Home > Publications database > Nintedanib targets KIT D816V neoplastic cells derived from induced pluripotent stem cells of systemic mastocytosis > print

001     917509
005     20240625095109.0
024 7 _ |a 10.1182/blood.2019004509
|2 doi
024 7 _ |a 0006-4971
|2 ISSN
024 7 _ |a 1528-0020
|2 ISSN
024 7 _ |a 2128/33618
|2 Handle
024 7 _ |a 33512435
|2 pmid
024 7 _ |a WOS:000646132800015
|2 WOS
037 _ _ |a FZJ-2023-00722
082 _ _ |a 610
100 1 _ |a Toledo, Marcelo A. S.
|0 0000-0003-4318-7381
|b 0
245 _ _ |a Nintedanib targets KIT D816V neoplastic cells derived from induced pluripotent stem cells of systemic mastocytosis
260 _ _ |a Washington, DC
|c 2021
|b American Society of Hematology
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1673877737_9571
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
536 _ _ |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524)
|0 G:(DE-HGF)POF4-5241
|c POF4-524
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Gatz, Malrun
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Sontag, Stephanie
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Gleixner, Karoline V.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Eisenwort, Gregor
|0 0000-0003-2735-4645
|b 4
700 1 _ |a Feldberg, Kristina
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Hamouda, Ahmed E. I.
|0 0000-0001-6532-9585
|b 6
700 1 _ |a Kluge, Frederick
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Guareschi, Riccardo
|0 P:(DE-Juel1)172064
|b 8
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 9
|e Corresponding author
700 1 _ |a Sechi, Antonio S.
|0 0000-0002-1374-1794
|b 10
700 1 _ |a Dufva, Olli M. J.
|0 0000-0002-8084-0282
|b 11
700 1 _ |a Mustjoki, Satu M.
|0 0000-0002-0816-8241
|b 12
700 1 _ |a Maurer, Angela
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Schüler, Herdit M.
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Goetzke, Roman
|0 0000-0002-1845-1083
|b 15
700 1 _ |a Braunschweig, Till
|0 0000-0001-9166-2912
|b 16
700 1 _ |a Kaiser, Anne
|0 P:(DE-HGF)0
|b 17
700 1 _ |a Panse, Jens
|0 P:(DE-HGF)0
|b 18
700 1 _ |a Jawhar, Mohamad
|0 P:(DE-HGF)0
|b 19
700 1 _ |a Reiter, Andreas
|0 P:(DE-HGF)0
|b 20
700 1 _ |a Hilberg, Frank
|0 P:(DE-HGF)0
|b 21
700 1 _ |a Ettmayer, Peter
|0 0000-0002-8422-2625
|b 22
700 1 _ |a Wagner, Wolfgang
|0 0000-0002-1971-3217
|b 23
700 1 _ |a Koschmieder, Steffen
|0 0000-0002-1011-8171
|b 24
700 1 _ |a Brümmendorf, Tim H.
|0 0000-0002-9677-3723
|b 25
700 1 _ |a Valent, Peter
|0 0000-0003-0456-5095
|b 26
700 1 _ |a Chatain, Nicolas
|0 0000-0003-4485-3120
|b 27
700 1 _ |a Zenke, Martin
|0 0000-0002-1107-3251
|b 28
773 _ _ |a 10.1182/blood.2019004509
|g Vol. 137, no. 15, p. 2070 - 2084
|0 PERI:(DE-600)1468538-3
|n 15
|p 2070 - 2084
|t Blood
|v 137
|y 2021
|x 0006-4971
856 4 _ |u https://juser.fz-juelich.de/record/917509/files/2020.05.06.080150v1.full.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:917509
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)172064
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)145921
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-524
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Molecular and Cellular Information Processing
|9 G:(DE-HGF)POF4-5241
|x 1
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-25
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BLOOD : 2021
|d 2022-11-25
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-25
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-25
915 _ _ |a IF >= 25
|0 StatID:(DE-HGF)9925
|2 StatID
|b BLOOD : 2021
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-25
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 0
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 1
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 2
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a I:(DE-Juel1)JSC-20090406

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21