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
Human adipose tissue-derived stem cell paracrine networks v..:
Oliva-Olivera, Wilfredo
;
Castellano-Castillo, Daniel
;
von Meyenn, Ferdinand
...
Metabolism. 116 (2021) - p. 154466 , 2021
Link:
https://doi.org/10.1016/j.metabol.2020.154466
RT Journal T1
Human adipose tissue-derived stem cell paracrine networks vary according metabolic risk and after TNFα-induced death: An analysis at the single-cell level
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.metabol.2020.154466&Exemplar=1&LAN=DE A1 Oliva-Olivera, Wilfredo A1 Castellano-Castillo, Daniel A1 von Meyenn, Ferdinand A1 Cardona, Fernando A1 Lönnberg, Tapio A1 Tinahones, Francisco J. PB Elsevier BV YR 2021 SN 0026-0495 JF Metabolism VO 116 SP 154466 LK http://dx.doi.org/https://doi.org/10.1016/j.metabol.2020.154466 DO https://doi.org/10.1016/j.metabol.2020.154466 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)