Lev Shaket

521 citations
4 papers · 351 · h-index 4

Impact in

    • CRISPR and Genetic Engineering
    • Gene Regulatory Network Analysis
    • Gut microbiota and health
    • Microbial Metabolic Engineering and Bioproduction
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • CRISPR and Genetic Engineering 2
    • Advanced biosensing and bioanalysis techniques 1
    • Glycosylation and Glycoproteins Research 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Gene Regulatory Network Analysis 1
    • Plant tissue culture and regeneration 1
    • Bacterial Genetics and Biotechnology 1

Lev Shaket

4 papers receiving 344 citations

Peers

Lev Shaket
Comparison fields: 5 of 60
  • Biotechnology 36
  • Molecular Biology 285
  • Genetics 112
  • Biophysics 14
  • Ecology 49
Replace Layla Siraj with:
Layla Siraj United States
Sean C. Sleight United States
Hung Nguyen United States
Finn Stirling United States
Luis Gerardo Treviño-Quintanilla Mexico
Kim de Mora United Kingdom
Sofı́a Fraile Spain
Kevin Rychel United States
Nicholas C. Butzin United States
Elaine B. Shapland United States
Lev Shaket relative to Layla Siraj United States Layla Siraj's profile →
Citations per field
00.5×1.5×
Layla Siraj · 1×
Citations per year

Countries citing papers authored by Lev Shaket

Since Specialization
Citations

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

Fields of papers citing papers by Lev Shaket

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Lev Shaket, 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 Lev Shaket Line = papers co-authored together Lev Shaket links everyone, so they are left out of the graph.

All Works

About Lev Shaket

Lev Shaket is a scholar working on Molecular Biology, Genetics, Environmental Engineering, Plant Science and Biomedical Engineering, having authored 4 papers that have together received 351 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Glycosylation and Glycoproteins Research (1 paper), Chromosomal and Genetic Variations (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Bacterial Genetics and Biotechnology (1 paper), Gene Regulatory Network Analysis (1 paper) and Plant tissue culture and regeneration (1 paper). The work is most often cited by research in Biotechnology (36 citations), Molecular Biology (285 citations), Genetics (112 citations), Biophysics (14 citations) and Ecology (49 citations). Lev Shaket has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include S. Jordan Kerns, Jonathan W. Kotula, Jeffrey C. Way, Layla Siraj, Pamela A. Silver, James J. Collins, Buz Barstow, Michael Baym, Dimphna H. Meijer and Casey A. Maguire. Their work appears in journals such as Journal of Neuro-Oncology, Nature Protocols, Nature Communications and Proceedings of the National Academy of Sciences.

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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