John Garbe

2.3k citations
24 papers · 1.4k indexed · 2 hit papers · h-index 13

Impact in

  • Genetics top 5%
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research
    • CRISPR and Genetic Engineering
    • Gut microbiota and health
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • RNA regulation and disease

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic and phenotypic traits in livestock 4
    • Virus-based gene therapy research 3
    • Animal Genetics and Reproduction 3
    • CRISPR and Genetic Engineering 8
    • Genomics and Phylogenetic Studies 3
    • Single-cell and spatial transcriptomics 2
    • Advanced biosensing and bioanalysis techniques 2

John Garbe

24 papers receiving 1.4k citations

Hit Papers

EditR: A Method to Quantify Base Editing from Sanger Sequencing 2018 · 314 citations
3142016202620192022100200300400500

Peers

John Garbe
Comparison fields: 5 of 125
  • Genetics 443
  • Molecular Biology 953
  • Aging 18
  • Business and International Management 18
  • Ecology 200
Replace Marcela Salazar with:
Marcela Salazar United States
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John Garbe relative to Marcela Salazar United States Marcela Salazar's profile →
Citations per field
00.5×
Marcela Salazar · 1×
Citations per year

Countries citing papers authored by John Garbe

Since Specialization
Citations

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

Fields of papers citing papers by John Garbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Systematic improvement of amplicon marker gene methods for increased accuracy in microbiome studies
Hit paper breakdown →
2016559
2
EditR: A Method to Quantify Base Editing from Sanger Sequencing
Hit paper breakdown →
2018314
3 2013205
4 200887
5 202057
6 201133
7 200326
8 201824
9 201024
10 201922
11 202118
12 201613
13 201612
14 20109
15 20218
16 20078
17
A software tool for the graphical visualization of large and complex populations.
20038
18 20107
19 20243
20 20023

About John Garbe

John Garbe is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Ecology and Agronomy and Crop Science, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers), Genomics and Phylogenetic Studies (3 papers), Virus-based gene therapy research (3 papers), Animal Genetics and Reproduction (3 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Genetics (443 citations), Molecular Biology (953 citations), Aging (18 citations), Business and International Management (18 citations) and Ecology (200 citations). John Garbe has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kenneth B. Beckman, Daryl M. Gohl, Aaron Becker, Trevor J. Gould, Jonathan B. Clayton, Dan Knights, Pajau Vangay, Timothy J. Johnson, Ryan C. Hunter and Juan E. Abrahante. Their work appears in journals such as Transgenic Research, Journal of Animal Science, Cancer Research, The CRISPR Journal and Disease Models & Mechanisms.

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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