Ryan E. Schaub
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
Papers in
- Microbiology 11
- Bacterial Infections and Vaccines 10
- Reproductive tract infections research 4
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- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 3
- Genomics and Phylogenetic Studies 2
- Co-authors
- Joseph P. Dillard (15 shared papers)Christopher S. Hayes (3 shared papers)Fernando Garza‐Sánchez (2 shared papers)Brian D. Janssen (1 shared paper)Kathleen T. Hackett (7 shared papers)Stephanie A. Ragland (1 shared paper)Alison K. Criss (1 shared paper)Stephen J. Poole (1 shared paper)
- Journals
- Molecular Microbiology (4 papers)Infection and Immunity (3 papers)Frontiers in Microbiology (2 papers)Journal of Bacteriology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Ryan E. Schaub
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 58
- Microbiology 84
- Endocrinology 29
- Molecular Medicine 27
- Genetics 116
- Molecular Biology 182
Countries citing papers authored by Ryan E. Schaub
This map shows the geographic impact of Ryan E. Schaub'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 Ryan E. Schaub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Schaub more than expected).
Fields of papers citing papers by Ryan E. Schaub
This network shows the impact of papers produced by Ryan E. Schaub. 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 Ryan E. Schaub. The network helps show where Ryan E. Schaub may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan E. Schaub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 70 | |
| 2 | 2016 | 49 | |
| 3 | 2012 | 36 | |
| 4 | 2016 | 31 | |
| 5 | 2017 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 0 |
About Ryan E. Schaub
Ryan E. Schaub is a scholar working on Microbiology, Molecular Biology, Genetics, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 313 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (10 papers), Bacterial Genetics and Biotechnology (7 papers), Amoebic Infections and Treatments (5 papers), Reproductive tract infections research (4 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (3 papers), Genomics and Phylogenetic Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Microbiology (84 citations), Endocrinology (29 citations), Molecular Medicine (27 citations), Genetics (116 citations) and Molecular Biology (182 citations). Ryan E. Schaub has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joseph P. Dillard, Christopher S. Hayes, Fernando Garza‐Sánchez, Brian D. Janssen, Kathleen T. Hackett, Stephanie A. Ragland, Alison K. Criss, Stephen J. Poole, Shahriar Mobashery and Jonathan D. Lenz. Their work appears in journals such as Molecular Microbiology, Infection and Immunity, Frontiers in Microbiology, Journal of Bacteriology and Nature Communications.
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.