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Institution

University of Copenhagen

EducationCopenhagen, Denmark
About: University of Copenhagen is a education organization based out in Copenhagen, Denmark. It is known for research contribution in the topics: Population & Medicine. The organization has 57645 authors who have published 149740 publications receiving 5903093 citations. The organization is also known as: Copenhagen University & Københavns Universitet.


Papers
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Journal ArticleDOI
TL;DR: Immunoglobulin G (IgG) autoantibodies against extranuclear components of polymorphonuclear granulocytes were detected in 25 of 27 serum samples from patients with active Wegener's granulomatosis and in only 4 of 32 samples from Patients without signs of disease activity.

1,842 citations

Journal ArticleDOI
TL;DR: The possibility of linkage with many other nationwide individual-level data sources renders the DNPR a very powerful pharmacoepidemiological tool.
Abstract: Introduction: Individual-level data on all prescription drugs sold in Danish community pharmacies has since 1994 been recorded in the Register of Medicinal Products Statistics of the Danish Medicines Agency. Content: The register subset, termed the Danish National Prescription Registry (DNPR), contains information on dispensed prescriptions, including variables at the level of the drug user, the prescriber, and the pharmacy. Validity and coverage: Reimbursement-driven record keeping, with automated bar-code-based data entry provides data of high quality, including detailed information on the dispensed drug. Conclusion: The possibility of linkage with many other nationwide individual-level data sources renders the DNPR a very powerful pharmacoepidemiological tool.

1,828 citations

Book
11 Jul 2019
TL;DR: The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.
Abstract: Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.

1,827 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed some new tests for structural hypotheses in the framework of a multivariate error correction model with Gaussian errors, based on an analysis of the likelihood function and motivated by an empirical investigation of the PPP relation and the UIP relation for the United Kingdom.

1,822 citations

Journal ArticleDOI
Xiaowu Wang1, Hanzhong Wang, Jun Wang2, Jun Wang3, Jun Wang4, Rifei Sun, Jian Wu, Shengyi Liu, Yinqi Bai2, Jeong-Hwan Mun5, Ian Bancroft6, Feng Cheng, Sanwen Huang, Xixiang Li, Wei Hua, Junyi Wang2, Xiyin Wang7, Xiyin Wang8, Michael Freeling9, J. Chris Pires10, Andrew H. Paterson8, Boulos Chalhoub, Bo Wang2, Alice Hayward11, Alice Hayward12, Andrew G. Sharpe13, Beom-Seok Park5, Bernd Weisshaar14, Binghang Liu2, Bo Li2, Bo Liu, Chaobo Tong, Chi Song2, Chris Duran15, Chris Duran12, Chunfang Peng2, Geng Chunyu2, Chushin Koh13, Chuyu Lin2, David Edwards12, David Edwards15, Desheng Mu2, Di Shen, Eleni Soumpourou6, Fei Li, Fiona Fraser6, Gavin C. Conant10, Gilles Lassalle16, Graham J.W. King3, Guusje Bonnema17, Haibao Tang9, Haiping Wang, Harry Belcram, Heling Zhou2, Hideki Hirakawa, Hiroshi Abe, Hui Guo8, Hui Wang, Huizhe Jin8, Isobel A. P. Parkin18, Jacqueline Batley11, Jacqueline Batley12, Jeong-Sun Kim5, Jérémy Just, Jianwen Li2, Jiaohui Xu2, Jie Deng, Jin A Kim5, Jingping Li8, Jingyin Yu, Jinling Meng19, Jinpeng Wang7, Jiumeng Min2, Julie Poulain20, Katsunori Hatakeyama, Kui Wu2, Li Wang7, Lu Fang, Martin Trick6, Matthew G. Links18, Meixia Zhao, Mina Jin5, Nirala Ramchiary21, Nizar Drou22, Paul J. Berkman15, Paul J. Berkman12, Qingle Cai2, Quanfei Huang2, Ruiqiang Li2, Satoshi Tabata, Shifeng Cheng2, Shu Zhang2, Shujiang Zhang, Shunmou Huang, Shusei Sato, Silong Sun, Soo-Jin Kwon5, Su-Ryun Choi21, Tae-Ho Lee8, Wei Fan2, Xiang Zhao2, Xu Tan8, Xun Xu2, Yan Wang, Yang Qiu, Ye Yin2, Yingrui Li2, Yongchen Du, Yongcui Liao, Yong Pyo Lim21, Yoshihiro Narusaka, Yupeng Wang7, Zhenyi Wang7, Zhenyu Li2, Zhiwen Wang2, Zhiyong Xiong10, Zhonghua Zhang 
TL;DR: The annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage, and used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution.
Abstract: We report the annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. rapa genome, which has undergone genome triplication. We used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution. The extent of gene loss (fractionation) among triplicated genome segments varies, with one of the three copies consistently retaining a disproportionately large fraction of the genes expected to have been present in its ancestor. Variation in the number of members of gene families present in the genome may contribute to the remarkable morphological plasticity of Brassica species. The B. rapa genome sequence provides an important resource for studying the evolution of polyploid genomes and underpins the genetic improvement of Brassica oil and vegetable crops.

1,811 citations


Authors

Showing all 58387 results

NameH-indexPapersCitations
Michael Karin236704226485
Matthias Mann221887230213
Peer Bork206697245427
Ronald Klein1941305149140
Kenneth S. Kendler1771327142251
Dorret I. Boomsma1761507136353
Ramachandran S. Vasan1721100138108
Unnur Thorsteinsdottir167444121009
Mika Kivimäki1661515141468
Jun Wang1661093141621
Anders Björklund16576984268
Gerald I. Shulman164579109520
Jaakko Kaprio1631532126320
Veikko Salomaa162843135046
Daniel J. Jacob16265676530
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023370
20221,266
202110,694
20209,956
20199,190
20188,620