Timothy E. Sweeney

6.4k citations
78 papers · 3.2k · h-index 30

Impact in

Papers in

    • Sepsis Diagnosis and Treatment 25
    • Respiratory viral infections research 4
    • Gene expression and cancer classification 3

Timothy E. Sweeney

76 papers receiving 3.2k citations

Peers

Timothy E. Sweeney
Comparison fields: 5 of 139
  • Epidemiology 965
  • Infectious Diseases 535
  • Critical Care and Intensive Care Medicine 119
  • Immunology 461
  • Clinical Biochemistry 146
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Longxiang Su China
Angela J. Rogers United States
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Georg F. Weber Germany
Brendon P. Scicluna Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Timothy E. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Timothy E. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. Sweeney. 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 Timothy E. Sweeney. The network helps show where Timothy E. Sweeney may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016291
2 2016223
3 2015220
4 2011215
5 2013208
6 2015124
7 2016123
8 2016104
9 2014103
10 201689
11 201883
12 201678
13 201777
14 202076
15 201066
16 201762
17 201659
18 202056
19 201955
20 201448

About Timothy E. Sweeney

Timothy E. Sweeney is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Immunology and Clinical Biochemistry, having authored 78 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (25 papers), Immune Response and Inflammation (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Respiratory viral infections research (4 papers), Tuberculosis Research and Epidemiology (4 papers), Neonatal and Maternal Infections (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Epidemiology (965 citations), Infectious Diseases (535 citations), Critical Care and Intensive Care Medicine (119 citations), Immunology (461 citations) and Clinical Biochemistry (146 citations). Timothy E. Sweeney has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Purvesh Khatri, Hector R. Wong, John M. Morton, Cristina M. Tato, Claude A. Piantadosi, Hagir B. Suliman, Karen E. Welty‐Wolf, Raquel R. Bartz, Oliver Liesenfeld and Nancy Chou MacGarvey. Their work appears in journals such as Critical Care Medicine, Scientific Reports, Critical Care, PLoS ONE and Journal of Personalized Medicine.

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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