P. Hougaard

1.3k citations
10 papers · 818 indexed · h-index 6

P. Hougaard

9 papers receiving 784 citations

Peers

P. Hougaard
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 348
  • Nephrology 132
  • Cardiology and Cardiovascular Medicine 192
  • Rheumatology 86
  • Statistics and Probability 46
Replace Haofei Hu with:
Haofei Hu China
Kerry Willis United States
E Cacès France
F.T.M. Huysmans Netherlands
G Bargero Italy
Stefano Ciardullo Italy
Elizabeth J Mayer United States
Fernando J. Lavalle‐González Mexico
B L Kasiske United States
Yaguang Peng China
P. Hougaard relative to Haofei Hu China Haofei Hu's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside P. Hougaard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Hougaard Line = papers co-authored together P. Hougaard links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
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
20101
2 20090
3 200371
4 20005
5 199994
6
[Significant risk factors for development of microalbuminuria and diabetic nephropathy in patients with non-insulin-dependent diabetes].
19981
7 1996344
8 1996225
9 199415
10 199462

About P. Hougaard

P. Hougaard is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Gastroenterology, Demography and Nephrology, having authored 10 papers that have together received 818 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Treatment and Management (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Statistical Methods and Inference (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (348 citations), Nephrology (132 citations), Cardiology and Cardiovascular Medicine (192 citations), Rheumatology (86 citations) and Statistics and Probability (46 citations). P. Hougaard has collaborated with scholars based in Denmark, Netherlands and Australia. Frequent 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. Their work appears in journals such as Diabetologia, Pediatric Diabetes, Kidney International, Journal of Clinical Investigation and Lifetime Data Analysis.

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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