Hannah Shilling

872 citations
14 papers · 287 · h-index 7

Impact in

    • Reproductive tract infections research
    • Microbial infections and disease research
    • Blood groups and transfusion

Papers in

Hannah Shilling

13 papers receiving 283 citations

Peers

Hannah Shilling
Comparison fields: 5 of 43
  • Microbiology 208
  • Hematology 55
  • Epidemiology 79
  • Applied Microbiology and Biotechnology 4
  • Modeling and Simulation 7
Replace M. Y. Chen with:
M. Y. Chen Australia
Kirsten Salado-Rasmussen Denmark
Jan Henk Dubbink Netherlands
Petra Smyczek Canada
E Lanjouw Netherlands
Natalie Banniettis United States
Mary Mwaura Belgium
A L Bruu Norway
Erik Backhaus Sweden
Kinga Meszaros Belgium
Hannah Shilling relative to M. Y. Chen Australia M. Y. Chen's profile →
Citations per field
00.5×
M. Y. Chen · 1×
Citations per year

Countries citing papers authored by Hannah Shilling

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Shilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020186
2 202031
3 202119
4 202111
5 20218
6 20198
7 20217
8
Seroprevalence of SARS-CoV-2-specific antibodies in Sydney, Australia following the first epidemic wave in 2020
20205
9 20234
10 20244
11 20222
12 20191
13 20191
14 20240

About Hannah Shilling

Hannah Shilling is a scholar working on Epidemiology, Microbiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Surgery, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Reproductive tract infections research (5 papers), Reproductive Health and Contraception (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Health Policy Implementation Science (1 paper), Educational and Psychological Assessments (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Microbiology (208 citations), Hematology (55 citations), Epidemiology (79 citations), Applied Microbiology and Biotechnology (4 citations) and Modeling and Simulation (7 citations). Hannah Shilling has collaborated with scholars based in Australia, Switzerland and Malaysia. Frequent co-authors include Dorothy A. Machalek, Catriona S. Bradshaw, Christopher K. Fairley, Lenka A. Vodstrcil, Eric P. F. Chow, Gerald L. Murray, Suzanne M. Garland, Jane S. Hocking, Magnus Unemo and Yusha Tao. Their work appears in journals such as The Medical Journal of Australia, Sexually Transmitted Infections, Vaccine, Preventive Medicine Reports and The Lancet 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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