Hannah E. Maier

873 citations
19 papers · 528 · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 4
    • Bacillus and Francisella bacterial research 2

Hannah E. Maier

18 papers receiving 512 citations

Peers

Hannah E. Maier
Comparison fields: 5 of 72
  • Infectious Diseases 186
  • Epidemiology 217
  • Modeling and Simulation 26
  • Neurology 48
  • Immunology 54
Replace David C. Gaston with:
David C. Gaston United States
Nirjhar Chatterjee India
Giulia Torriani Switzerland
Julie Garon United States
José Esteban Muñoz‐Medina Mexico
Tyler D. Bold United States
Matthew L. Boisen United States
Zhaomin Feng China
Talitha Veith Germany
Chunyan Li China
Hannah E. Maier relative to David C. Gaston United States David C. Gaston's profile →
Citations per field
00.5×
David C. Gaston · 1×
Citations per year

Countries citing papers authored by Hannah E. Maier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hannah E. Maier Line = papers co-authored together Hannah E. Maier links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2018164
2 201967
3 201153
4 202048
5 199742
6 201228
7 202227
8 202124
9 202215
10 202311
11 202011
12 20138
13 20227
14 20227
15 20246
16 20225
17 20243
18 20252
19 20250

About Hannah E. Maier

Hannah E. Maier is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Genetics and Health, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bacillus and Francisella bacterial research (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Vaccine Coverage and Hesitancy (1 paper), Zoonotic diseases and public health (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (186 citations), Epidemiology (217 citations), Modeling and Simulation (26 citations), Neurology (48 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, Sergio Ojeda, Ángel Balmaseda, Roger López, Nery Sánchez, 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, Nature Communications, Infection and Immunity 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.

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