Lambda Moses

1.6k citations
4 papers · 707 · 1 hit paper · h-index 3

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • Bioinformatics and Genomic Networks
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gene expression and cancer classification 2
    • Bioinformatics and Genomic Networks 1
    • RNA modifications and cancer 1
    • Gene Regulatory Network Analysis 1

Lambda Moses

3 papers receiving 698 citations

Lambda Moses's Hit Papers

Museum of spatial transcriptomics 2022 · 683 citations
6830+1+2Years since publication200400600

Peers

Lambda Moses
Comparison fields: 5 of 79
  • Biophysics 93
  • Molecular Biology 564
  • Cancer Research 97
  • Immunology 112
  • Neurology 30
Replace Danila Bredikhin with:
Danila Bredikhin Germany
Nik Bear Brown United States
Zoe Piran Israel
Thamar Jessurun Lobo Netherlands
Leon Hetzel Germany
Pierre Boyeau United States
Dongze He United States
Laura D. Martens Germany
Felix Drost Germany
Emma Mathilde Keizer Netherlands
Lambda Moses relative to Danila Bredikhin Germany Danila Bredikhin's profile →
Citations per field
00.5×1.5×
Danila Bredikhin · 1×
Citations per year

Countries citing papers authored by Lambda Moses

Since Specialization
Citations

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

Fields of papers citing papers by Lambda Moses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Lambda Moses, 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 Lambda Moses Line = papers co-authored together Lambda Moses links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Museum of spatial transcriptomics
Hit paper breakdown →
2022683
2 202413
3 202411
4 20260

About Lambda Moses

Lambda Moses is a scholar working on Molecular Biology, Insect Science, Renewable Energy, Sustainability and the Environment, Obstetrics and Gynecology and Anesthesiology and Pain Medicine, having authored 4 papers that have together received 707 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (1 paper), RNA modifications and cancer (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Biophysics (93 citations), Molecular Biology (564 citations), Cancer Research (97 citations), Immunology (112 citations) and Neurology (30 citations). Lambda Moses has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Lior S. Pachter, Kyung Hoi Min, Laura Luebbert, Guillaume Holley, A. Sina Booeshaghi, Kristján Eldjárn Hjörleifsson, Harold Pimentel, Delaney K. Sullivan, Páll Melsted and Johan Gustafsson. Their work appears in journals such as Nature Methods, Molecular Metabolism and Nature Protocols.

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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