Kathy Stephens
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Antimicrobial Resistance in Staphylococcus
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- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Antimicrobial Resistance in Staphylococcus 1
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- Advanced biosensing and bioanalysis techniques 1
- FOXO transcription factor regulation 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Evan J. Anderson (8 shared papers)Christian Otis (1 shared paper)Barry Stoddard (1 shared paper)Monique Turmel (1 shared paper)B. Chevalier (1 shared paper)Raymond J. Monnat (1 shared paper)Claude Lemieux (1 shared paper)Django Sussman (1 shared paper)
- Journals
- iScience (1 paper)Vaccine (1 paper)Frontiers in Immunology (1 paper)Biochemistry (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Kathy Stephens
9 papers receiving 199 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 87
- Molecular Biology 110
- Modeling and Simulation 7
- Health 8
- Toxicology 3
Countries citing papers authored by Kathy Stephens
This map shows the geographic impact of Kathy Stephens'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 Kathy Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Stephens more than expected).
Fields of papers citing papers by Kathy Stephens
This network shows the impact of papers produced by Kathy Stephens. 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 Kathy Stephens. The network helps show where Kathy Stephens may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathy Stephens, 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 | Multiplex gene expression analysis for high-throughput drug discovery: screening and analysis of compounds affecting genes overexpressed in cancer cells. | 2002 | 53 |
| 2 | 2004 | 49 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2023 | 11 | |
| 7 | 2016 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 |
About Kathy Stephens
Kathy Stephens is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 10 papers that have together received 209 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), FOXO transcription factor regulation (1 paper), RNA and protein synthesis mechanisms (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (87 citations), Molecular Biology (110 citations), Modeling and Simulation (7 citations), Health (8 citations) and Toxicology (3 citations). Kathy Stephens has collaborated with scholars based in United States. Frequent co-authors include Evan J. Anderson, Christian Otis, Barry Stoddard, Monique Turmel, B. Chevalier, Raymond J. Monnat, Claude Lemieux, Django Sussman, Laila Hussaini and Theda Gibson. Their work appears in journals such as iScience, Vaccine, Frontiers in Immunology, Biochemistry and Cell Reports Medicine.
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.