Ed Suh

478 citations
2 papers · 168 · h-index 2

Impact in

    • Cell Image Analysis Techniques
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Gene expression and cancer classification
    • Viral Infectious Diseases and Gene Expression in Insects
    • Advanced Biosensing Techniques and Applications

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1
    • Machine Learning in Bioinformatics 1
    • RNA Interference and Gene Delivery 1
    • CRISPR and Genetic Engineering 1

Ed Suh

2 papers receiving 161 citations

Peers

Ed Suh
Comparison fields: 5 of 31
  • Biophysics 20
  • Molecular Biology 151
  • Biotechnology 9
  • Cancer Research 14
  • Genetics 24
Replace Amir Alavi with:
Amir Alavi United States
Shai Lubliner Israel
Ruijie Song United States
Jin Huh United States
Johannes Linder United States
Yuefan Huang United States
Nilmani Singh United States
Andrzej K. Oleś Poland
Dayanne M. Castro United States
Ed Suh relative to Amir Alavi United States Amir Alavi's profile →
Citations per field
00.5×
Amir Alavi · 1×
Citations per year

Countries citing papers authored by Ed Suh

Since Specialization
Citations

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

Fields of papers citing papers by Ed Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ed Suh, 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 Ed Suh Line = papers co-authored together Ed Suh links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Ed Suh

Ed Suh is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 2 papers that have together received 168 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), Gene expression and cancer classification (1 paper), Bioinformatics and Genomic Networks (1 paper), Machine Learning in Bioinformatics (1 paper), RNA Interference and Gene Delivery (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Biophysics (20 citations), Molecular Biology (151 citations), Biotechnology (9 citations), Cancer Research (14 citations) and Genetics (24 citations). Ed Suh has collaborated with scholars based in United States, Brazil and Finland. Frequent co-authors include Edward R. Dougherty, Spyro Mousses, Sampsa Hautaniemi, Abdel G. Elkahloun, Olli Kallioniemi, Mark Basik, Roberto Lotufo, Natasha J. Caplen, Robert Cornelison and Ashish Choudhary. Their work appears in journals such as Genome Research and Bioinformatics.

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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