Amanda Wahnich
Impact in
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- COVID-19 Clinical Research Studies
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 10%
Papers in
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- HIV/AIDS Research and Interventions 6
- COVID-19 Clinical Research Studies 2
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- HIV, Drug Use, Sexual Risk 6
- Data-Driven Disease Surveillance 3
- Co-authors
- Daniel H. Geschwind (3 shared papers)Brent L. Fogel (3 shared papers)Fuying Gao (2 shared papers)Geneviève Konopka (2 shared papers)Neelroop Parikshak (1 shared paper)Tara Friedrich (1 shared paper)Demetre Daskalakis (4 shared papers)Vijayendran Chandran (1 shared paper)
- Journals
- Human Molecular Genetics (2 papers)American Journal of Preventive Medicine (2 papers)Sexually Transmitted Diseases (2 papers)Clinical Infectious Diseases (1 paper)Movement Disorders (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Amanda Wahnich
15 papers receiving 359 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 105
- Modeling and Simulation 21
- Cellular and Molecular Neuroscience 53
- Genetics 74
- Molecular Biology 157
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 | 145 | |
| 2 | 2020 | 61 | |
| 3 | 2014 | 40 | |
| 4 | 2017 | 27 | |
| 5 | 2012 | 21 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 14 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2017 | 2 |
About Amanda Wahnich
Amanda Wahnich is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Modeling and Simulation and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 369 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), HIV, Drug Use, Sexual Risk (6 papers), COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (3 papers), HIV Research and Treatment (2 papers), COVID-19 Clinical Research Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Infectious Diseases (105 citations), Modeling and Simulation (21 citations), Cellular and Molecular Neuroscience (53 citations), Genetics (74 citations) and Molecular Biology (157 citations). Amanda Wahnich has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Daniel H. Geschwind, Brent L. Fogel, Fuying Gao, Geneviève Konopka, Neelroop Parikshak, Tara Friedrich, Demetre Daskalakis, Vijayendran Chandran, Eric Wexler and Sarah Braunstein. Their work appears in journals such as Human Molecular Genetics, American Journal of Preventive Medicine, Sexually Transmitted Diseases, Clinical Infectious Diseases and Movement Disorders.
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.