Sue Smith

1.6k citations
35 papers · 781 · h-index 17

Impact in

Papers in

Sue Smith

33 papers receiving 760 citations

Peers

Sue Smith
Comparison fields: 5 of 101
  • Applied Microbiology and Biotechnology 92
  • Health, Toxicology and Mutagenesis 124
  • Research and Theory 7
  • Modeling and Simulation 38
  • Epidemiology 202
Replace Roger Morbey with:
Roger Morbey United Kingdom
Alexander G. Mathioudakis United Kingdom
Matthias Schlegel Switzerland
Caroline A. O’Neil United States
Carlo Signorelli Italy
Francesca Rubulotta Italy
Emily White Johansson Sweden
Per H. Gesteland United States
Justin Laracy United States
Ulrich Helfenstein Switzerland
Sue Smith relative to Roger Morbey United Kingdom Roger Morbey's profile →
Citations per field
00.5×1.5×
Roger Morbey · 1×
Citations per year

Countries citing papers authored by Sue Smith

Since Specialization
Citations

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

Fields of papers citing papers by Sue Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014127
2 200076
3 202049
4 201041
5 201641
6 201640
7 201439
8 201334
9 201133
10 200433
11 201031
12 201122
13 201622
14 200421
15 200820
16 200818
17 201817
18
Diagnosis of left atrial sarcoma by transvenous endocardial biopsy.
200116
19 200615
20 200914

About Sue Smith

Sue Smith is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, Applied Microbiology and Biotechnology and Modeling and Simulation, having authored 35 papers that have together received 781 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (7 papers), Climate Change and Health Impacts (5 papers), Influenza Virus Research Studies (4 papers), COVID-19 epidemiological studies (3 papers), Air Quality and Health Impacts (3 papers), Antibiotic Use and Resistance (3 papers), Respiratory viral infections research (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (92 citations), Health, Toxicology and Mutagenesis (124 citations), Research and Theory (7 citations), Modeling and Simulation (38 citations) and Epidemiology (202 citations). Sue Smith has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Gillian Smith, Alex J. Elliot, Roger Morbey, Paul Ziprin, R. David Rosin, Grazia Salerno, Jeremy Hawker, Douglas Fleming, Alan P. Johnson and Andrew Hayward. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Journal of Public Health, Public Health and Journal of Medical Internet Research.

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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