Hannah E. Maier
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Respiratory viral infections research 9
- Influenza Virus Research Studies 7
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 2
- Co-authors
- Aubree Gordon (14 shared papers)Guillermina Kuan (9 shared papers)Nery Sánchez (11 shared papers)Roger López (11 shared papers)Ángel Balmaseda (9 shared papers)Sergio Ojeda (11 shared papers)Lionel Gresh (5 shared papers)Sophia Ng (2 shared papers)
- Journals
- Clinical Infectious Diseases (5 papers)Influenza and Other Respiratory Viruses (3 papers)British Journal of Cancer (1 paper)JAMA Network Open (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)
- Partner nations
- United StatesNicaraguaAustria
In The Last Decade
Hannah E. Maier
17 papers receiving 484 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 219
- Modeling and Simulation 35
- Epidemiology 227
- Neurology 61
- Immunology 54
Countries citing papers authored by Hannah E. Maier
This map shows the geographic impact of Hannah E. Maier'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 Hannah E. Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah E. Maier more than expected).
Fields of papers citing papers by Hannah E. Maier
This network shows the impact of papers produced by Hannah E. Maier. 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 Hannah E. Maier. The network helps show where Hannah E. Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah E. Maier, 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 | 158 | |
| 2 | 2019 | 64 | |
| 3 | 2020 | 48 | |
| 4 | 2011 | 45 | |
| 5 | 1997 | 37 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2012 | 23 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 0 |
About Hannah E. Maier
Hannah E. Maier is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Modeling and Simulation and Neurology, having authored 18 papers that have together received 493 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Bacillus and Francisella bacterial research (2 papers), COVID-19 Impact on Reproduction (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (219 citations), Modeling and Simulation (35 citations), Epidemiology (227 citations), Neurology (61 citations) and Immunology (54 citations). Hannah E. Maier has collaborated with scholars based in United States, Nicaragua and Austria. Frequent co-authors include Aubree Gordon, Guillermina Kuan, Nery Sánchez, Roger López, Ángel Balmaseda, Sergio Ojeda, Lionel Gresh, Sophia Ng, Eva Harris and Raquel Burger‐Calderon. Their work appears in journals such as Clinical Infectious Diseases, Influenza and Other Respiratory Viruses, British Journal of Cancer, JAMA Network Open and Archives of Pathology & Laboratory 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.