I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Genetic predisposition to metabolically unfavourable adipos..:
Perez‐Cornago, Aurora
;
Smith‐Byrne, Karl
;
Hazelwood, Emma
...
Cancer Medicine. 12 (2023) 15 - p. 16482-16489 , 2023
Link:
https://doi.org/10.1002/cam4.6220
RT Journal T1
Genetic predisposition to metabolically unfavourable adiposity and prostate cancer risk: A Mendelian randomization analysis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_cam4.6220&Exemplar=1&LAN=DE A1 Perez‐Cornago, Aurora A1 Smith‐Byrne, Karl A1 Hazelwood, Emma A1 Watling, Cody Z. A1 Martin, Susan A1 Frayling, Timothy A1 Lewis, Sarah A1 Martin, Richard M. A1 Yaghootkar, Hanieh A1 Travis, Ruth C. A1 Key, Timothy J. PB Wiley YR 2023 SN 2045-7634 SN 2045-7634 JF Cancer Medicine VO 12 IS 15 SP 16482 OP 16489 LK http://dx.doi.org/https://doi.org/10.1002/cam4.6220 DO https://doi.org/10.1002/cam4.6220 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)