Nychie Q. Dotson
Impact in
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- Antibiotic Use and Resistance
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Antimicrobial Resistance in Staphylococcus
Papers in
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- Antibiotic Resistance in Bacteria 3
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- Antibiotic Use and Resistance 2
- Co-authors
- Maroya Spalding Walters (3 shared papers)Alicia Shugart (1 shared paper)Kaitlin Forsberg (1 shared paper)Meghan Lyman (1 shared paper)Erica Anderson (1 shared paper)David T. Kuhar (1 shared paper)Marie A. de Perio (1 shared paper)Maria Rivera (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (3 papers)Infection Control and Hospital Epidemiology (1 paper)The Lancet Infectious Diseases (1 paper)Emerging infectious diseases (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United States
In The Last Decade
Nychie Q. Dotson
7 papers receiving 463 citations
Peers
Comparison fields: 5 of 61
- Applied Microbiology and Biotechnology 54
- Infectious Diseases 366
- Molecular Medicine 50
- Epidemiology 253
- Endocrinology 14
Countries citing papers authored by Nychie Q. Dotson
This map shows the geographic impact of Nychie Q. Dotson'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 Nychie Q. Dotson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nychie Q. Dotson more than expected).
Fields of papers citing papers by Nychie Q. Dotson
This network shows the impact of papers produced by Nychie Q. Dotson. 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 Nychie Q. Dotson. The network helps show where Nychie Q. Dotson may publish in the future.
Co-authors
The 25 scholars most cited alongside Nychie Q. Dotson, 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 | 2018 | 242 | |
| 2 | 2021 | 179 | |
| 3 | 2021 | 18 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2021 | 8 |
About Nychie Q. Dotson
Nychie Q. Dotson is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Clinical Biochemistry, Infectious Diseases and Endocrinology, having authored 7 papers that have together received 482 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Antibiotic Use and Resistance (2 papers), Biomedical Ethics and Regulation (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Antifungal resistance and susceptibility (2 papers), Vibrio bacteria research studies (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (54 citations), Infectious Diseases (366 citations), Molecular Medicine (50 citations), Epidemiology (253 citations) and Endocrinology (14 citations). Nychie Q. Dotson has collaborated with scholars based in United States. Frequent co-authors include Maroya Spalding Walters, Alicia Shugart, Kaitlin Forsberg, Meghan Lyman, Erica Anderson, David T. Kuhar, Marie A. de Perio, Maria Rivera, Danielle A. Rankin and Paige Gable. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Infection Control and Hospital Epidemiology, The Lancet Infectious Diseases, Emerging infectious diseases and JAMA Network Open.
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.