Sharon Tsay

2.4k citations
27 papers · 667 · h-index 12

Impact in

Papers in

Sharon Tsay

27 papers receiving 650 citations

Peers

Sharon Tsay
Comparison fields: 5 of 85
  • Applied Microbiology and Biotechnology 220
  • Infectious Diseases 429
  • Epidemiology 405
  • Molecular Medicine 37
  • Clinical Biochemistry 45
Replace Christianne Micallef with:
Christianne Micallef United Kingdom
Solja Huikko Finland
Ajith Nagahawatte Sri Lanka
Ernesto Martínez Colombia
Erik Torell Sweden
Rosemary Hollick United States
Vilhjalmur A. Arason Iceland
Joel Manyahi Tanzania
Francesca Licata Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sharon Tsay

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Tsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018205
2 2017115
3 2020107
4 201838
5 202235
6 201830
7 202223
8 202316
9 202215
10 202114
11 201914
12 202113
13 20239
14 20236
15 20126
16 19954
17 20223
18 20183
19 20212
20 20182

About Sharon Tsay

Sharon Tsay is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Infectious Diseases, General Health Professions and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 667 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (17 papers), Antifungal resistance and susceptibility (8 papers), Pneumonia and Respiratory Infections (8 papers), Patient Satisfaction in Healthcare (7 papers), Respiratory and Cough-Related Research (5 papers), Bacterial Identification and Susceptibility Testing (3 papers), Fungal Infections and Studies (3 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (220 citations), Infectious Diseases (429 citations), Epidemiology (405 citations), Molecular Medicine (37 citations) and Clinical Biochemistry (45 citations). Sharon Tsay has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Snigdha Vallabhaneni, Lauri A. Hicks, Brendan R. Jackson, Sarah Kabbani, Alexander J. Kallen, Tom Chiller, Laura King, Eugenie Poirot, Howard A. Zucker and Valerie Haley. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Infection Control and Hospital Epidemiology, MMWR Morbidity and Mortality Weekly Report and The Journal of Pediatrics.

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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