Molly Steele

2.4k citations
19 papers · 926 · 1 hit paper · h-index 11

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

Molly Steele

19 papers receiving 900 citations

Hit Papers

SARS-CoV-2 Transmission From People Without COVID-19 Symptoms 2021 · 604 citations
6040+1+3Years since publication200400600

Peers

Molly Steele
Comparison fields: 5 of 110
  • Modeling and Simulation 324
  • Infectious Diseases 566
  • Health 109
  • General Dentistry 17
  • Clinical Psychology 112
Replace Talía M. Quandelacy with:
Talía M. Quandelacy United States
Wycliffe Enli Wei Singapore
Pragati Prasad United States
Dianne Egli-Gany Switzerland
Stefanie Hossmann Switzerland
Aziz Mert Ipekci Switzerland
Hira Imeri Switzerland
Diana Buitrago‐García Switzerland
Sebastian Hoehl Germany
Michelle O’Neill Ireland
Molly Steele relative to Talía M. Quandelacy United States Talía M. Quandelacy's profile →
Citations per field
00.5×1.5×1.9×
Talía M. Quandelacy · 1×
Citations per year

Countries citing papers authored by Molly Steele

Since Specialization
Citations

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

Fields of papers citing papers by Molly Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
SARS-CoV-2 Transmission From People Without COVID-19 Symptoms
Hit paper breakdown →
2021604
2 202275
3 202144
4 201742
5 202128
6 202224
7 201621
8 202217
9 202016
10 202212
11 202011
12 200910
13 20206
14 20186
15 20253
16 20202
17 20212
18 20202
19 20181

About Molly Steele

Molly Steele is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Hepatology and Oncology, having authored 19 papers that have together received 926 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), COVID-19 epidemiological studies (6 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 and healthcare impacts (3 papers), Infection Control and Ventilation (2 papers), Virus-based gene therapy research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Modeling and Simulation (324 citations), Infectious Diseases (566 citations), Health (109 citations), General Dentistry (17 citations) and Clinical Psychology (112 citations). Molly Steele has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Rachel B. Slayton, Michael A. Johansson, Matthew Biggerstaff, Pragati Prasad, John T. Brooks, Jay C. Butler, Talía M. Quandelacy, Sarah Kada, Aron J. Hall and Carrie Reed. Their work appears in journals such as JAMA Network Open, Vaccine, Emerging infectious diseases, The Journal of 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.

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