Institution
Uppsala University
Education•Uppsala, Sweden•
About: Uppsala University is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Insulin. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.
Topics: Population, Insulin, Thin film, Poison control, Gene
Papers published on a yearly basis
Papers
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TL;DR: In this article, the same experimental techniques as used earlier to characterize the composition and properties of the so-called solid electrolyte interphase (SEI) layer formed at the graphite-anode-electrolyte interface of a Li-ion battery are used to acquire some degree of understanding of interface phenomena occurring on the cathode side of the cell, even though the validity of the SEI-layer concept is still somewhat tenuous in this “cathode” context.
761 citations
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TL;DR: The drugs that were approved by the US Food and Drug Administration during the past three decades are analysed and the interactions of these drugs with therapeutic targets that are encoded by the human genome are examined, using the DrugBank database and extensive manual curation.
Abstract: The discovery and exploitation of new drug targets is a key focus for both the pharmaceutical industry and academic biomedical research. To provide an insight into trends in the exploitation of new drug targets, we have analysed the drugs that were approved by the US Food and Drug Administration during the past three decades and examined the interactions of these drugs with therapeutic targets that are encoded by the human genome, using the DrugBank database and extensive manual curation. We have identified 435 effect-mediating drug targets in the human genome, which are modulated by 989 unique drugs, through 2,242 drug-target interactions. We also analyse trends in the introduction of drugs that modulate previously unexploited targets, and discuss the network pharmacology of the drugs in our data set.
761 citations
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TL;DR: Individual benefit-risk might be improved by tailoring dabigatran dose after considering selected patient characteristics, and the risk of ischemic stroke and bleeding outcomes were correlated with dabig atran plasma concentrations.
760 citations
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TL;DR: In this article, three different regimes of fretting are distinguished using dynamic tangential force and displacement measurements and the corresponding modes of surface damage can be identified from post-test metallographic examination.
756 citations
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Johns Hopkins University1, University of Freiburg2, University of Lübeck3, University of Regensburg4, University of Washington5, University of Maryland, Baltimore6, Washington University in St. Louis7, Boston University8, University of Iceland9, Memorial Hospital of South Bend10, National Institutes of Health11, Erasmus University Rotterdam12, University of Greifswald13, McMaster University14, Mayo Clinic15, University of Mainz16, Wake Forest University17, Harvard University18, University of Basel19, Swiss Tropical and Public Health Institute20, Innsbruck Medical University21, Leipzig University22, Western General Hospital23, University of Texas Health Science Center at Houston24, Cedars-Sinai Medical Center25, University of Pittsburgh26, Ludwig Maximilian University of Munich27, University of Ulm28, University of Edinburgh29, University of Split30, University of Zagreb31, Uppsala University32, University of Kiel33, University of London34, University of Oxford35, Amgen36, University of Michigan37, University of Geneva38, Capital Medical University39, University of California, San Francisco40, Heidelberg University41
TL;DR: The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry to identify new susceptibility loci for reduced renal function as estimated by serum creatinine, serum cystatin c and CKD.
Abstract: Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
756 citations
Authors
Showing all 36854 results
Name | H-index | Papers | Citations |
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Zhong Lin Wang | 245 | 2529 | 259003 |
Lewis C. Cantley | 196 | 748 | 169037 |
Darien Wood | 160 | 2174 | 136596 |
Kaj Blennow | 160 | 1845 | 116237 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Tomas Hökfelt | 158 | 1033 | 95979 |
Peter G. Schultz | 156 | 893 | 89716 |
Frederik Barkhof | 154 | 1449 | 104982 |
Deepak L. Bhatt | 149 | 1973 | 114652 |
Svante Pääbo | 147 | 407 | 84489 |
Jan-Åke Gustafsson | 147 | 1058 | 98804 |
Hans-Olov Adami | 145 | 908 | 83473 |
Hermann Kolanoski | 145 | 1279 | 96152 |
Kjell Fuxe | 142 | 1479 | 89846 |
Jan Conrad | 141 | 826 | 71445 |