Wanda Wilson
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Nonprofit Sector and Volunteering 1
-
- Antibiotic Resistance in Bacteria 2
- Co-authors
- Heather Tate (2 shared papers)Patrick F. McDermott (2 shared papers)Uday Dessai (2 shared papers)Jodie R. Plumblee (1 shared paper)Jean M. Whichard (1 shared paper)Beth E. Karp (1 shared paper)Patricia M. Griffin (1 shared paper)Eileen L. Thacker (1 shared paper)
- Journals
- Contraception (1 paper)Foodborne Pathogens and Disease (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Nursing Clinics of North America (1 paper)PubMed (4 papers)
- Partner nations
- United States
In The Last Decade
Wanda Wilson
8 papers receiving 278 citations
Peers
Comparison fields: 5 of 50
- Molecular Medicine 129
- Applied Microbiology and Biotechnology 18
- Endocrinology 50
- Food Science 161
- Pollution 55
Countries citing papers authored by Wanda Wilson
This map shows the geographic impact of Wanda Wilson'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 Wanda Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanda Wilson more than expected).
Fields of papers citing papers by Wanda Wilson
This network shows the impact of papers produced by Wanda Wilson. 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 Wanda Wilson. The network helps show where Wanda Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanda Wilson, 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 | 2017 | 140 | |
| 2 | 2017 | 120 | |
| 3 | 2012 | 5 | |
| 4 | Applying the epidemiologic problem oriented approach (EPOA) methodology in developing a knowledge base for the modeling of HIV/AIDS. | 2010 | 5 |
| 5 | Computational Modelling of Intracellular Viral Kinetics and CD4+ Cellular Population Dynamics of HIV/AIDS. | 2008 | 5 |
| 6 | Exploring Strategies to Increase and Sustain Membership in the American Association of Nurse Anesthetists. | 2016 | 4 |
| 7 | Assessing HIV/AIDS intervention strategies using an integrative macro-micro level computational epidemiologic modeling approach. | 2010 | 2 |
| 8 | 2018 | 1 |
About Wanda Wilson
Wanda Wilson is a scholar working on Sociology and Political Science, Molecular Medicine, Food Science, Infectious Diseases and Molecular Biology, having authored 8 papers that have together received 282 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Digital Mental Health Interventions (1 paper), HIV/AIDS drug development and treatment (1 paper), Nursing Education, Practice, and Leadership (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), HIV Research and Treatment (1 paper) and Nonprofit Sector and Volunteering (1 paper). The work is most often cited by research in Molecular Medicine (129 citations), Applied Microbiology and Biotechnology (18 citations), Endocrinology (50 citations), Food Science (161 citations) and Pollution (55 citations). Wanda Wilson has collaborated with scholars based in United States. Frequent co-authors include Heather Tate, Patrick F. McDermott, Uday Dessai, Jodie R. Plumblee, Jean M. Whichard, Beth E. Karp, Patricia M. Griffin, Eileen L. Thacker, Cindy R. Friedman and Jason Abbott. Their work appears in journals such as Contraception, Foodborne Pathogens and Disease, Antimicrobial Agents and Chemotherapy, Nursing Clinics of North America and PubMed.
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.