Anna C. Schaar

2.8k citations
6 papers · 533 · 1 hit paper · h-index 3

Impact in

  • Biophysics top 2%
    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis
    • Molecular Biology Techniques and Applications

Papers in

    • Single-cell and spatial transcriptomics 6
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 2
    • Gene Regulatory Network Analysis 1
    • Cell Image Analysis Techniques 1

Anna C. Schaar

5 papers receiving 527 citations

Anna C. Schaar's Hit Papers

Squidpy: a scalable framework for spatial omics analysis 2022 · 417 citations
4170+1+2Years since publication100200300400

Peers

Anna C. Schaar
Comparison fields: 5 of 72
  • Biophysics 113
  • Molecular Biology 456
  • Immunology 128
  • Cancer Research 62
  • Neurology 20
Replace Louis B. Kuemmerle with:
Louis B. Kuemmerle Germany
Olle Holmberg Germany
Lambda Moses United States
Mingyu Yang China
Matthew R. Stone United States
Veronika R. Kedlian United Kingdom
Artem Lomakin Germany
Helena L. Crowell Switzerland
Daniel Strobl Germany
Anna C. Schaar relative to Louis B. Kuemmerle Germany Louis B. Kuemmerle's profile →
Citations per field
00.5×1.5×
Louis B. Kuemmerle · 1×
Citations per year

Countries citing papers authored by Anna C. Schaar

Since Specialization
Citations

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

Fields of papers citing papers by Anna C. Schaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Squidpy: a scalable framework for spatial omics analysis
Hit paper breakdown →
2022417
2 202297
3 202416
4 20252
5 20241
6 20250

About Anna C. Schaar

Anna C. Schaar is a scholar working on Molecular Biology, Biophysics, Immunology, Biomedical Engineering and Infectious Diseases, having authored 6 papers that have together received 533 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (1 paper), Immune cells in cancer (1 paper), Gene Regulatory Network Analysis (1 paper) and Molecular Communication and Nanonetworks (1 paper). The work is most often cited by research in Biophysics (113 citations), Molecular Biology (456 citations), Immunology (128 citations), Cancer Research (62 citations) and Neurology (20 citations). Anna C. Schaar has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Fabian J. Theis, David S. Fischer, Ignacio L. Ibarra, Michal Klein, Louis B. Kuemmerle, Sergei Rybakov, Olle Holmberg, Hannah Spitzer, Giovanni Palla and Mohammad Lotfollahi. Their work appears in journals such as Nature Methods, Bioinformatics and Nature Biotechnology.

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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