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Institution

Uppsala University

EducationUppsala, 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
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
01 Sep 1988-Wear
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

Journal ArticleDOI
Anna Köttgen1, Anna Köttgen2, Cristian Pattaro3, Carsten A. Böger4, Christian Fuchsberger3, Matthias Olden4, Nicole L. Glazer5, Afshin Parsa6, Xiaoyi Gao7, Qiong Yang8, Albert V. Smith9, Jeffrey R. O'Connel, Man Li1, Helena Schmidt, Toshiko Tanaka10, Toshiko Tanaka11, Aaron Isaacs12, Shamika Ketkar7, Shih-Jen Hwang11, Andrew D. Johnson11, Abbas Dehghan12, Alexander Teumer13, Guillaume Paré14, Elizabeth J. Atkinson15, Tanja Zeller16, Kurt Lohman17, Marilyn C. Cornelis18, Nicole Probst-Hensch19, Nicole Probst-Hensch20, Florian Kronenberg21, Anke Tönjes22, Caroline Hayward23, Thor Aspelund9, Gudny Eiriksdottir, Lenore J. Launer11, Tamara B. Harris11, Evadnie Rampersaud, Braxton D. Mitchel, Dan E. Arking1, Eric Boerwinkle24, Maksim Struchalin12, Margherita Cavalieri, Andrew B. Singleton11, Francesco Giallauria, Jeffrey Metter, Ian H. de Boer5, Talin Haritunians25, Thomas Lumley5, David S. Siscovick5, Bruce M. Psaty5, M. CarolaZillikens12, Ben A. Oostra12, Mary F. Feitosa7, Michael A. Province7, Mariza de Andrade15, Stephen T. Turner15, Arne Schillert3, Andreas Ziegler3, Philipp S. Wild16, Renate B. Schnabel16, Sandra Wilde16, Thomas Münzel16, Tennille S. Leak26, Thomas Illig, Norman Klopp, Christa Meisinger, H.-Erich Wichmann27, Wolfgang Koenig28, Lina Zgaga29, Tatijana Zemunik30, Ivana Kolcic31, Cosetta Minelli3, Frank B. Hu18, Åsa Johansson32, Wilmar Igl32, Ghazal Zaboli32, Sarah H. Wild29, Alan F. Wright23, Harry Campbell29, David Ellinghaus33, Stefan Schreiber33, Yurii S. Aulchenko12, Janine F. Felix12, Fernando Rivadeneira12, André G. Uitterlinden12, Albert Hofman12, Medea Imboden19, Medea Imboden20, Dorothea Nitsch34, Anita Brandstätter21, Barbara Kollerits21, Lyudmyla Kedenko, Reedik Mägi35, Michael Stumvoll22, Peter Kovacs22, Mladen Boban30, Susan Campbell23, Karlhans Endlich13, Henry Völzke13, Heyo K. Kroemer13, Matthias Nauck13, Uwe Völker13, Ozren Polasek31, Veronique Vitart23, Sunita Badola36, Alex Parker36, Paul M. Ridker18, Sharon L.R. Kardia37, Stefan Blankenberg16, Yongmei Liu17, Gary C. Curhan18, Andre Franke33, Thierry Rochat38, Bernhard Paulweber, Inga Prokopenko35, Wei Wang39, Wei Wang30, Vilmundur Gudnason9, Alan R. Shuldine6, Josef Coresh1, Reinhold E. Schmidt, Luigi Ferrucci, Michael G. Shlipak40, Cornelia M. van Duijn12, Ingrid B. Borecki7, Bernhard K. Krämer41, Igor Rudan29, Ulf Gyllensten32, James F. Wilson29, Jacqueline C. M. Witteman12, Peter P. Pramstaller3, Rainer Rettig13, Nicholas D. Hastie23, Daniel I. Chasman18, Wen Hong L. Kao1, Iris M. Heid4, Caroline S. Fox18, Caroline S. Fox11 
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

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Lewis C. Cantley196748169037
Darien Wood1602174136596
Kaj Blennow1601845116237
Christopher J. O'Donnell159869126278
Tomas Hökfelt158103395979
Peter G. Schultz15689389716
Frederik Barkhof1541449104982
Deepak L. Bhatt1491973114652
Svante Pääbo14740784489
Jan-Åke Gustafsson147105898804
Hans-Olov Adami14590883473
Hermann Kolanoski145127996152
Kjell Fuxe142147989846
Jan Conrad14182671445
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
2022643
20216,079
20205,811
20195,393
20185,067