Maayan Pour

1.1k citations
8 papers · 417 · 1 hit paper · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

    • Pluripotent Stem Cells Research 3
    • Single-cell and spatial transcriptomics 2
    • Cancer Cells and Metastasis 3

Maayan Pour

8 papers receiving 414 citations

Maayan Pour's Hit Papers

Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment 2022 · 259 citations
2590+1+2Years since publication50100150200250

Peers

Maayan Pour
Comparison fields: 5 of 68
  • Cancer Research 83
  • Molecular Biology 258
  • Oncology 93
  • Aging 6
  • Immunology 59
Replace Emily J. Girard with:
Emily J. Girard United States
Mia Bjerke Sweden
Kelly Mitchell United States
Nicola de Prisco United States
Marie Allen United States
Pin‐Ji Lei United States
Vaidehi Mahadev United States
Bianca J. Diaz United States
Joris Pauty Japan
Ian Williamson United States
Maayan Pour relative to Emily J. Girard United States Emily J. Girard's profile →
Citations per field
00.5×3.4×
Emily J. Girard · 1×
Citations per year

Countries citing papers authored by Maayan Pour

Since Specialization
Citations

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

Fields of papers citing papers by Maayan Pour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment
Hit paper breakdown →
2022259
2 202438
3 201927
4 201623
5 201922
6 202117
7 201516
8 202115

About Maayan Pour

Maayan Pour is a scholar working on Molecular Biology, Oncology, Genetics, Biomedical Engineering and Materials Chemistry, having authored 8 papers that have together received 417 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Cancer Cells and Metastasis (3 papers), Single-cell and spatial transcriptomics (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), 2D Materials and Applications (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Nanomaterials in Catalysis (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cancer Research (83 citations), Molecular Biology (258 citations), Oncology (93 citations), Aging (6 citations) and Immunology (59 citations). Maayan Pour has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Itai Yanai, Dalia Barkley, Anjali Rao, Gustavo S. França, Bo Xia, Maayan Baron, Deborah F. DeLair, Cristina Hajdu, Amanda W. Lund and Iftach Nachman. Their work appears in journals such as Development, Nature Genetics, Nature, Beilstein Journal of Nanotechnology and Genome Research.

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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