Daniel Trageser

1.2k citations
8 papers · 629 · h-index 6

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Daniel Trageser

6 papers receiving 623 citations

Peers

Daniel Trageser
Comparison fields: 5 of 59
  • Genetics 201
  • Hematology 124
  • Cancer Research 141
  • Oncology 190
  • Hepatology 44
Replace J. Erika Haydu with:
J. Erika Haydu United States
Laki Buluwela United Kingdom
Philippe Brunet de la Grange France
Qian‐Lin Hao United States
Annette Orleth Italy
Teresa D’Altri Spain
Jennifer L. Luongo United States
Nicola Potter United Kingdom
Sameer A. Greenall Australia
Susan V. Outram United Kingdom
Daniel Trageser relative to J. Erika Haydu United States J. Erika Haydu's profile →
Citations per field
00.5×4.4×
J. Erika Haydu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Trageser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Trageser Line = papers co-authored together Daniel Trageser links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011218
2 2015126
3 2010102
4 200991
5 201259
6 200733
7 20080
8 20100

About Daniel Trageser

Daniel Trageser is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Hematology, Immunology and Genetics, having authored 8 papers that have together received 629 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Cells and Metastasis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Lymphoma Diagnosis and Treatment (1 paper), FOXO transcription factor regulation (1 paper), RNA and protein synthesis mechanisms (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Genetics (201 citations), Hematology (124 citations), Cancer Research (141 citations), Oncology (190 citations) and Hepatology (44 citations). Daniel Trageser has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Björn Scheffler, Martin Glas, Angela Li, Shuli Xia, Bachchu Lal, Mingyao Ying, Alfredo Quiñones‐Hinojosa, Hugo Guerrero‐Cazares, Yun-Qing Li and Yingying Sang. Their work appears in journals such as Blood, Nature Immunology, The Journal of Experimental Medicine, Molecular Cancer Research and Molecular Cancer.

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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