Michelle R. Scribner

481 citations
11 papers · 262 · h-index 7

Impact in

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 2
    • Bacterial biofilms and quorum sensing 2
    • Genomics and Phylogenetic Studies 2
    • Bacterial Genetics and Biotechnology 3
    • Evolution and Genetic Dynamics 3

Michelle R. Scribner

10 papers receiving 257 citations

Peers

Michelle R. Scribner
Comparison fields: 5 of 67
  • Molecular Medicine 89
  • Endocrinology 33
  • Genetics 99
  • Microbiology 15
  • Molecular Biology 133
Replace S. M. Hossein Khademi with:
S. M. Hossein Khademi Denmark
Andrew M. Lippa United States
Katarzyna Węgrzyn Poland
Anke Neidig Germany
Silvia J. Cañas-Duarte United States
Vidya C. Darbari United Kingdom
Erin S. Honsa United States
Md. Kausar Alam Canada
Jozefien De Geyter Belgium
Katarzyna Mickiewicz United Kingdom
Michelle R. Scribner relative to S. M. Hossein Khademi Denmark S. M. Hossein Khademi's profile →
Citations per field
00.5×
S. M. Hossein Khademi · 1×
Citations per year

Countries citing papers authored by Michelle R. Scribner

Since Specialization
Citations

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

Fields of papers citing papers by Michelle R. Scribner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle R. Scribner. 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 Michelle R. Scribner. The network helps show where Michelle R. Scribner may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019120
2 202060
3 201734
4 202313
5 20219
6 20239
7 20227
8 20235
9 20233
10 20232
11 20250

About Michelle R. Scribner

Michelle R. Scribner is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Infectious Diseases and Ecology, having authored 11 papers that have together received 262 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (3 papers), Evolution and Genetic Dynamics (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Bacterial biofilms and quorum sensing (2 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Molecular Medicine (89 citations), Endocrinology (33 citations), Genetics (99 citations), Microbiology (15 citations) and Molecular Biology (133 citations). Michelle R. Scribner has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Vaughn S. Cooper, C. W. Marshall, Alfonso Santos-López, Daniel J. Snyder, Christopher Deitrick, N. Luisa Hiller, Klaus M. Hahn, Heather J. Spence, William Clark and Frieda Kage. Their work appears in journals such as Current Biology, mBio, Frontiers in Public Health, Microbial Genomics and Journal of Bacteriology.

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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