Zack Moore

3.2k citations
43 papers · 1.1k indexed · h-index 16

Zack Moore

43 papers receiving 1.1k citations

Peers

Zack Moore
Comparison fields: 5 of 106
  • Modeling and Simulation 117
  • Applied Microbiology and Biotechnology 41
  • Epidemiology 688
  • Infectious Diseases 326
  • Molecular Medicine 86
Replace Cristiano Alicino with:
Cristiano Alicino Italy
Halima Dawood South Africa
Juliet Mwanga‐Amumpaire Uganda
Sophie Vaux France
Cecilia Trucchi Italy
Cornelius Remschmidt Germany
Lukas Fenner Switzerland
Moussa Seydi Senegal
Koh Cheng Thoon Singapore
Shuja Shafi United Kingdom
Zack Moore relative to Cristiano Alicino Italy Cristiano Alicino's profile →
Citations per field
00.5×1.5×2.2×
Cristiano Alicino · 1×
Citations per year

Countries citing papers authored by Zack Moore

Since Specialization
Citations

This map shows the geographic impact of Zack Moore'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 Zack Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zack Moore more than expected).

Fields of papers citing papers by Zack Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zack Moore. 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 Zack Moore. The network helps show where Zack Moore may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Zack Moore, 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 Zack Moore Line = papers co-authored together Zack Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202311
3 20213
4 20201
5 20161
6 20144
7 2014100
8 20138
9 20128
10 201224
11 201168
12 201121
13 201130
14 201065
15 201062
16 201033
17
Intent to receive influenza A (H1N1) 2009 monovalent influenza vaccines - two counties, North Carolina.
200923
18 200924
19 2005232
20 20048

About Zack Moore

Zack Moore is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Modeling and Simulation, Endocrinology and Virology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Hepatitis B Virus Studies (5 papers), Respiratory viral infections research (5 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Travel-related health issues (3 papers), Neuroscience of respiration and sleep (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Modeling and Simulation (117 citations), Applied Microbiology and Biotechnology (41 citations), Epidemiology (688 citations), Infectious Diseases (326 citations) and Molecular Medicine (86 citations). Zack Moore has collaborated with scholars based in United States, South Africa and Puerto Rico. Frequent co-authors include Alicia M. Fry, Cynthia G. Whitney, Elizabeth R. Zell, Moe H. Kyaw, Charles E. Rose, James A. Singleton, Jane F. Seward, J. Michael Lane, Aaron T. Fleischauer and Jennifer A. Horney. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, The Journal of Infectious Diseases, Infection Control and Hospital Epidemiology 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.

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