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
Rapid, quantitative prediction of tumor invasiveness in non..:
Kortam, Sally
;
Merkher, Yulia
;
Kramer, Aviv
...
Biomechanics and Modeling in Mechanobiology. 20 (2021) 5 - p. 1767-1774 , 2021
Link:
https://doi.org/10.1007/s10237-021-01475-z
RT Journal T1 <Title>Rapid, quantitative prediction of tumor invasiveness in non-melanoma skin cancers using mechanobiology-based assay</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s10237-021-01475-z&Exemplar=1&LAN=DE A1 Kortam, Sally A1 Merkher, Yulia A1 Kramer, Aviv A1 Metanes, Issa A1 Ad-El, Dean A1 Krausz, Judit A1 Har-Shai, Yaron A1 Weihs, Daphne PB Springer Science and Business Media LLC YR 2021 SN 1617-7959 SN 1617-7940 JF Biomechanics and Modeling in Mechanobiology VO 20 IS 5 SP 1767 OP 1774 LK http://dx.doi.org/https://doi.org/10.1007/s10237-021-01475-z DO https://doi.org/10.1007/s10237-021-01475-z SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
