Daniel Trageser

1.2k total citations
8 papers, 629 citations indexed

About

Daniel Trageser is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Hematology. According to data from OpenAlex, Daniel Trageser has authored 8 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Daniel Trageser's work include Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Daniel Trageser is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Daniel Trageser collaborates with scholars based in United States, Germany and Italy. Daniel Trageser's co-authors include Björn Scheffler, Martin Glas, Yingying Sang, Alfredo Quiñones‐Hinojosa, Hugo Guerrero‐Cazares, Angela Li, Charles G. Eberhart, Mingyao Ying, Yun-Qing Li and Shuli Xia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Daniel Trageser

6 papers receiving 623 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Trageser United States	6	277	201	190	141	140	8	629
J. Erika Haydu United States	8	405 1.5×	289 1.4×	123 0.6×	91 0.6×	228 1.6×	12	799
Philippe Brunet de la Grange France	14	294 1.1×	270 1.3×	135 0.7×	136 1.0×	74 0.5×	38	838
Laki Buluwela United Kingdom	11	462 1.7×	77 0.4×	107 0.6×	46 0.3×	104 0.7×	16	761
Nicola Potter United Kingdom	13	512 1.8×	162 0.8×	205 1.1×	253 1.8×	130 0.9×	37	893
Teresa D’Altri Spain	10	450 1.6×	60 0.3×	99 0.5×	121 0.9×	52 0.4×	15	659
Jenny Yeung United Kingdom	8	363 1.3×	61 0.3×	158 0.8×	41 0.3×	93 0.7×	19	589
Zhongling Cai United States	6	623 2.2×	144 0.7×	86 0.5×	117 0.8×	117 0.8×	9	966
Cathy Quelen France	14	395 1.4×	115 0.6×	110 0.6×	199 1.4×	70 0.5×	20	627
Annette Orleth Italy	10	620 2.2×	60 0.3×	196 1.0×	82 0.6×	85 0.6×	14	843
Qian‐Lin Hao United States	13	312 1.1×	169 0.8×	144 0.8×	39 0.3×	27 0.2×	17	831

Countries citing papers authored by Daniel Trageser

Since Specialization

Citations

This map shows the geographic impact of Daniel Trageser's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Trageser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Trageser more than expected).

Fields of papers citing papers by Daniel Trageser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Trageser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Trageser. The network helps show where Daniel Trageser may publish in the future.

Co-authorship network of co-authors of Daniel Trageser

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Trageser. A scholar is included among the top collaborators of Daniel Trageser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Trageser. Daniel Trageser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Swaminathan, Srividya, Lars Klemm, Eugene Park, et al.. (2015). Mechanisms of clonal evolution in childhood acute lymphoblastic leukemia. Nature Immunology. 16(7). 766–774. 126 indexed citations

Vo, Dat T., Kotb Abdelmohsen, Jennifer L. Martindale, et al.. (2012). The Oncogenic RNA-Binding Protein Musashi1 Is Regulated by HuR via mRNA Translation and Stability in Glioblastoma Cells. Molecular Cancer Research. 10(1). 143–155. 59 indexed citations

Li, Yun-Qing, Angela Li, Martin Glas, et al.. (2011). c-Met signaling induces a reprogramming network and supports the glioblastoma stem-like phenotype. Proceedings of the National Academy of Sciences. 108(24). 9951–9956. 218 indexed citations

Glas, Martin, Barbara H. Rath, Matthias Simon, et al.. (2010). Residual tumor cells are unique cellular targets in glioblastoma. Annals of Neurology. 68(2). 264–269. 102 indexed citations

Nahar, Rahul, Daniel Trageser, Lars Klemm, et al.. (2010). Pre-B Cell Receptor Signaling Distinguishes E2A-PBX1 From Other Subtypes of Acute Lymphoblastic Leukemia. Blood. 116(21). 274–274.

Trageser, Daniel, Ilaria Iacobucci, Rahul Nahar, et al.. (2009). Pre–B cell receptor–mediated cell cycle arrest in Philadelphia chromosome–positive acute lymphoblastic leukemia requires IKAROS function. The Journal of Experimental Medicine. 206(8). 1739–1753. 91 indexed citations

Nahar, Rahul, Daniel Trageser, Lars Klemm, et al.. (2008). The Pre-B Cell Receptor Suppresses Leukemogenesis by Censoring MYC Expression.. Blood. 112(11). 1918–1918.

Feldhahn, Niklas, Bin Zhang, Daniel Trageser, et al.. (2007). Nilotinib treatment in mouse models of P190 Bcr/Abl lymphoblastic leukemia. Molecular Cancer. 6(1). 67–67. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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