Laura Spahn

783 citations
7 papers · 562 · h-index 7

Impact in

    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Cancer-related molecular mechanisms research

Papers in

Laura Spahn

7 papers receiving 556 citations

Peers

Laura Spahn
Comparison fields: 5 of 50
  • Molecular Biology 497
  • Cancer Research 104
  • Genetics 130
  • Pulmonary and Respiratory Medicine 118
  • Oncology 56
Replace Miguel Vizoso with:
Miguel Vizoso Spain
Tian V. Tian Spain
Eva M. Riising Denmark
Eric Conway Ireland
Céline Courtay-Cahen United Kingdom
Keika Zen Japan
Wenbing Xie China
Ludmila Fedorova Sweden
Eija‐Riitta Hyytinen United States
Р Ф Гарькавцева Russia
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Citations per field
00.5×1.5×2.5×
Miguel Vizoso · 1×
Citations per year

Countries citing papers authored by Laura Spahn

Since Specialization
Citations

This map shows the geographic impact of Laura Spahn'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 Laura Spahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Spahn more than expected).

Fields of papers citing papers by Laura Spahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Spahn. 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 Laura Spahn. The network helps show where Laura Spahn may publish in the future.

Co-authors

The 25 scholars most cited alongside Laura Spahn, 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 Laura Spahn Line = papers co-authored together Laura Spahn links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2006315
2 200566
3 200456
4
Interaction of the EWS NH2 terminus with BARD1 links the Ewing's sarcoma gene to a common tumor suppressor pathway.
200244
5 200343
6
The EWS protein is dispensable for Ewing tumor growth.
200122
7 200616

About Laura Spahn

Laura Spahn is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 562 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA Research and Splicing (2 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (2 papers), Protein Degradation and Inhibitors (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (497 citations), Cancer Research (104 citations), Genetics (130 citations), Pulmonary and Respiratory Medicine (118 citations) and Oncology (56 citations). Laura Spahn has collaborated with scholars based in Austria, Germany and Taiwan. Frequent co-authors include Stefan Schoeftner, Karl Mechtler, Aditya K. Sengupta, Stefan Kubicek, Anton Wutz, Haruhiko Koseki, Thomas Jenuwein, Heinrich Kovar, Christine Siligan and Dave N.T. Aryee. Their work appears in journals such as Oncogene, The EMBO Journal, Cytogenetic and Genome Research, Cancer Research and PubMed.

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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