Amanda Wahnich
Impact in
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- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
Papers in
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- HIV/AIDS Research and Interventions 5
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- Data-Driven Disease Surveillance 3
- HIV, Drug Use, Sexual Risk 3
- Co-authors
- Brent L. Fogel (3 shared papers)Daniel H. Geschwind (3 shared papers)Fuying Gao (2 shared papers)Geneviève Konopka (2 shared papers)Tara Friedrich (1 shared paper)Vijayendran Chandran (1 shared paper)Eric Wexler (1 shared paper)Neelroop Parikshak (1 shared paper)
- Journals
- American Journal of Preventive Medicine (2 papers)Human Molecular Genetics (2 papers)Sexually Transmitted Diseases (2 papers)Emerging infectious diseases (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Amanda Wahnich
15 papers receiving 368 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 87
- Modeling and Simulation 17
- Cellular and Molecular Neuroscience 50
- Genetics 65
- Molecular Biology 142
Countries citing papers authored by Amanda Wahnich
This map shows the geographic impact of Amanda Wahnich'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 Amanda Wahnich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Wahnich more than expected).
Fields of papers citing papers by Amanda Wahnich
This network shows the impact of papers produced by Amanda Wahnich. 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 Amanda Wahnich. The network helps show where Amanda Wahnich may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Wahnich, 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 | 2012 | 150 | |
| 2 | 2020 | 63 | |
| 3 | 2014 | 40 | |
| 4 | 2017 | 28 | |
| 5 | 2012 | 21 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2017 | 2 | |
| 16 | 2022 | 0 |
About Amanda Wahnich
Amanda Wahnich is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Molecular Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), Data-Driven Disease Surveillance (3 papers), COVID-19 epidemiological studies (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Mosquito-borne diseases and control (2 papers), Genetic Neurodegenerative Diseases (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Infectious Diseases (87 citations), Modeling and Simulation (17 citations), Cellular and Molecular Neuroscience (50 citations), Genetics (65 citations) and Molecular Biology (142 citations). Amanda Wahnich has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Brent L. Fogel, Daniel H. Geschwind, Fuying Gao, Geneviève Konopka, Tara Friedrich, Vijayendran Chandran, Eric Wexler, Neelroop Parikshak, Demetre Daskalakis and Oni J. Blackstock. Their work appears in journals such as American Journal of Preventive Medicine, Human Molecular Genetics, Sexually Transmitted Diseases, Emerging infectious diseases and Clinical Infectious Diseases.
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.