the rate of decline in stimulated c-peptide 12 months after diagnosis in children with newly diag-nosed type 1 diabetes. results from the Hvidoere study group on childhood diabetes. Pediatric Diabetes. 1 indexed citations
2.
Nielsen, Lotte B., Sven Pörksen, Jannet Svensson, et al.. (2009). Strong association between SLC30A8 gene variant and ZnT8 autoantibody specificity during disease progression in two independent cohorts of children with newly diagnosed type 1 diabetes. Lund University Publications (Lund University). 52. 29–29.
3.
Pedersen‐Bjergaard, Ulrik, Birgit Agerholm-Larsen, Stig Pramming, P. Hougaard, & Birger Thorsteinsson. (2003). Prediction of Severe Hypoglycaemia by Angiotensin-Converting Enzyme Activity and Genotype in Type 1 Diabetes. Diabetologia. 46(1). 89–96. 71 indexed citations
4.
Hougaard, P., et al.. (2000). Fisher Information for Two Gamma Frailty Bivariate Weibull Models. Lifetime Data Analysis. 6(1). 59–71. 5 indexed citations
5.
Stehouwer, Coen D.A., Mari-Anne Gall, P. Hougaard, Cornelis Jakobs, & Hans‐Henrik Parving. (1999). Plasma homocysteine concentration predicts mortality in non-insulin-dependent diabetic patients with and without albuminuria. Kidney International. 55(1). 308–314. 94 indexed citations
6.
Hougaard, P., et al.. (1998). [Significant risk factors for development of microalbuminuria and diabetic nephropathy in patients with non-insulin-dependent diabetes].. PubMed. 160(31). 4524–7. 1 indexed citations
7.
Rossing, Peter, P. Hougaard, K. Borch‐Johnsen, & H.-H. Parving. (1996). Predictors of mortality in insulin dependent diabetes: 10 year observational follow up study. BMJ. 313(7060). 779–784. 344 indexed citations
9.
Nerup, J., Tove Lorenzen, Flemming Pociot, & P. Hougaard. (1994). Long-term risk of IDDM in first-degree relatives of patients with IDDM. Diabetologia. 37(3). 321–327. 15 indexed citations
10.
Hougaard, P., et al.. (1994). Heterogeneity Models of Disease Susceptibility, with Application to Diabetic Nephropathy. Biometrics. 50(4). 1178–1178. 62 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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