Anna L. Ellermann

411 citations
8 papers · 246 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing

Papers in

    • Pluripotent Stem Cells Research 4
    • Single-cell and spatial transcriptomics 2
    • Epigenetics and DNA Methylation 1
    • Renal and related cancers 1
    • 3D Printing in Biomedical Research 3

Anna L. Ellermann

8 papers receiving 244 citations

Peers

Anna L. Ellermann
Comparison fields: 5 of 52
  • Cancer Research 47
  • Molecular Biology 168
  • Biophysics 12
  • Aging 3
  • Biomedical Engineering 59
Replace Dmitry Torchinsky with:
Dmitry Torchinsky Israel
Menghan Du China
Laura V. Croft Australia
Linda Kvastad Sweden
Daniel J. Laverty United States
Sherif Suleiman Malta
Kazuaki Tokunaga Japan
Pelin Sahlén Sweden
Yingjie Luo China
Anna L. Ellermann relative to Dmitry Torchinsky Israel Dmitry Torchinsky's profile →
Citations per field
00.5×4.0×
Dmitry Torchinsky · 1×
Citations per year

Countries citing papers authored by Anna L. Ellermann

Since Specialization
Citations

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

Fields of papers citing papers by Anna L. Ellermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna L. Ellermann. 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 Anna L. Ellermann. The network helps show where Anna L. Ellermann may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2022140
2 202336
3 202124
4 201915
5 202213
6 20238
7 20247
8 20213

About Anna L. Ellermann

Anna L. Ellermann is a scholar working on Molecular Biology, Biomedical Engineering, Health, Toxicology and Mutagenesis, Plant Science and Cancer Research, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (3 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Single-cell and spatial transcriptomics (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Epigenetics and DNA Methylation (1 paper), Nanoparticles: synthesis and applications (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cancer Research (47 citations), Molecular Biology (168 citations), Biophysics (12 citations), Aging (3 citations) and Biomedical Engineering (59 citations). Anna L. Ellermann has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Timo N. Kohler, Florian Hollfelder, Joachim De Jonghe, Tomasz S. Kamiński, Guillermo E. Parada, Ayaka Yanagida, Fredrik Salmén, Jennifer Nichols, Anna Alemany and Martin Hemberg. Their work appears in journals such as Nature Communications, Nature Biotechnology, Development, Nanotoxicology and Stem Cell Reports.

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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