Ellen Gelfand

15.8k citations
3 papers · 1.2k · 2 hit papers · h-index 3

Impact in

    • Cancer Genomics and Diagnostics
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Single-cell and spatial transcriptomics 1
    • Bioinformatics and Genomic Networks 1
    • CRISPR and Genetic Engineering 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Gene expression and cancer classification 1
    • RNA modifications and cancer 1

Ellen Gelfand

3 papers receiving 1.2k citations

Ellen Gelfand's Hit Papers

Quantitative Proteomics of the Cancer Cell Line Encyclopedia 2020 · 574 citations
5740+3+6Years since publication200400600

Peers

Ellen Gelfand
Comparison fields: 5 of 112
  • Cancer Research 273
  • Neurology 123
  • Molecular Biology 936
  • Developmental Neuroscience 42
  • Biophysics 54
Replace Amy Tang with:
Amy Tang United States
José Fernández Navarro Sweden
Isabel Correas Spain
Xiaoying Fan China
Kenta Masui Japan
Frank Schnütgen Germany
Mikel Garcia‐Marcos United States
Katherine L. Eales United Kingdom
Matti Myllykoski Finland
Thomas Viel France
Ellen Gelfand relative to Amy Tang United States Amy Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ellen Gelfand

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Gelfand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Ellen Gelfand

Ellen Gelfand is a scholar working on Molecular Biology, Genetics, Spectroscopy, Cancer Research and Infectious Diseases, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (1 paper), Bioinformatics and Genomic Networks (1 paper), Cancer-related molecular mechanisms research (1 paper), CRISPR and Genetic Engineering (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Gene expression and cancer classification (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (273 citations), Neurology (123 citations), Molecular Biology (936 citations), Developmental Neuroscience (42 citations) and Biophysics (54 citations). Ellen Gelfand has collaborated with scholars based in United States. Frequent co-authors include François Aguet, Sourav Choudhury, Feng Zhang, Orit Rozenblatt–Rosen, Tyler Burks, Naomi Habib, Inbal Avraham‐Davidi, Matan Hofree, Aviv Regev and David A. Weitz. Their work appears in journals such as Nature Methods, Cold Spring Harbor Symposia on Quantitative Biology and Cell.

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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