Guy Aidelberg

619 citations
8 papers · 366 · h-index 5

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Gene Regulatory Network Analysis
    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics

Papers in

    • Gene Regulatory Network Analysis 3
    • Advanced Biosensing Techniques and Applications 2
    • Advanced biosensing and bioanalysis techniques 1
    • Single-cell and spatial transcriptomics 1
    • Biosensors and Analytical Detection 2

Guy Aidelberg

7 papers receiving 365 citations

Peers

Guy Aidelberg
Comparison fields: 5 of 67
  • Molecular Biology 273
  • Genetics 99
  • Biophysics 20
  • Biomedical Engineering 92
  • Biotechnology 16
Replace Bettina Keller with:
Bettina Keller Switzerland
Sukanya Iyer United States
Matej Ušaj Canada
Taylor H. Nguyen United States
David L. Shis United States
Szilvia Kiriakov United States
Danny Zeevi Israel
Peter E. Feist United States
Li Kung United States
Gemma Perez-Samper Belgium
Guy Aidelberg relative to Bettina Keller Switzerland Bettina Keller's profile →
Citations per field
00.5×1.5×1.9×
Bettina Keller · 1×
Citations per year

Countries citing papers authored by Guy Aidelberg

Since Specialization
Citations

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

Fields of papers citing papers by Guy Aidelberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013156
2 2014108
3 201266
4 202119
5 201415
6 20211
7 20121
8 20250

About Guy Aidelberg

Guy Aidelberg is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Infectious Diseases and Information Systems and Management, having authored 8 papers that have together received 366 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Gene Regulatory Network Analysis (3 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Evolution and Genetic Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Molecular Biology (273 citations), Genetics (99 citations), Biophysics (20 citations), Biomedical Engineering (92 citations) and Biotechnology (16 citations). Guy Aidelberg has collaborated with scholars based in Israel, France and Chile. Frequent co-authors include Anat Bren, Uri Alon, E. Dekel, Daphna Rothschild, Benjamin D. Towbin, Eran Segal, Danny Zeevi, Ron Milo, Maya Lotan‐Pompan and Leeat Keren. Their work appears in journals such as PLoS Biology, Lab on a Chip, PLoS Computational Biology, BMC Systems Biology and Journal of Visualized Experiments.

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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