Daniel Trageser

1.2k citations
8 papers · 661 · 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 650 citations

Peers

Daniel Trageser
Comparison fields: 5 of 57
  • Genetics 189
  • Hematology 122
  • Cancer Research 130
  • Oncology 181
  • Public Health, Environmental and Occupational Health 148
Replace J. Erika Haydu with:
J. Erika Haydu United States
Holger Kohlhammer Germany
Philippe Brunet de la Grange France
Annette Orleth Italy
Takehide Akiyama Japan
Jenny Yeung United Kingdom
Nicola Potter United Kingdom
Zhongling Cai United States
Shabnam Kharazi Sweden
Cathy Quelen France
Daniel Trageser relative to J. Erika Haydu United States J. Erika Haydu's profile →
Citations per field
00.5×1.5×
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 2011226
2 2015139
3 2010108
4 200995
5 201259
6 200734
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 Oncology, having authored 8 papers that have together received 661 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer Cells and Metastasis (2 papers), DNA Repair Mechanisms (1 paper), FOXO transcription factor regulation (1 paper), Mathematical Biology Tumor Growth (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (189 citations), Hematology (122 citations), Cancer Research (130 citations), Oncology (181 citations) and Public Health, Environmental and Occupational Health (148 citations). Daniel Trageser has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Björn Scheffler, Martin Glas, Bachchu Lal, Yun-Qing Li, Charles G. Eberhart, Markus Müschen, Shuli Xia, Hugo Guerrero‐Cazares, John Laterra and Alfredo Quiñones‐Hinojosa. Their work appears in journals such as Blood, Molecular Cancer, Proceedings of the National Academy of Sciences, Nature Immunology and Annals of Neurology.

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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